# Fetch Source: https://docs.istari.ai/api-reference/fetch /api-reference/openapi.json post /fetch # Filters Options Source: https://docs.istari.ai/api-reference/filters-options /api-reference/openapi.json get /filters/options # List or look up locations Source: https://docs.istari.ai/api-reference/locations/list-or-look-up-locations /api-reference/openapi.json get /locations Returns location-tree entries from the shared `goi_locations` table. Modes: - Root: `parent_id` omitted, empty, or `null` → returns continents and countries - Children: `parent_id=` → direct children of that location - Exact: `name=&location_type=` → exact lookup Locations are global navigation metadata — open to any caller past auth, no `regionAccess` filtering applied. # Search locations by name Source: https://docs.istari.ai/api-reference/locations/search-locations-by-name /api-reference/openapi.json get /locations/search Ranked search over `goi_locations.name` with exact, prefix, substring, and fuzzy (trigram) layers. Returns the same item shape as `/v1/locations`. Open to any caller past auth. # Search Source: https://docs.istari.ai/api-reference/search /api-reference/openapi.json post /search # Aggregate counts — group by dimension(s) with filters Source: https://docs.istari.ai/api-reference/stats/aggregate-counts-—-group-by-dimensions-with-filters /api-reference/openapi.json post /stats Returns `COUNT(*)` bucketed by one or two categorical dimensions with optional column filters and an optional date range. No search scoring — pure SQL `GROUP BY`. **Use cases:** NACE distribution by country, org size breakdown, top keywords for a sector, monthly registration trends. **Dimensions (`group_by` / `group_by_secondary`):** continent, country, country_code, state, state_code, region, region_code, district, district_code, municipality, municipality_code, nace_code, organization_type, organization_size, employee_class, revenue_class, summary_keywords (unnested), company_register_date, created_at. `summary_keywords` is automatically unnested — each keyword in the array counts as its own bucket. Date dimensions use `DATE_TRUNC` and are ordered chronologically (ASC). All other dimensions are ordered by count DESC. Monthly request quotas apply by API key tier. # Overview Source: https://docs.istari.ai/api/api_start_page Programmatic access to the ISTARI Global Organization Index (GOI) via API key. Use it to **discover** organizations (keyword, semantic description, similarity to known domains, or filters alone), **look up** known domains in bulk, and (on eligible tiers) run **aggregations** and read **filter option** lists. **Interactive reference:** try endpoints in the [API Playground](/api-reference/search). Don't have a key yet? Create one under [API keys](/goi/api-keys) in the GOI dashboard. ## Base URL All GOI API paths are under: ```text theme={null} https://api.istari.ai/v2/ ``` Examples: * `POST https://api.istari.ai/v2/search` * `POST https://api.istari.ai/v2/fetch` ## Authentication Every request must include your API key: ```http theme={null} x-api-key: ``` Keys are issued for GOI access tiers (`tier_1` or `tier_2`). Quotas and rate limits depend on the tier assigned to your key (see [Reference](/api/goi-reference#rate-limits-and-tiers)). ## Quick example : search ```bash theme={null} curl --location 'https://api.istari.ai/v2/search' \ --header 'Accept: application/json' \ --header 'x-api-key: your-api-key' \ --header 'Content-Type: application/json' \ --data '{ "describe": "SaaS organizations in the US", "keywords": { "must_all": [], "must_any": [], "must_not": [] }, "filters": { "country": ["United States"], "state": [], "region": [], "organization_type": [], "organization_size": [], "nace_code": [] }, "excludes": [], "columns": ["domain"], "size": 50 }' ``` ## Endpoints at a glance Paths are relative to **`https://api.istari.ai/v2`**. | Method | Path | Purpose | | ------ | ------------------ | ----------------------------------------------------------------------------------------- | | `POST` | `/search` | Search and rank organisations (modes described in [Search](/api/goi-search)) | | `POST` | `/fetch` | Bulk lookup by domain list: no scoring ([Fetch, stats & utilities](/api/goi-fetch-stats)) | | `POST` | `/stats` | Aggregations (`COUNT` by dimension); monthly quota by tier | | `GET` | `/filters/options` | Allowed values for categorical filters (scoped to your key) | | `GET` | `/health` | Liveness / database check | ## Documentation map * [Search](/api/goi-search): request body, auto-detected modes, keywords, `similar_to`, `describe`, filters, pagination, deduplication * [Fetch, stats & utilities](/api/goi-fetch-stats): `/fetch`, `/stats`, `/filters/options`, and health * [Reference: columns, filters, limits & errors](/api/goi-reference): response fields, quotas, HTTP errors # Fetch & statistics Source: https://docs.istari.ai/api/goi-fetch-stats v2 /fetch bulk lookup, /stats aggregations, /filters/options, health and test. Base URL prefix: **`https://api.istari.ai/v2`**. ## `POST /fetch` : bulk domain lookup Returns current GOI rows for domains you already know. There is **no** relevance ranking. ### Request ```json theme={null} { "domains": ["stripe.com", "adyen.com", "unknown.example"], "columns": ["domain", "name", "country", "nace_code"] } ``` * **domains**: required, non-empty list, **maximum 5,000** domains per request. * **columns**: same rules as search; default `["domain", "name", "country"]`. See [Reference: columns](/api/goi-reference#selectable-columns). Domains your key is not allowed to see are treated like missing and appear in `metadata.missing`. ### Response ```json theme={null} { "data": [ … ], "metadata": { "requested": 3, "found": 2, "missing": ["unknown.example"] } } ``` *** ## `POST /stats` : aggregations Returns `COUNT(*)` buckets over the filtered population. No text or vector scoring, plain SQL grouping. Available on all customer API tiers. Monthly **request** quotas apply by tier (see [Reference: rate limits](/api/goi-reference#rate-limits-and-tiers)). ### Request (shape) ```json theme={null} { "group_by": "nace_code", "group_by_secondary": "organization_size", "date_trunc": "month", "filters": { "country": ["Germany"] }, "date_range": { "field": "company_register_date", "from_date": "2020-01-01", "to_date": "2024-12-31" }, "limit": 100 } ``` | Field | Description | | -------------------- | ------------------------------------------------------------------------------------------------------------------------------- | | `group_by` | Optional. Primary dimension to bucket by. Omit for a **single total** count. | | `group_by_secondary` | Optional second dimension (2D breakdown). Requires `group_by`. Must differ from `group_by`. | | `date_trunc` | `year`, `month`, or `week`: used when a grouping column is a **date** (`company_register_date`, `created_at`). | | `filters` | Same column filters as `/search`. **`text_keywords` is not supported** in stats. | | `date_range` | Optional bounds on `company_register_date`, `created_at`, or `updated_at`. | | `limit` | Max buckets returned (default `100`, max `500`). Ordered by count descending, except date dimensions (chronological ascending). | ### Allowed `group_by` / `group_by_secondary` columns Geographic: `continent`, `country`, `country_code`, `state`, `state_code`, `region`, `region_code`, `district`, `district_code`, `municipality`, `municipality_code`. Classification: `nace_code`, `organization_type`, `organization_size`, `employee_class`, `revenue_class`. Source / registry: `source`, `company_register_court`. Array (exploded per value): `summary_keywords`. Date (use with `date_trunc`): `company_register_date`, `created_at`. ### Response Each bucket in `data` includes the grouping column value(s) and a `count`. Top-level `elapsed_ms` and `metadata` echo timings, filters, and bucket counts. *** ## `GET /filters/options` Returns JSON suitable for building filter UIs: allowed categorical values, **scoped to your API key’s data access**. No request body. *** ## `GET /health` Lightweight check that the service can reach the database. Response shape: ```json theme={null} { "healthy": true } ``` or, on failure, `healthy: false` with an `error` message. *** ## Minimal `curl` : fetch ```bash theme={null} curl -sS 'https://api.istari.ai/v2/fetch' \ -H 'Content-Type: application/json' \ -H 'x-api-key: YOUR_KEY' \ -d '{"domains":["istari.ai"],"columns":["domain","name","country"]}' ``` # Reference Source: https://docs.istari.ai/api/goi-reference GOI API, selectable columns, filters, tiers, rate limits, and HTTP errors. ## Selectable columns Default for **`POST …/v2/search`** and **`POST …/v2/fetch`**: `["domain", "name", "country"]`. Request a subset via `columns`. **`domain` is always included** in each row. Allowed column names: | Column | Typical use | | ---------------------------------------------------------------- | ----------------------------- | | `domain` | Primary identifier (hostname) | | `name` | Legal or trade name | | `summary` | Short text description | | `summary_keywords` | Extracted keyword tags | | `address` | Street address | | `organization_type` | e.g. Company, Startup | | `organization_size` | Size band | | `employee_class` | Employee count bracket | | `revenue_class` | Revenue bracket | | `nace_code` | Industry (NACE) | | `continent`, `country`, `country_code` | Geography | | `state`, `state_code`, `region`, `region_code` | Subnational hierarchy | | `district`, `district_code`, `municipality`, `municipality_code` | Finer admin units | | `lat`, `lon` | Coordinates (may be `null`) | | `new_register_entry` | Recently registered flag | | `company_register_date`, `company_register_id` | Register metadata | | `created_at` | Row creation time | **Never returned:** raw long text used only for indexing, embedding vectors, and internal flags such as `has_embedding`. *** ## Filters object All keys are optional. Lists mean **“match any of these values”** for that field (OR inside the field). | Field | Matches | | -------------------------------------------------------- | --------------------------------------------------------------------------------------- | | `country`, `state`, `region`, `district`, `municipality` | Exact string on the corresponding column | | `organization_type` | e.g. `Company`, `Startup`, `Public`, `Academic`, `Other` | | `organization_size` | e.g. `Micro (0-9)`, `Small (10-49)`, `Medium-sized (50-249)`, `Large enterprise (250+)` | | `nace_code` | Section letter (e.g. `K`) or detailed code (e.g. `62.01`) | | `source` | Data provenance bucket | | `company_register_court` | Court / register name | | `register_date_from`, `register_date_to` | Inclusive ISO dates (`YYYY-MM-DD`) on registration dates | | `summary_keywords` | Fast exact match on keyword array | | `text_keywords` | Same object shape as top-level `keywords`: BM25 sub-filter on text | Use **`GET …/v2/filters/options`** for values your key may actually use. *** ## Rate limits and tiers Throughput and monthly quotas depend on your key’s tier (enforced at the gateway and in service middleware). Typical **public** tier profile: | Tier | Approx. steady RPS | Burst | Monthly request quota | | -------- | ------------------ | ----- | --------------------- | | `tier_1` | 2 | 5 | 10,000 | | `tier_2` | 5 | 10 | 50,000 | Monthly **`POST /stats`** request quotas (per key, per calendar month): | Tier | `/stats` requests/month | | -------- | ----------------------- | | `tier_1` | 500 | | `tier_2` | 5,000 | Result rows also count against monthly **result** quotas where configured (`/search` and `/fetch`). `/stats` counts requests only. Responses may include rate-limit headers, for example: ```http theme={null} X-RateLimit-Requests-Limit: 10000 X-RateLimit-Requests-Remaining: 9843 X-RateLimit-Results-Limit: 500000 X-RateLimit-Results-Remaining: 498231 X-RateLimit-Reset: 2026-04-01T00:00:00Z ``` When limits are exceeded, the API returns **`429 Too Many Requests`**. *** ## HTTP errors | Status | Meaning | | ------ | ------------------------------------------------------ | | `400` | Malformed or inconsistent input | | `401` | Missing or invalid API key | | `403` | Authenticated but action not allowed for this tier | | `422` | Validation error (body fails schema or business rules) | | `429` | Rate or quota exceeded | | `500` | Unexpected server error | Error bodies are usually JSON with a `detail` or `error` field you can log. *** ## Related * [Overview & endpoint list](/api/api_start_page) * [Search behaviour](/api/goi-search) * [Fetch and stats](/api/goi-fetch-stats) # Search Source: https://docs.istari.ai/api/goi-search POST /v2/search, modes, keywords, semantic and similarity queries, filters, pagination. Search returns a JSON object with a `data` array of organisation rows and a `metadata` object (total hits, mode, timing, pagination cursor, filters applied). ## Requirements You must supply **at least one** of: * `filters`: column filters only (browse / filter mode) * `keywords`: BM25 text search * `describe`: natural-language description → embedding search (**cannot** be combined with `similar_to`) * `similar_to`: similarity to one or more reference domains (**cannot** be combined with `describe`) `similar_to` and `describe` are **mutually exclusive**. ## Search mode (automatic) You do **not** send a mode name. The API infers it from your inputs: | `metadata.mode` value | When it runs | | --------------------- | ------------------------------------------------------------ | | `filter` | Only `filters` (no `keywords`, `describe`, or `similar_to`) | | `fulltext` | `keywords` only (no `describe`, no `similar_to`) | | `semantic` | `describe` only | | `vector_similarity` | `similar_to` only | | `hybrid` | `keywords` together with `similar_to` **or** with `describe` | Hybrid queries blend BM25 and vector ranking (reciprocal rank fusion). Use `search_balance` from `0.0` (BM25-heavy) to `1.0` (vector-heavy); default `0.5`. ## Request body (overview) ```json theme={null} { "similar_to": ["stripe.com"], "describe": null, "keywords": { "must_all": [], "must_any": [], "must_not": [] }, "filters": { }, "excludes": [], "columns": ["domain", "name", "country"], "size": 100, "min_score": null, "search_balance": 0.5, "search_after": null, "dedup": false } ``` | Field | Notes | | -------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------- | | `columns` | Subset of allowed columns; `domain` is always returned. Default `["domain", "name", "country"]`. See [Reference](/api/goi-reference#selectable-columns). | | `size` | Page size, default `100`, maximum `500`. | | `min_score` | Optional `0.0`–`1.0` cosine similarity floor for vector / semantic / hybrid modes. | | `search_after` | Opaque cursor from the previous response’s `metadata.search_after` for pagination. | | `dedup` | If `true`, collapse rows that share the same organization `name`, keeping the best match until `size` rows. | ## Keywords (`keywords`) Drives BM25 search on name and description (and participates in hybrid): ```json theme={null} { "must_all": ["payments", "B2B"], "must_any": ["SaaS", "cloud"], "must_not": ["crypto"] } ``` All parts are optional, but **`must_not` alone is invalid**: you need at least one of `must_all` or `must_any` whenever `must_not` is present. ## Similar organizations (`similar_to`) Pass up to **three** domains as strings, or as objects for **steering** (boost / penalize terms, repel domains, weight): ```json theme={null} { "similar_to": [ { "domain": "stripe.com", "boost": ["enterprise", "B2B"], "penalize": ["consumer"], "repel_domains": ["paypal.com"], "weight": 1.0 } ] } ``` * `boost`, `penalize`, `repel_domains`: up to **5** entries each. * `weight`: number from **0.0** to **2.0**, or the strings **`weak`**, **`normal`**, **`strong`** (mapped to internal numeric weights). Default **1.0**. ## Semantic description (`describe`) Free-text description of the kind of organizations you want; embedded and searched like a vector query. Cannot be used together with `similar_to`. ## Filters (`filters`) Optional on any mode. Multiple values in a list are OR-combined for that field. Full field list and semantics: [Reference, filters](/api/goi-reference#filters-object). Inside `filters`, `text_keywords` uses the same shape as top-level `keywords` but acts as a **strict BM25 filter** on text (slower than `summary_keywords` for exact keyword-array matches). ## Excludes `excludes` is a list of domains that must not appear in results, regardless of score. ## Pagination * First page: omit `search_after` or send `null`. * Next page: copy `metadata.search_after` from the previous response into the next request. Scored modes use an offset-style cursor with a **maximum depth of 10,000** rows. **Filter-only** mode uses keyset pagination by domain and has **no** depth cap. When `metadata.search_after` is `null`, there is no further page. ## Example requests **Filter-only browse (Germany):** ```json theme={null} { "filters": { "country": ["Germany"] }, "size": 50 } ``` **Keyword search with geography:** ```json theme={null} { "keywords": { "must_any": ["renewable energy", "solar"] }, "filters": { "country": ["Germany", "Austria"] } } ``` **Similar to a reference organization:** ```json theme={null} { "similar_to": ["stripe.com"], "filters": { "country": ["Ireland", "Germany"] }, "columns": ["domain", "name", "country", "nace_code"] } ``` **Hybrid (keywords + description):** ```json theme={null} { "keywords": { "must_all": ["HR", "software"] }, "describe": "payroll automation for SMEs", "search_balance": 0.6, "size": 20 } ``` ## Response shape ```json theme={null} { "data": [ { "domain": "example.com", "name": "Example GmbH", "country": "Germany" } ], "metadata": { "total_hits": 142, "returned": 25, "mode": "hybrid", "elapsed_ms": 312, "search_after": [25], "filters_applied": { "country": ["Germany"] } } } ``` `total_hits` may be `null` in some filter paths. See [Errors](/api/goi-reference#http-errors) for failure responses. # Find lookalikes Source: https://docs.istari.ai/cookbooks/find-lookalikes Given one or more reference organizations, return similar organizations, for competitive mapping, M&A screening, or prospecting. **Inputs:** 1–3 reference `domains` · optional `location`. **Returns:** organizations similar to the references by embedding similarity. Use this when you have a known organization and want "more like this", competitors, acquisition targets, or lookalike prospects for an ABM list. ## The recipe Set `ISTARI_API_KEY`, then swap in your reference `domains` and optional `country`. The request maps to `POST /v2/search` with `similar_to`. ```python theme={null} import os import requests API_KEY = os.environ["ISTARI_API_KEY"] def find_lookalikes(domains: list[str], country: str | None = "Germany") -> list[dict]: body = { "similar_to": domains, "excludes": domains, # always exclude your references "filters": {"country": [country]} if country else {}, "columns": ["domain", "name", "country", "nace_code"], "min_score": 0.55, # raise toward 0.6 if results look loose "size": 20, "dedup": True, } resp = requests.post( "https://api.istari.ai/v2/search", headers={"x-api-key": API_KEY, "Content-Type": "application/json"}, json=body, ) return resp.json()["data"] for row in find_lookalikes(["n26.com"]): print(row["domain"], "-", row["name"]) ``` ## What each lever does | Lever | Role | | --------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------- | | `similar_to` | The reference set. Pass 2–3 domains to define a "centroid" (e.g. three competitors) and find the cluster around them. | | `excludes` | Removes the references from results. | | `min_score` | Tightens similarity. Default `0.35` is broad; `0.55–0.65` keeps only close matches; `0.8+` near-duplicates only. | | `filters.country` / `filters.nace_code` / `filters.organization_size` | Optional post-filters to scope the lookalikes. | ## Validated examples Embedding similarity is the corpus's strongest signal — it holds for famous brands *and* unknown SMEs: | Reference | Returns | | -------------------------------- | ------------------------------------------------------------------- | | `n26.com` (neobank) | Trade Republic, C24 Bank, ING, Evergreen, Gini | | `celonis.com` (process mining) | Mimica, mindzie, iGrafx, ARIS, Wang Fan Xin | | `bipack.it` (corrugated-box SME) | CARPACK (MX), Scatolificio Valverde (IT), Cartoembal (ES), SBC (BR) | ## Notes * **Exclusion is by exact domain.** A reference's sister domains can still appear (here `number26.de`, N26's alternate, surfaced). Add every known domain to `excludes`. * **Multi-domain queries are fused** with reciprocal-rank fusion: great for "organizations like A, B *and* C". * **To steer** toward or away from concepts (boost/penalize terms, repel specific organizations), use [`find_similar_with_steering`](/mcp/tools). * Pair with [`POST /v2/fetch`](/api/goi-fetch-stats) to hydrate full profiles for the shortlist. # Market sizing Source: https://docs.istari.ai/cookbooks/market-sizing Count and break down a sector across geographies, exact, reproducible numbers for TAM and territory planning. **Inputs:** a sector (`nace_code`) + scope (`country`) · a breakdown dimension (`group_by`). **Returns:** exact counts per bucket. `POST /v2/stats` answers "how many" and "distribution of" with **exact, deterministic** counts, unlike search, which scores and ranks. Use it for market sizing, territory planning, and coverage checks. ## The recipe Set `ISTARI_API_KEY`, then swap in your filters and `group_by` dimension. The request maps to `POST /v2/stats`. ```python theme={null} import os import requests API_KEY = os.environ["ISTARI_API_KEY"] def aggregate_market( country: str, nace_code: str, group_by: str = "state", limit: int = 20, ) -> list[dict]: body = { "filters": { "country": [country], "nace_code": [nace_code], }, "group_by": group_by, # or: country, region, organization_size, nace_code, ... "limit": limit, } resp = requests.post( "https://api.istari.ai/v2/stats", headers={"x-api-key": API_KEY, "Content-Type": "application/json"}, json=body, ) return resp.json()["data"] for bucket in aggregate_market("Germany", "NACE C: Manufacturing"): print(bucket["state"], bucket["count"]) ``` ## What each lever does | Lever | Role | | ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------- | | `filters` (`nace_code`, `country`, `region`, `organization_size`, `organization_type`, …) | Structured filters that define the slice you're sizing. | | `group_by` | The breakdown dimension. Omit for a single total `COUNT(*)`. | | `group_by_secondary` | Optional 2nd dimension for a cross-tab (e.g. `country` × `nace_code`). | ## Validated examples The same tool, three different breakdowns — all exact: **German manufacturers (`NACE C`) by `state`:** Nordrhein-Westfalen 37,627 · Bayern 31,543 · Baden-Württemberg 29,705 · Niedersachsen 13,190 · Hessen 11,675 **German manufacturers by `organization_size`:** Small (10–49) 81,270 · Micro (0–9) 62,792 · Medium (50–249) 17,598 · Large (250+) 9,473 **Switzerland by `nace_code` (sector mix):** Professional/scientific (N) 53,397 · Wholesale/retail (G) 27,872 · Manufacturing (C) 21,985 · Health (R) 19,996 · Construction (F) 19,874 ## Notes **Aggregate ignores keyword filters.** `POST /v2/stats` honors structured `filters` (country, NACE, size, type, region, dates, `summary_keywords`) but **silently ignores** `keywords`. So an aggregate is a *sector + geography* denominator: never a product-specific count. Label it honestly ("manufacturers + traders in DE"), not "suppliers of product X". * For a **product-specific** count, there's no exact tool: deliver the [supplier shortlist](/cookbooks/supplier-discovery) instead, and quote the aggregate only as a labeled sector denominator. * Discover valid `summary_keywords` tags by running `POST /v2/stats` with `group_by: "summary_keywords"` on a narrow slice rather than guessing. # Niche & deep-tech finder Source: https://docs.istari.ai/cookbooks/niche-finder Find the companies that actually do one specific thing — a niche product or a frontier technology — anywhere in the world. **Inputs:** `what` (free text — a product, technology, or capability) · optional `location`. **Returns:** the companies whose business *is* that thing. This is the template for the long tail: corrugated cardboard, solid-state batteries, hydrogen electrolyzers, quantum computing. GOI's corpus is SME- and niche-heavy and web-verified, so the companies exist — the trick is precision. A bare semantic search drifts to adjacent topics; the fix is to **anchor**. ## The recipe Set `ISTARI_API_KEY`, then swap in your `what` and `anchor` terms. The request maps to `POST /v2/search`. ```python theme={null} import os import requests API_KEY = os.environ["ISTARI_API_KEY"] def find_niche_companies(what: str, anchor: str) -> list[dict]: body = { "describe": what, # rich description — carries the specifics "keywords": { "must_all": [anchor], # the one word that MUST be in the description "must_not": ["consulting", "recruitment", "marketing agency"], }, "filters": { "nace_code": ["NACE C: Manufacturing"], # optional — drop to include services }, "columns": ["domain", "name", "country", "nace_code"], "size": 15, "dedup": True, } resp = requests.post( "https://api.istari.ai/v2/search", headers={"x-api-key": API_KEY, "Content-Type": "application/json"}, json=body, ) return resp.json()["data"] for row in find_niche_companies("quantum computing", "quantum"): print(row["domain"], "-", row["name"]) ``` The **anchor** (`keywords.must_all`) is what turns a fuzzy semantic match into a precise one. The `describe` field carries the nuance the anchor can't (`solid-state`, `green hydrogen`, `fault-tolerant`). ## What each lever does | Lever | Role | | ----------------------- | -------------------------------------------------------------------------------------------------------------------- | | `describe` | Full natural-language description. Carries specificity the single anchor word can't. | | `keywords.must_all` | **The anchor.** The defining term that must appear in the company's description. This is what removes drift. | | `keywords.must_any` | Use *instead* of `must_all` for spelling/synonym variants (`electrolyzer`/`electrolyser`, `e-bike`/`electric bike`). | | `keywords.must_not` | Strips perennial noise — consultancies, recruiters, agencies. Add `"distributor","reseller"` to keep only makers. | | `filters.nace_code` = C | Optional. Restricts to manufacturers when you want builders, not services. | ## Validated examples One pattern, five wildly different niches — all returned the real players: | Niche (`what`) | Anchor | Representative hits | | ---------------------- | ------------------------------------------ | ----------------------------------------------------- | | Quantum computing | `quantum` | Rigetti, PsiQuantum, Quantum Circuits, Anyon, SEMIQON | | Solid-state batteries | `battery` | Solid Power, QuantumScape, QingTao, Jinyu | | Vertical farming | `vertical farming` | Netled, GoodLeaf, 4D Bios, AGEYE | | Hydrogen electrolyzers | `electrolyzer`/`electrolyser` (`must_any`) | Exion Hydrogen, CENmat, PERIC, Electrogenos | | Corrugated cardboard | `corrugated`, `cardboard` | Kartonex, Bipack, EICSA, SouthEastern | ## Notes * **The anchor is everything.** Drop `keywords.must_all` and the semantic query drifts to neighbors (battery analytics, packaging consultants). Keep it tight and literal. * **Handle spelling/synonyms with `must_any`.** `["electrolyzer","electrolyser","electrolysis"]` caught makers using any spelling. Same for regional terms. * **One anchor word beats two.** `["corrugated"]` pulled some corrugated-*metal* makers; `["corrugated","cardboard"]` (both required) fixes it. Add a second anchor only to disambiguate. * **Ignore the `Total` field** in keyword mode — it shows `0` while returning a full page. Count the rows. * **Don't set `min_score`** — hybrid retrieval collapses under a floor here. * This is also how you find **"innovative / deep-tech companies in X"**: anchor on the technology, not on a company `type` (startup typing is sparse in the corpus and will cost you real matches). # Overview Source: https://docs.istari.ai/cookbooks/overview Best-practice recipes for getting clean, reproducible results from the GOI API and MCP connector. **Cookbooks** are battle-tested recipes for the research tasks people run against GOI most often — supplier shortlists, lookalikes, market sizing, niche and deep-tech discovery, and agent workflows. Each one is a fixed pattern: you supply one or two inputs, everything else stays locked in, and you get the same clean result every time. ## Query templates The GOI API is super powerful. A single [`POST /v2/search`](/api/api_start_page) endpoint can run a semantic, full-text (BM25), hybrid, and similarity search across **\~20M web-verified organizations**, with structured filters for geography, sector, size, and more. That flexibility is the point but it also means there are many ways to phrase any given query, and the gap between an *okay* result and an *excellent* one lives entirely in the parameters. **Query templates are the recommended way to harness that power.** Each one distills a common use case into a fixed, validated parameter recipe: the disciplined combination of `describe`, `keywords`, `filters`, and more that reliably returns the right organizations. Think of them as the canonical "best way to do *X* with the GOI API": copy the recipe, swap in your inputs, and ship; no need to rediscover the winning combination yourself. Every template includes a copy-paste **Python** example against `POST /v2/search` or `POST /v2/stats`. Given a product + location, return a supplier shortlist (makers + distributors). Given a reference organization, find similar organizations, competitors, targets, prospects. Count and break down a sector across geographies, exact, reproducible numbers. Find the organizations that actually do one specific thing — a niche product or frontier tech. ## MCP & agents Recipes for driving GOI through the [MCP connector](/mcp/overview) in Claude, Cursor, or any agent. Chain tools end to end — resolve a place, size a market, pull the players, profile one. A drop-in skill so an agent applies the right parameters automatically. **Reproducible within an index version.** Same inputs + same template + same GOI snapshot → same results. Results change as the corpus refreshes; to freeze output, snapshot the returned domains and re-hydrate later via `get_organization_details`. # Supplier discovery Source: https://docs.istari.ai/cookbooks/supplier-discovery Given a product and a location, return a clean supplier shortlist, manufacturers and distributors, every time. **Inputs:** `product` (free text) · `location` (a country). **Returns:** a deduped shortlist of suppliers. A bare `POST /v2/search` with only a free-text `describe` field mixes in repair shops, rental firms, and parts makers, and the order drifts between runs. The quality comes from disciplined parameters that this template bakes in. ## The recipe Set `ISTARI_API_KEY`, then swap in your `product` and `country`. The request maps to `POST /v2/search`. ```python theme={null} import os import requests API_KEY = os.environ["ISTARI_API_KEY"] def find_suppliers(product: str, country: str) -> list[dict]: body = { "describe": f"{product} supplier manufacturer distributor wholesale vendor", "keywords": { "must_any": [ "supplier", "distributor", "wholesale", "manufacturer", "reseller", "vendor", "trading", ], "must_not": [ "repair", "rental", "service center", "maintenance", "recruitment", ], }, "filters": { "country": [country], "nace_code": [ "NACE C: Manufacturing", "NACE G: Wholesale and retail trade", ], }, "columns": ["domain", "name", "country", "nace_code", "organization_type"], "size": 12, "dedup": True, } resp = requests.post( "https://api.istari.ai/v2/search", headers={"x-api-key": API_KEY, "Content-Type": "application/json"}, json=body, ) return resp.json()["data"] for row in find_suppliers("industrial valves", "Spain"): print(row["domain"], "-", row["name"]) ``` ## What each lever does | Lever | Role | | ------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------- | | `filters.nace_code` = **C + G** | The main levers. Admits makers (C) and traders (G); excludes repair, rental, consulting by category. This is what removes the noise: don't drop it. | | `describe` | Weights the product + supply intent. Self-adjusts: leans distributor for imported goods, manufacturer where made locally. | | `keywords.must_any` | Forces supply-side language to be present (also required so `must_not` can run). | | `keywords.must_not` | A soft down-weight, **not** a hard filter: real exclusion comes from NACE. | | `dedup` | Collapses duplicate organization names. | ## Validated example `product="industrial valves"`, `country="Spain"` → a clean mix of manufacturers and distributors: | Organization | Type | NACE | | --------------------------------------- | ------------ | ---- | | Babcock Valves, Tecval, FHT, ICP Valves | Manufacturer | C | | VAINDUSA, ACOM, DIMAC | Distributor | G | The same template was validated across different use cases like MacBooks (UAE, distributor-heavy), hydraulic pumps (Germany, maker-heavy), solar panels (India, mixed), electronic components (Singapore, trading hub), and surgical gloves (India — Asma, Kanam Latex, Saachi), one parameter set, product-appropriate skew in every geography. ## Notes **Don't set `min_score`.** Keywords trigger hybrid retrieval, where a `min_score` of \~0.45 can collapse a clean 12-result query down to 1. Let NACE + keywords do the precision work. * **Country is activity-based.** GOI resolves location by where an organization is *active*, not solely legal HQ: a firm operating in your market can appear even if incorporated abroad. If strict incorporation matters, post-validate. * **City filters are coarse.** `municipality=["Dubai"]` can return zero (geocoding granularity). Prefer `country`, or `region`/`state` via [`resolve_location`](/mcp/tools). * **Ignore the `Total` field** in keyword mode: it reports `0` while returning a full page. Count the returned rows. * **For strict product matching**, add `"must_all": [""]` inside `keywords` (fewer results, higher precision). # Pricing and limits Source: https://docs.istari.ai/docs/pricing How GOI account tiers, commercial plans, and API key tiers map to dashboard, MCP, and API quotas. GOI pricing has two layers that are easy to mix up: 1. **Account tier** — who you are when you use the [GOI dashboard](https://index.istari.ai) or [GOI MCP](/mcp/overview). Set by your login and subscription. 2. **API key tier** — which quotas apply when you call the [GOI API](/api/api_start_page). Only available on **premium** accounts. GOI access by account tier: Guest uses the dashboard; Standard adds GOI MCP; Premium unlocks dashboard, GOI MCP, and GOI API with tier_1 or tier_2 keys The [istari.ai technology page](https://www.istari.ai/en/technology) shows **Regional** and **Global** commercial packages. Those plans set your account tier, geographic coverage, and API key tier. The tables below show the **rate limits** which are consequentially enforced. All monthly quotas reset on the **first of each month (UTC)**. A server-level burst cap of **60 requests/minute per IP** also applies across dashboard, API, and MCP. ## Account tiers | Tier | Who gets it | Dashboard | GOI MCP | API keys | | ------------ | ---------------------------------------------------------------- | --------------------------- | ------------------ | -------- | | **Guest** | Visitor without signing in | Limited search and map | No | No | | **Standard** | Any signed-in user at [index.istari.ai](https://index.istari.ai) | Full UI with monthly quotas | Yes | No | | **Premium** | Paid commercial plan (Regional or Global) | Higher quotas + exports | Yes, higher quotas | Yes | **Standard** is the default when you create a free account and sign in. You can search, filter, save lists, and use GOI MCP within the limits below. **Premium** is required for **API access** (creating keys in the dashboard), **CSV/XLSX exports**, and the higher monthly quotas. API key management is blocked for standard accounts. ## Commercial plans There are two paid packages. Both include the web interface, API access, and GOI MCP. The difference is mainly **coverage** and **volume**. | Plan | Annual price | Coverage | Base monthly volume | Analyst upgrade | | ------------ | ------------- | ------------------------------------------------------------ | ------------------------------- | -------------------------------------- | | **Regional** | €2,500 / year | One or more areas at region, district, or municipality level | 5,000 organization rows / month | +€7,500 / year → 250,000 rows / month | | **Global** | €5,000 / year | Worldwide | 5,000 organization rows / month | +€20,000 / year → 250,000 rows / month | ### What counts as a region (Regional plan) On the **Regional** plan, coverage is scoped to geographic areas you select in the GOI dashboard. A region can be defined at the **region**, **district**, or **municipality** level — not at **country** or **state** level. GOI location picker showing Region, District, and Municipality levels in a hierarchy For example, *Rhein-Neckar-Kreis* is a **region**, *Weinheim* can appear as a **district** or **municipality**, each with its own organization count. Your plan limits which of these units you can query and export. **Global** plans remove this geographic scope — you can search across all countries that GOI covers. **How to read "downloads" on the website:** each returned organization row via search counts toward your monthly **result** quota. A search that returns 50 organizations uses 50 rows; a CSV export uses one download request but can include up to thousands of rows against the same quota. **Analyst upgrade** raises you to higher API and dashboard result caps (roughly aligned with **API tier 2** / premium dashboard limits at **250,000 rows/month**). Contact [support@istari.ai](mailto:support@istari.ai) to change plan or upgrade. ## GOI dashboard limits Quotas apply per calendar month. **Results** = organization rows returned (search hits or fetch IDs). ### Search | Account tier | Requests / month | Results / month | | ------------ | ---------------: | --------------: | | Guest | 20 | 2,000 | | Standard | 100 | 1,000 | | Premium | 5,000 | 250,000 | ### Export (CSV / XLSX) Max **5,000 rows per export** request. ### Easy mode in GOI dashboard | Account tier | Requests / month | | ------------ | ---------------: | | Guest | 5 | | Standard | 100 | | Premium | 5,000 | ## GOI MCP limits GOI MCP uses the same **standard** / **premium** account tiers as the dashboard (via your [index.istari.ai](https://index.istari.ai) login). [Request access](https://index.istari.ai/goi-mcp-access) and see [Connect](/mcp/connect) to add GOI MCP as a custom connector. Limits are grouped into **tool buckets**. All tools in a bucket share one monthly budget. | Bucket | Tools | Standard | Premium | | ---------- | ---------------------------------------------------------------------------------------------------------- | ---------------------------- | ------------------------------ | | **Search** | `search_organizations`, `find_similar_organizations`, `find_similar_with_steering`, `filter_organizations` | 100 requests / 1,000 results | 1,000 requests / 5,000 results | | **Fetch** | `get_organization_details` | 100 requests / 1,000 results | 1,000 requests / 5,000 results | | **Stats** | `aggregate_organizations` | 100 requests | 1,000 requests | See [GOI MCP overview](/mcp/overview) for connection setup and [Tools](/mcp/tools) for what each tool does. ## GOI API limits API keys are only available on **premium** accounts. Create them under **Profile → API keys** in the [dashboard](https://index.istari.ai/api-keys). Each key is assigned an **API tier** (`tier_1` or `tier_2`) when created. That tier controls quotas on `POST /v2/search`, `POST /v2/fetch`, and `POST /v2/stats`. ### Search and fetch | API tier | Requests / month | Results / month | | -------- | ---------------: | --------------: | | tier\_1 | 1,000 | 5,000 | | tier\_2 | 5,000 | 250,000 | ### Stats (aggregations) | API tier | Requests / month | | -------- | ---------------: | | tier\_1 | 500 | | tier\_2 | 5,000 | Regional vs global **coverage** is enforced via your account or API key scope (region, district, or municipality for Regional plans). See [API reference](/api/goi-reference). ### Fair use limits We have some per-key throttle limits (requests per second) to ensure fair use of our API. | API tier | Approx. steady RPS | Burst | | -------- | -----------------: | ----: | | tier\_1 | 2 | 5 | | tier\_2 | 5 | 10 | ## Upgrading or changing limits * **Free → paid:** see [istari.ai technology / pricing](https://www.istari.ai/en/technology) or email [support@istari.ai](mailto:support@istari.ai). * **Raise API quotas:** analyst upgrade on your commercial plan, or contact support for **tier\_2** assignment. ## Related * [Quickstart](/docs/quickstart): dashboard, API, and MCP paths * [API keys](/goi/api-keys): create and manage keys * [API reference](/api/goi-reference): columns, filters, and error codes * [GOI MCP connect](/mcp/connect): add GOI MCP to an AI client # Quickstart Source: https://docs.istari.ai/docs/quickstart Get from zero to your first GOI result in the GOI dashboard, the API, or an AI agent. ISTARI gives you three ways to work with the **Global Organization Index (GOI)**: a curated dataset of \~20 million active, web-verified organizations across 232 countries. Pick the path that fits how you work. Use the GOI dashboard to search, filter, and export. Query GOI programmatically over HTTP. Connect GOI to Claude, Cursor, or any MCP client. ## Create an account Create an account at [index.istari.ai](https://index.istari.ai). The same login works for the GOI dashboard, the API, and GOI MCP. Explore visually in the [GOI dashboard](/goi/dashboard), or generate an API key to go programmatic.

Use the GOI dashboard

The fastest way to see what GOI can do. No setup required. 1. Sign in at [index.istari.ai](https://index.istari.ai). 2. Describe what you're looking for in the search bar, or switch to [keyword](/goi/keyword-search) or [similarity](/goi/similarity-search) search. 3. Narrow with [location](/goi/location-filters) and [organizational](/goi/organizational-filters) filters. 4. [Export](/goi/export-search-results) the results or save them as a [list](/goi/lists). See the [GOI dashboard guide](/goi/dashboard) for the full walkthrough. ## Use the API In the GOI dashboard, open [API keys](/goi/api-keys) and create a key. Keep it secret; it carries your plan's quota. Send a `POST` to `/v2/search`. The API auto-detects the search mode from your inputs. No mode name needed. ```bash cURL theme={null} curl -X POST https://api.istari.ai/v2/search \ -H "x-api-key: $ISTARI_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "describe": "organizations that manufacture industrial heat pumps", "filters": { "country": ["Germany"] }, "columns": ["domain", "name", "country"], "size": 25 }' ``` ```python Python theme={null} import os, requests resp = requests.post( "https://api.istari.ai/v2/search", headers={"x-api-key": os.environ["ISTARI_API_KEY"]}, json={ "describe": "organizations that manufacture industrial heat pumps", "filters": {"country": ["Germany"]}, "columns": ["domain", "name", "country"], "size": 25, }, ) print(resp.json()["metadata"]["total"], "matches") ``` Responses contain a `data` array of organization rows and a `metadata` object (total hits, mode, pagination cursor). See [Search](/api/goi-search) for every parameter and [Reference](/api/goi-reference) for columns, limits, and errors. ## Use an AI agent GOI MCP is not yet listed in connector directories. Request access, then add it as a custom connector. Sign in at [index.istari.ai](https://index.istari.ai). The same account works for the dashboard, API, and GOI MCP. Submit the [GOI MCP access request](https://index.istari.ai/goi-mcp-access). We email you your **Client ID**, **Secret**, and MCP URL when your account is enabled. Add GOI MCP as a custom connector in Claude, ChatGPT, Cursor, or another MCP client. See [Connect](/mcp/connect) for client-specific steps. See the [GOI MCP overview](/mcp/overview) for the available tools. ## Next steps Keywords, semantic descriptions, similarity, filters, and pagination. Request access, then add GOI MCP as a custom connector in Claude, ChatGPT, Cursor, or any MCP client. # Advanced search filters Source: https://docs.istari.ai/goi/advanced-search-filters Whichever of the [three search methods](/goi/dashboard#three-ways-to-search) you use, you can refine the results with **keyword refinement filters**. These filters sit on top of your main query and are accessed from the **Other Filters** button below the search bar, on the **Keywords** tab. ## Keyword filters On the **Keywords** tab of the Other Filters dialog you can build three separate keyword lists: * **Must Include (Any):** At least one of the listed keywords must appear in an organization's profile. * **Must Include (All):** All listed keywords must appear. * **Must Not Include:** Organizations mentioning these keywords are filtered out. Use this to fine-tune thematic relevance or exclude irrelevant segments. For example, a semantic query for *"automotive interior suppliers"* combined with a *Must Not Include* of *recycling* narrows the results to organizations that do **not** advertise recycling activities. **Keyword filters vs. Keyword Search.** Keyword filters are a *refinement layer*: they apply on top of any search method. [Keyword Search](/goi/keyword-search), on the other hand, is a standalone search method you pick from the search-type dropdown, where keywords are the main query rather than a filter. ## Related filters The **Other Filters** dialog also has an **Organization Specific** tab covering [organization size, type, and NACE code](/goi/organizational-filters). For geographic narrowing, use the separate [Location Filters](/goi/location-filters) button. # API keys Source: https://docs.istari.ai/goi/api-keys Create and manage API keys for programmatic access to ISTARI GOI. If you want to query ISTARI GOI directly from your own scripts, products, or data pipelines, you do so through the **ISTARI API** using a personal **API key**. This page is about creating and managing those keys from inside the platform. For endpoint details, parameters, and request/response formats see the [ISTARI API documentation](/api/api_start_page). To open the API Keys page, click your **profile avatar** in the bottom-left of the sidebar and choose **API Keys** from the dropdown. (This option only appears if your account has API access.) API keys list ## Create an API key 1. Click **Create API Key** in the top-right of the page. 2. Give the key a **name**: pick something that identifies where it will be used (for example, *"Data warehouse ETL"* or *"Marketing automation"*), so you can recognise it later. 3. Optionally set a **monthly quota** to cap how many organizations the key can return in a single billing month. This is a safety guard, once the quota is reached, subsequent requests from that key will fail until the next month or until you raise the limit. 4. Click **Create** to generate the key. Create API key modal **Copy the key immediately.** The full API key value is shown **only once**, right after creation. Copy it to a secure place (e.g. a password manager or your infrastructure's secret store) before closing the dialog. If you lose the value you'll need to create a new key. You can have up to **three active API keys** per account. If you need more, delete or rotate an existing one first. ## Manage existing keys Each row in the API keys table shows: * The **name** you gave the key. * When it was **created** and **last used**. * The **monthly quota** and how much of it has already been consumed this month. For each key you can: * **Edit**: rename the key or adjust its monthly quota. * **Disable**: temporarily stop the key from working without deleting it. * **Delete**: remove the key permanently. Any application using it will immediately start failing. ## Getting started The page includes a **Getting started** card with the API base URL and a ready-to-copy `curl` example so you can test your new key right away. Getting started card For a full list of endpoints, query parameters, and response fields, continue to the [ISTARI API documentation](/api/api_start_page). # GOI Home page Source: https://docs.istari.ai/goi/dashboard Discover the GOI Home page and find your way around. When you first log in to the ISTARI Global Organization Index, you land on the **GOI Home page**: the central hub for searching, exploring, and organising the organizations you care about. ## What you see on the home screen * **Search panel (centre):** where you enter queries to begin discovering organizations. * **New organizations pill (above the search panel):** shows how many organizations have been newly registered in the DACH region today. Click it to open the [New organizations](/goi/new-companies) page. * **Example searches (below the search panel):** ready-made queries you can click to try out the search. ## Sidebar (left) The vertical sidebar gives you fast access to your work in GOI: * **New search** (blue button): return to the search panel and start a fresh query. * **Home**: also returns you to the search panel. * **Lists**: open your saved [Lists](/goi/lists) of organizations. * **Saved Searches**: open your [Saved Searches](/goi/saved-searches). At the bottom of the sidebar you'll find: * The **help menu** (question-mark icon). See the [Help Section](/goi/help-section) for what's inside. * Your **profile avatar**. Click it to open your account dropdown: see below. * If you have credit-based features, your **credits balance** is displayed under the avatar. Click the number to open **Subscription and Billing**. ## Profile dropdown Clicking your avatar at the bottom-left opens a dropdown showing your name, email, and tier. From here you can: * **Manage Account**: open your user profile to change name, password, etc. * **API Keys**: open the [API Keys](/goi/api-keys) page (only shown if your account has API access). * **Subscription and Billing**: track credits, invoices, and transactions (only shown if your account has billing). * **Manage Organization**: manage your organization's members and settings (only shown if you're part of an organization). * **Sign out**: end your session. ## Easy mode vs. Advanced mode The search panel has a toggle in the top-right between two ways of searching: * **Easy mode**: describe what you are looking for in a single sentence and let ISTARI's AI agent interpret it. The agent picks the right search method (see below), fills in any filters (location, size, industry), and runs the query for you. Best if you're not sure which search method fits. * **Advanced mode**: you pick the search method yourself and configure filters manually. Best when you want precise control or know exactly how you want to query. ## Three ways to search In Advanced mode, the search panel has a dropdown that lets you pick between three distinct search methods. Each is suited to a different starting point: | Search method | When to use it | Page | | -------------------------- | ------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------- | | **Describe organizations** | You have a market description or idea in your head but no specific organization or keywords. Natural-language semantic search. | [Semantic Search](/goi/semantic-search) | | **Use a similar website** | You know a reference organization and want to find others like it. | [Similarity Search](/goi/similarity-search) | | **Use keywords** | You want exact term matching with full control over which words define a hit. | [Keyword Search](/goi/keyword-search) | All three methods can be combined with [Location Filters](/goi/location-filters), [Organizational Filters](/goi/organizational-filters), and [keyword refinement filters](/goi/advanced-search-filters) to narrow results further. In Easy mode you don't pick the method, the agent does, but the same filter system is available. # Export search results Source: https://docs.istari.ai/goi/export-search-results You can export your research results, for all organizations in the result set or a subset that you selected, by clicking the **Export** button above the results table. In the export dialog you can: * **Choose a format:** CSV or Excel (`.xlsx`). * **Pick a scope:** export *all* organizations in the current results, or only the *rows you've ticked*. * **Select columns:** choose exactly which fields end up in the file. Export is capped at **5,000 organizations** per file. If your result set is larger, narrow it down with filters first or export in chunks. # Overview Source: https://docs.istari.ai/goi/goi_start_page The Global Organization Index (GOI) is our curated, organization-level dataset containing **approximately 20 million active organizations** across **232 countries and territories**. It serves as the canonical source for firmographic data at ISTARI, covering organization identity, location, industry classification, size, and more. ## Data pipeline & methodology GOI is built through a multi-step validation pipeline designed to prioritize quality over volume: 1. **Registry Collection**: We systematically query national registers worldwide, including organization, commercial, and association registers. This primary data source is then enriched with additional open data sources, giving us an initial pool of approximately **400 million organizations**. 2. **Domain Attribution**: We determine which of these organizations can be attributed to a clearly identifiable web domain. This results in roughly **10%** of the total, about **40 million organizations**. The remainder are either no longer active, were never truly operational (e.g., pure holding structures), or simply never maintained a web presence. 3. **Activity Verification**: We verify which of those 40 million domains are still actively operated. This validation step brings the dataset down to approximately **20 million organizations** that are demonstrably active. This process ensures that every record in GOI is web domain-verified and confirmed active. ### Quality vs. volume Our final dataset is smaller than comparable, traditional databases. However, in contrast, our dataset contains exclusively verified and active organizations, no inactive records or dormant entities. The key differentiator is not size, but data timliness, operational relevance, and verification depth. ### Data sources | Source Type | Role | Examples | | ------------------ | -------------- | ------------------------------------------------------------------------------ | | National registers | Primary source | Company registers, commercial registers, association registers | | Open data sources | Enrichment | Government databases, administrative statistics data, structured open datasets | | Web presence | Verification | Organisation websites, active domain validation | ## Schema ### Key definitions * **NACE Code**: The EU's standard statistical classification of economic activities. Used as GOI's primary industry taxonomy. [Learn more](https://ec.europa.eu/eurostat/web/nace) * **Organization Type**: Categorized as Company, Startup, Academic, Public, or Other based on registry data and web content analysis. * **Organization Size**: Derived from employee and revenue signals, bucketed into Micro, Small, Medium-sized, and Large enterprise per EU SME definitions. ### Core fields | Column | Type | Description | | ------------------------------------ | ------- | ---------------------------------------- | | `name` | STRING | Organization name | | `domain` | STRING | Organisation website domain | | `summary` | STRING | AI-generated summary of the organization | | `keywords` | LIST | Descriptive keywords | | `employee_class` | STRING | Employee count bracket | | `country` | STRING | Country name | | `country_code` | STRING | ISO country code | | `state` / `state_code` | STRING | State or province | | `region` / `region_code` | STRING | Region | | `district` / `district_code` | STRING | District | | `municipality` / `municipality_code` | STRING | Municipality | | `address` | STRING | Full address | | `latitude` | FLOAT64 | Latitude coordinate | | `longitude` | FLOAT64 | Longitude coordinate | ### Classification fields | Column | Type | Description | | ---------------------------------------- | ------ | ---------------------------------------------------------------- | | `nace_code` | STRING | NACE industry classification code | | `nace_reasoning` (optional) | STRING | Reasoning behind the assigned NACE code | | `organization_type` | STRING | Type of organization (Company, Public, Academic, Startup, Other) | | `organization_type_reasoning` (optional) | STRING | Reasoning behind the assigned type | | `organization_size` | STRING | Size bracket (Micro, Small, Medium-sized, Large enterprise) | | `organization_size_reasoning` (optional) | STRING | Reasoning behind the assigned size | **Note:** Reasoning fields are not published in the standard dataset. ## Coverage statistics ### At a glance | Metric | Value | | ----------------------- | ------------- | | Total organizations | \~20,000,000 | | Countries & territories | 232 | | Industry sectors (NACE) | 22 | | Last updated | February 2026 | ### Top 20 countries by volume | Country | Organizations | | -------------- | ------------- | | United States | 3,626,794 | | Germany | 1,828,181 | | United Kingdom | 1,013,026 | | Netherlands | 778,416 | | Italy | 625,754 | | Australia | 601,797 | | France | 571,895 | | Japan | 461,640 | | Brazil | 421,034 | | Canada | 366,258 | | Poland | 339,745 | | Czechia | 268,404 | | Spain | 250,467 | | Belgium | 233,349 | | Switzerland | 219,274 | | Sweden | 199,470 | | India | 186,750 | | Russia | 182,112 | | Austria | 158,644 | | Denmark | 140,840 | ### Organization size distribution | Size | Employee Range | Count | Share | | ---------------- | -------------- | --------- | ------ | | Micro | 0–9 | 7,341,838 | 42.78% | | Small | 10–49 | 7,494,409 | 43.67% | | Medium-sized | 50–249 | 1,501,655 | 8.75% | | Large enterprise | 250+ | 824,126 | 4.80% | ### Top 10 industries (NACE) | NACE Code | Industry | Count | Share | | --------- | ----------------------------------------------- | --------- | ------ | | N | Professional, scientific & technical activities | 3,093,879 | 18.03% | | G | Wholesale & retail trade | 2,240,191 | 13.05% | | C | Manufacturing | 2,006,435 | 11.69% | | R | Human health & social work | 1,440,340 | 8.39% | | K | Telecom, IT & computing | 1,269,131 | 7.39% | | F | Construction | 1,173,226 | 6.84% | | I | Accommodation & food service | 1,126,594 | 6.56% | | S | Arts, sports & recreation | 1,101,592 | 6.42% | | Q | Education | 584,430 | 3.41% | | J | Publishing, broadcasting & content | 554,985 | 3.23% | ### Notes on geographic data Approximately 2.7 million organizations in the dataset do not have a standardized administrative region. These organizations are **intentionally retained** in the dataset. While they cannot be filtered by geographic region, they remain valuable for non-geographic analyses (e.g., industry, size, domain-level insights). When an organization appears multiple times (e.g., the same domain linked to different addresses), we deduplicate by domain and retain the record with the highest employee count, treating it as the organization's headquarters. ### Delivery * **Formats:** CSV, Excel, API, web app, parquet or any other requested file format for big data. * **Delivery type:** One-time dataset delivery or ongoing updates (discuss with the team) * **Filters available:** By country, industry (NACE), size, organization type, keyword filter, similarity filter, or any combination # Help Source: https://docs.istari.ai/goi/help-section In the lower-left corner of GOI, just above your profile avatar, you'll find the **question-mark icon** that opens the help menu. The menu contains: 1. **Take Tour:** Launches an interactive walk-through that highlights the main parts of the platform, the search panel, results table, and key actions. If you're not on the home page when you start the tour, GOI will offer to take you there first. 2. **Report a Bug:** Opens our public feedback board so you can tell our dev team about an issue or unexpected behavior. We use the same board for all incoming reports. 3. **Changelog:** Opens the changelog where you can see recent feature releases and bug fixes from the team. 4. **Documentation:** Opens this documentation site so you can look up how a particular feature works. 5. **Privacy Policy:** Opens the istari.ai privacy policy in a new tab. 6. **Terms of Service:** Opens the istari.ai terms of service in a new tab. # Keyword search Source: https://docs.istari.ai/goi/keyword-search Keyword Search is one of the [three ways to search](/goi/dashboard#three-ways-to-search) in GOI. Use this method when you want **exact term matching** over organization profiles, with full control over which words define a hit, no semantic interpretation, no reference organization. ## How it works * Switch to **Advanced** mode and pick **Use keywords** from the search-type dropdown in the search panel. * Type a keyword into the search bar and press **Enter**. The keyword becomes a pill. * Repeat for as many keywords as you need: each press of **Enter** adds another pill. Remove a pill with its **×** button, or press **Backspace** in the empty input to remove the last one. * Run the search. GOI performs a full-text (BM25) search over organization profiles and returns matches, ranked by how well the keywords match each profile. Keyword Search is ideal when: * You know the exact terminology your target organizations use. * Semantic paraphrasing is a risk (e.g. niche technical terms, brand names, standards). * You want to sanity-check a semantic search by comparing against a strict keyword-only variant. ## Combine with filters Keyword Search can be combined with any of the usual filters to narrow the scope further: * [**Location Filters**](/goi/location-filters): restrict to a country, state, district, or city. * [**Organizational Filters**](/goi/organizational-filters): restrict by organization size, type, or NACE sector. * [**Keyword refinement filters**](/goi/advanced-search-filters): layered *Must Include (Any / All)* and *Must Not Include* filters on top of the main keyword query, for even more precise control. ## See also * [Semantic Search](/goi/semantic-search): natural-language search when you don't have exact keywords. * [Similarity Search](/goi/similarity-search): find organizations similar to a reference website. # Lists Source: https://docs.istari.ai/goi/lists Group relevant organizations into a list for further analysis. A **List** is a saved collection of organizations you've curated from your search results, think of it as a shortlist or a working set you can come back to, export, or analyse with AI. ## Create a list From any results table, tick the checkboxes next to the organizations you want to keep. Then use the toolbar to either: * **Create a new list**: give the list a name and save it. * **Add to existing list**: append the selected organizations to a list you already have. ## Manage your lists All of your lists are accessible from the **Lists** tab in the sidebar. Each card shows the list name, how many domains it contains, and when it was created. From here you can: * **View List**: open the list detail page (see below). * **View Search**: re-run the original search that seeded the list, so you can discover more organizations to add. * **Delete**: remove a list permanently (this can't be undone). Use the **Newest First / Oldest First** toggle to re-sort the grid. ## List detail page Opening a list shows every organization you've added, along with: * A header with the **list name** and creation date, plus a back arrow to return to the Lists overview. * A **search-source dropdown** above the table. If your list was built from multiple searches, this lets you switch between **All Searches** (every organization in the list) and any individual originating search. Each option shows the number of domains it contains. When you pick a specific search, a **View Search** button appears so you can re-run it and discover more candidates to add. * The full-featured table: same column management, hide-duplicates, export and other tools as on the regular [Search Results](/goi/search-results) page. # Location filters Source: https://docs.istari.ai/goi/location-filters After defining your search criteria, you can narrow the scope geographically using our **location filters**. ### **Available levels:** * **Country** (e.g., Germany) * **State/Region** (e.g., *Baden-Württemberg*) * **District** (e.g., *Rhein-Neckar-Kreis*) * **City** (e.g., Mannheim) Check out the available [administrative units](tools/administrative-units.md) and our [global coverage by country](tools/country-coverage.md). This enables targeted exploration in specific territories, perfect for regional strategy, compliance research, or cluster mapping and industrial network activity. # Logging in and out Source: https://docs.istari.ai/goi/login-logout ### Log in with your Google account You can log in quickly and securely using your existing Google account. Click the **Sign in with Google** button on the login page and select your account, Google handles authentication for you. ### Create a new account with your email To create a new account, click **Create an account**, enter your email address, and choose a secure password. After submitting the form you'll receive a confirmation email to verify your address. Once verified, you can log in and start using the platform. ### Reset password If you forget your password, click **Forgot password?** on the login page. Enter your registered email address and we'll send you instructions to reset your password. Follow the link in the email to choose a new password and regain access to your account. ### Log out Click your **profile icon** in the bottom-left corner and choose **Sign out** to end your session. To use the platform again, simply log in once more. # New organizations Source: https://docs.istari.ai/goi/new-companies Browse newly registered organizations across the DACH region. The **New organizations** page (also called *New organization registrations*) gives you a continuously updated view of organizations that have just appeared in public registers across the DACH region, **Germany**, **Austria**, and **Switzerland**. It's the fastest way to spot market entrants, new competitors, or fresh prospects right after they're formed. To open it, click the **"X new companies recently added in the DACH region"** pill that sits above the search panel on the home page. New organization registrations page ## Filters Three controls at the top of the page shape the data you see: * **Region scope (left):** Toggle between **All DACH region** and any specific office/region you have access to. The scope you pick drives both the chart and the table below. * **Country multi-select (right):** Narrow the view to Germany, Austria, Switzerland, or any combination of them. Defaults to all three. * **Registration dates (above the table):** A calendar range picker that limits the table to organizations whose *registration date* falls within the chosen window. By default, the table opens on the latest available date so you immediately see what's brand new. Click **Reset to latest** to jump back to today after exploring an earlier window. ## New organizations added over time The line chart plots how many new organizations have been registered each day, with a separate line per country (Germany, Austria, Switzerland). Hover over any point to see the exact count for that day. Use this chart to: * Spot registration trends or anomalies. * Compare activity across countries. * Pick a day or period worth drilling into with the table below. ## Profiles of organizations recently added Below the chart, a paginated table shows the actual newly registered organizations. The summary line above the table (for example, *"Showing profiles for 72 of 863 verified active entities added in the DACH region"*) indicates: * **Total processed**: organizations detected in the register for the selected scope and date range. * **Profiles built**: of those, how many have a verified active web domain so we can show a full profile. **Why the numbers differ.** Not every registered organization gets a profile immediately. Some entities don't yet have a detectable domain. We periodically recheck and update these records as more domains become available. Typical columns include **Name**, **Domain**, **Summary**, **Country**, **Organization Size**, **Organization Type**, **NACE code**, **Registration date**, **Register court**, and **Address**. Click a row to open the organization's [full profile](/goi/search-results#company-profile), just like in regular search results. You can rearrange columns, hide duplicates, and use the standard table tools from there. # Organizational filters Source: https://docs.istari.ai/goi/organizational-filters These filters help you control **who** appears in your results, based on structural attributes of an organization. They live under the **Other Filters** button on the search bar, on the **Organization Specific** tab. * **Organization Size:** Filter by number of employees, using EU SME definitions: * Micro (0–9 employees) * Small (10–49) * Medium-sized (50–249) * Large enterprise (250+) * **Organization Type:** Narrow results to **Company**, **Startup**, **Public**, **Academic**, or **Other**. * **NACE Code:** The EU's statistical classification of economic activities. Pick one or more sectors (NACE A – NACE U) to restrict results to specific industries. [Learn more about NACE](https://ec.europa.eu/eurostat/web/nace). Selections within a single filter are combined with **OR** (e.g. pick Micro *and* Small to see both). Selections across filters are combined with **AND** (e.g. Micro + NACE C returns small manufacturers only). Use the **Clear** link next to any filter to reset it, or **Clear All** at the top to reset every Organization Specific filter at once. # Saved searches Source: https://docs.istari.ai/goi/saved-searches Save a search configuration and re-run it later. A **Saved Search** captures everything about a query, the search type, your description or reference domain, all keyword filters, locations, and organization-specific filters, so you can re-run it later with one click. Use it for recurring market scans, ongoing prospecting, or anything you'd otherwise re-type by hand. ## Save a search From any results page, click **Save Search** in the top-right corner. Give the search a descriptive name (e.g. *"German aluminium recyclers"*) and confirm. The search appears immediately in the **Saved Searches** tab in the sidebar. ## Manage your saved searches The **Saved Searches** page lists every search you've saved as a card. Each card shows: * The **search name** you chose. * A **result count** badge with the number of matches the search returned when you last ran it. * A **Domain search** badge if the search was built around a reference website. * The keywords and location filters applied, shown as a short summary. * The date you saved the search. Saved searches grid From each card you can: * **View Search**: re-run the search and land on a fresh results page. * **Delete**: remove the saved search permanently. This cannot be undone. Use the **Newest First / Oldest First** toggle at the top of the grid to reorder the cards. ## Starting a new search Click **New Search** in the top-right of the Saved Searches page (or the same button in the sidebar) to return to the search panel and build another query from scratch. # Search results Source: https://docs.istari.ai/goi/search-results Once your search completes, applying your semantic, similarity, or keyword query together with any filters, you'll land on the **Search Results** page showing up to **100 matching organizations**. If you aren't satisfied with what you see, you can adjust your query directly from the compact search bar at the top of the page. You can also save the current search (**Save Search** button, top right) and reuse it later from the **Saved Searches** tab in the sidebar. ## The results table By default, the table shows the following columns: * **Name**: the organization's name as it appears on its website. * **Summary**: a short AI-generated description of what the organization does. * **Country**: where the organization is registered. * **Organization Size**: Employee classes which are treated as a proxy for organizational size. * **Summary keywords**: the most relevant keywords for the organization. Click **Show all** to expand the full list. A lot more information is available beyond the defaults. Click **Add columns** to open the column manager, where you can: * Toggle additional columns on or off (address, NACE code, registration date, and more). * Reorder columns by dragging them. * Remember to click **Apply changes** to save your layout. Use the **arrows** at the edges of the table to scroll through columns that don't fit on screen. ## Map view Above the table you'll find a **Show Map View** button. Click it to switch from the table to an interactive map that plots each result at its registered location. Click **Show Table View** to switch back. The map respects your current search and filters, it only shows the organizations that are in your current results. ## Hiding duplicates Some organizations are reachable through several domain aliases (e.g. `example.de` and `example.com` pointing to the same organization). Toggle **Hide duplicates** to collapse these into a single row so each organization only shows up once. The toggle sits next to the **Show Map View** button when you're in table view. ## Organization profile Click **View profile** on any row to open a side panel with the full profile for that organization. The panel groups everything we know, name, summary, addresses, contact info, keywords, classification, coordinates, and more, into one scrollable view. From here you can visit the organization's website with the external-link button. ## Next steps From the results table you can also: * **[Export](/goi/export-search-results)** the full list or a selection as CSV or Excel. * **[Create a list](/goi/lists)** from selected organizations and return to them later. # Scoring and relevance Source: https://docs.istari.ai/goi/search-scoring How GOI ranks your search results and decides what counts as a relevant match. Every GOI search returns organizations in order of **relevance**: the best matches first. This page explains, how that ordering is decided across the [three search methods](/goi/dashboard#three-ways-to-search), and what the relevance score next to each result actually means. ## The relevance score Most searches attach a **relevance score** to each result. It runs from **0 to 1** (often shown as a percentage), where a higher number means a closer match to what you asked for. The score value of each organization can be seen in the respective profiles of the organizations. We use it to sort the table, so the organization at the top is the one we're most confident about. Relevance score shown on an organization profile How that score is calculated depends on which search method you used. ## How each method scores ### Semantic search When you [describe what you're looking for](/goi/semantic-search), we don't match your words literally. Instead, we turn both your description **and** every organization's profile into a numerical "meaning fingerprint" (an embedding), then measure how close each organization's fingerprint sits to yours. * The closer the meaning, the higher the score. * This is why a search for *"recycled aluminium producers"* can surface an organization that never uses those exact words but clearly does that work. * Results are ranked from most to least semantically similar. ### Similarity search [Similarity search](/goi/similarity-search) works the same way, but instead of starting from a description, we start from a **reference organization**. We build a rich profile of that organization from its public footprint, turn it into a meaning fingerprint, and find the organizations whose fingerprints sit closest to it. If you add **prioritize** or **avoid** keywords to steer the search, we nudge that fingerprint toward the terms you want and away from the ones you don't *before* scoring, so the ranking reflects your emphasis, not just the raw reference organization. ### Keyword search [Keyword search](/goi/keyword-search) is the one method that matches your terms **literally**. It scores each organization on how well your keywords match its profile text, using a well-established text-ranking approach (BM25). In plain terms, an organization ranks higher when: * Your keywords appear **more often** in its profile, and * Those keywords are **rarer** across the database overall (a distinctive term counts for more than a common one). Because this is exact-term matching, there's no "meaning" interpretation, a profile either contains your words or it doesn't. ## When you combine methods If you mix a description with keywords (a **hybrid** search), we run both the meaning-based search and the keyword search, then blend the two rankings so an organization that does well on both rises to the top. A **balance** control lets you lean more toward meaning or more toward exact keywords depending on what matters for your query. ## How we decide what's "relevant enough" Ranking puts the best matches first, but we also draw a line so the results stay useful. * For meaning-based searches (semantic and similarity), GOI applies a **relevance floor**. Organizations scoring below roughly **0.35** are left out, so you don't have to scroll past weak, loosely-related matches. Raising this floor gives you fewer but tighter results; lowering it casts a wider net. * Keyword searches return every profile that genuinely contains your terms, ranked by match quality. * Any [filters](/goi/advanced-search-filters) you apply: location, organization size, sector, must-include / must-exclude keywords, are applied **alongside** scoring. Filters decide *whether* an organization qualifies at all; the relevance score then decides the *order* of those that do. As a rough guide for meaning-based scores: | Score | What it usually means | | --------- | ------------------------------------------------ | | 0.35+ | Relevant: the default floor for general searches | | 0.55–0.65 | Closely related: good for cutting noise | | 0.8+ | Near-identical matches only | ## Why two organizations can swap places Scores are about *closeness*, not absolute truth, so small differences near the top are normal. The further down the list you go, the looser the connection to your query. If the top results look off, it's usually faster to **refine the query or adjust your filters** than to scroll, a sharper description or an extra must-include keyword reshapes the ranking immediately. ## See also * [Semantic search](/goi/semantic-search): meaning-based search from a description. * [Similarity search](/goi/similarity-search): meaning-based search from a reference organization. * [Keyword search](/goi/keyword-search): exact-term matching with BM25 ranking. * [Search results](/goi/search-results): reading and working with the results table. # Semantic search Source: https://docs.istari.ai/goi/semantic-search Semantic search is one of the [three ways to search](/goi/dashboard#three-ways-to-search) in GOI. It is ideal when you have a **general description** or **market search idea** in mind rather than a specific reference organization or exact keywords. ## How it works * Type a natural-language query (in English or German) into the search panel. * In **Easy** mode, just describe what you are looking for in plain language: including location, size, and industry hints if you want to. ISTARI's AI agent interprets your description and fills in the search form for you. * In **Advanced** mode, choose **Describe organizations** from the search-type dropdown and enter only the description here. Location, keyword, and organization filters go in the filter buttons below the search bar. * Our AI-enhanced backend transforms the query using semantic models and returns the organizations that most closely align with your criteria. ## Example queries * *"Search for organizations that manufacture and supply automotive interior components."* * *"Let's find manufacturers of flat-rolled aluminium focused on recycling and circular economy."* Semantic search is flexible and powerful, especially for **exploratory research** where the right keywords aren't obvious yet. ## See also * [Similarity Search](/goi/similarity-search): when you know a reference organization and want to find similar ones. * [Keyword Search](/goi/keyword-search): when you want exact term matching with no semantic interpretation. # Similarity search Source: https://docs.istari.ai/goi/similarity-search Similarity Search is one of the [three ways to search](/goi/dashboard#three-ways-to-search) in GOI. Use this method when you already know a **reference organization** and want to find similar organizations. ## How it works * Switch the search type to **Use a similar website** (in Advanced mode). * Enter an organization's website, e.g. `bosch.de` or `vibracoustic.com`. * ISTARI automatically analyses the organization's public digital footprint and generates a feature-rich organization summary. * That summary is then used to scan our master database and return similar organizations. This method is ideal for **competitive benchmarking**, **supplier identification**, or **peer group analysis**. ## Refining a similarity search Once you've added a reference domain, you can steer the result set with up to **three "prioritize"** and **three "avoid"** keywords: * **Add keywords to prioritize**: favour organizations whose profiles mention these terms. Useful when the reference organization has multiple business lines and you care about only one of them. * **Add keywords to avoid**: downweight organizations that mention these terms. Useful to exclude adjacent industries or irrelevant segments. Click the **+** icon next to the domain chip to open the keyword menu, type a keyword and press **Enter** to add it as a pill. Green pills prioritize; red pills avoid. Remove any pill with its **×** button. You can combine similarity search with **Location Filters** and **Other Filters** (keywords, organization size, type, and NACE) for very targeted peer group discovery. ## See also * [Semantic Search](/goi/semantic-search): when you have a market description but no specific reference organization. * [Keyword Search](/goi/keyword-search): when you want exact term matching with no semantic interpretation. # Overview Source: https://docs.istari.ai/index Real-time organization intelligence on 20M active and verified organizations via the GOI dashboard, API, or GOI MCP.

ISTARI.AI

Organization intelligence,
built on the live web.

Search, filter, and analyze 20 million active and verified organizations across 232 countries through the GOI dashboard, an API, or any MCP-compatible AI agent.

Quickstart

Sign in at [index.istari.ai](https://index.istari.ai), generate an API key, and run your first GOI search.

Try the API

A single `POST /v2/search` call discovers organizations by keyword, natural-language description, similarity to a known domain, or structured filters. ```bash cURL theme={null} curl -X POST https://api.istari.ai/v2/search \ -H "x-api-key: $ISTARI_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "describe": "B2B organizations that manufacture industrial heat pumps", "filters": { "country": ["Germany"] }, "columns": ["domain", "name", "country"], "size": 50 }' ``` ```python Python theme={null} import os, requests resp = requests.post( "https://api.istari.ai/v2/search", headers={"x-api-key": os.environ["ISTARI_API_KEY"]}, json={ "describe": "B2B organizations that manufacture industrial heat pumps", "filters": {"country": ["Germany"]}, "columns": ["domain", "name", "country"], "size": 50, }, ) for row in resp.json()["data"]: print(row["domain"], "-", row["name"]) ```

Explore the docs

Search, filter, save, and export organizations in the no-code Global Organization Index. Programmatic search, bulk lookup, and aggregations over GOI via the API. Expose GOI search and analytics to Claude, ChatGPT, Cursor, and other MCP clients. Request access and connect with the credentials we email you. Ready-made GOI workflows with fixed query templates for suppliers, lookalikes, market sizing, and more. Peer-reviewed indicators on AI adoption, sustainability, innovation, and more. See how many verified organizations GOI holds per country and type.
# Agent skill Source: https://docs.istari.ai/mcp/agent-skill A drop-in skill that teaches Claude (or any agent) to query GOI the disciplined way — so it returns clean results without you spelling out parameters. The GOI MCP connector exposes powerful tools, but raw natural-language prompts (`search "macbook dubai"`) produce noisy results. This **skill** encodes the [cookbook recipes](/cookbooks/overview) as standing instructions, so the agent applies the right parameters automatically. ## How to use it * **Claude Code / Claude Desktop:** save the block below as `SKILL.md` in your skills directory (or paste it into your project's `CLAUDE.md`). * **Any agent / system prompt:** paste it into the system prompt alongside the GOI connector. Once installed, asking *"find me corrugated cardboard makers in Germany"* makes the agent issue a disciplined `search_organizations` call instead of a bare query. ## SKILL.md ```md theme={null} --- name: goi-query description: Query the ISTARI GOI connector for company intelligence. Use whenever the user wants to find, list, count, or compare real companies/organizations — suppliers, competitors, niche/deep-tech makers, market sizes, lookalikes. --- # Querying GOI well GOI covers ~20M web-verified organizations. Quality comes from parameters, not the search string. Pick the pattern that matches intent: ## 1. Find suppliers of a product → search_organizations - query: "{product} supplier manufacturer distributor wholesale vendor" - nace_code: ["NACE C: Manufacturing", "NACE G: Wholesale and retail trade"] ← does the real filtering - keywords_must_any: ["supplier","distributor","wholesale","manufacturer","reseller","vendor","trading"] - keywords_must_not: ["repair","rental","service center","maintenance","recruitment"] - country: [] · dedup: true · size: 12 ## 2. Find companies that do one niche/deep-tech thing → search_organizations - query: rich description of the technology/product - keywords_must_all: [""] ← the defining word; this removes drift - use keywords_must_any for spelling variants (["electrolyzer","electrolyser"]) - keywords_must_not: ["consulting","recruitment","marketing agency"] - nace_code: ["NACE C: Manufacturing"] only if you want makers - Anchor on the technology, NOT organization_type=Startup (startup typing is sparse). ## 3. "Companies like X" / competitors / targets → find_similar_organizations - domains: [<1-3 reference domains>] · exclude_domains: [] - min_score: 0.6 (raise toward 0.65 if loose) · optional country/nace filters ## 4. "How many" / distribution / market size → aggregate_organizations - structured filters only (country, nace_code, organization_size, region…) + group_by - It IGNORES keywords_*. Report the result as a sector+geography denominator, never a product-specific count. # Hard rules (these cause silent failures) - Locations: resolve_location needs NATIVE names ("Bayern", not "Bavaria"). Resolve first, then use the returned filter. - keywords_must_not cannot run alone — always pair with keywords_must_any/all. - In keyword/hybrid mode the `Total` field is unreliable (often 0). Count returned rows. - Do NOT set min_score in hybrid (keywords) mode — it collapses results. - country is activity-based (where a firm operates), not legal HQ. Caveat the user if HQ is load-bearing. - Always dedup: true. Hydrate full profiles with get_organization_details(domains=[...]). ``` ## Tested Following these instructions, the validated cookbooks held across quantum computing, solid-state batteries, corrugated cardboard, surgical gloves, process-mining lookalikes, and multi-country market sizing — see [Cookbooks](/cookbooks/overview) for the evidence. # Connect Source: https://docs.istari.ai/mcp/connect Connect GOI MCP to Claude, ChatGPT, Cursor, and other MCP clients. GOI MCP uses your ISTARI account at [index.istari.ai](https://index.istari.ai). The same account works for the GOI dashboard, the GOI API, and GOI MCP. GOI MCP is not yet listed in connector directories for Claude or ChatGPT. Request access, then add it manually as a **custom connector** using the credentials we email you. Once store approval is complete, we will update this page with one-click install instructions. ## Request access 1. Sign up or sign in at [index.istari.ai](https://index.istari.ai). 2. Submit the [GOI MCP access request](https://index.istari.ai/goi-mcp-access). 3. After we enable your account, you receive an email titled **Your GOI MCP credentials** with everything you need to connect: | Field | Example | Notes | | ------------- | ------------------------------- | ------------------------------------------------------------ | | **Name** | `istari-goi` | Use this as the server or connector name in your MCP client. | | **MCP URL** | `https://mcp.goi.istari.ai/mcp` | The remote MCP endpoint. | | **Client ID** | *(in your email)* | OAuth client ID for your account. | | **Secret** | *(in your email)* | OAuth client secret. Treat it like a password. | Keep your **Client ID** and **Secret** private. Do not commit them to git or share them in chat logs. Use environment variables or your client's secure credential storage where supported. ## Add as a custom connector Use the **Name**, **MCP URL**, **Client ID**, and **Secret** from your email in the steps below. When a client asks you to sign in, use the same `index.istari.ai` account you used to request access. ### Claude #### Claude on the web (claude.ai) 1. Go to **Settings → Connectors** on [claude.ai](https://claude.ai). Team and Enterprise admins can add org-wide connectors under **Admin settings → Connectors**. 2. Click **Add custom connector**. 3. Enter the **MCP URL** from your email: `https://mcp.goi.istari.ai/mcp`. 4. Under **Advanced settings**, enter your **Client ID** and **Secret** from the email. 5. Click **Add**, then sign in with your `index.istari.ai` account when prompted. #### Claude Code From a terminal: ```bash theme={null} claude mcp add --transport http \ --client-id YOUR_CLIENT_ID \ --client-secret \ istari-goi https://mcp.goi.istari.ai/mcp ``` Replace `YOUR_CLIENT_ID` with the **Client ID** from your email. The `--client-secret` flag prompts for your **Secret** with masked input. Alternatively, add via JSON: ```bash theme={null} claude mcp add-json istari-goi \ '{"type":"http","url":"https://mcp.goi.istari.ai/mcp","oauth":{"clientId":"YOUR_CLIENT_ID","callbackPort":8080}}' \ --client-secret ``` Run `/mcp` inside Claude Code to confirm the server is connected and complete OAuth if prompted. ### ChatGPT ChatGPT connects to remote MCP servers over HTTPS with OAuth. Custom connectors require **Developer mode**, available on ChatGPT Pro, Team, Enterprise, and Edu plans. 1. Click your avatar → **Settings → Connectors**. 2. Under **Advanced**, turn on **Developer mode** and accept the warning. 3. Click **Add custom connector**. 4. Enter a name (use **istari-goi** or **ISTARI GOI** from your email), an optional description, and the **MCP URL**: `https://mcp.goi.istari.ai/mcp`. 5. Set **Authentication** to **OAuth**. 6. If the form exposes OAuth client fields, enter your **Client ID** and **Secret** from the email. 7. Check **I trust this application**, then click **Create**. 8. Sign in with your `index.istari.ai` account when ChatGPT redirects you through OAuth. In a chat, enable the connector from the **Tools** menu before asking the agent to search organizations. ### Cursor #### Cursor (IDE) For local Agent and Chat sessions: 1. Open **Cursor Settings** (Cmd + Shift + J on Mac, Ctrl + Shift + J on Windows/Linux) → **Tools & MCP**. 2. Click **Add new MCP server**, or add an entry to `~/.cursor/mcp.json` (global) or `.cursor/mcp.json` (project): ```json theme={null} { "mcpServers": { "istari-goi": { "url": "https://mcp.goi.istari.ai/mcp", "auth": { "CLIENT_ID": "YOUR_CLIENT_ID", "CLIENT_SECRET": "YOUR_CLIENT_SECRET" } } } } ``` Replace `YOUR_CLIENT_ID` and `YOUR_CLIENT_SECRET` with the values from your email. Prefer environment variables instead of hardcoding secrets: ```json theme={null} { "mcpServers": { "istari-goi": { "url": "https://mcp.goi.istari.ai/mcp", "auth": { "CLIENT_ID": "${env:GOI_MCP_CLIENT_ID}", "CLIENT_SECRET": "${env:GOI_MCP_CLIENT_SECRET}" } } } } ``` 3. Restart Cursor if prompted, then complete OAuth when asked to sign in. #### Cursor Cloud Agents Cloud Agents do **not** read your local `~/.cursor/mcp.json`. Configure GOI MCP in the Cloud Agents dashboard instead. 1. Open [cursor.com/agents](https://cursor.com/agents). 2. Open the **MCP** dropdown and add a custom **HTTP** server. 3. Enter the **MCP URL**: `https://mcp.goi.istari.ai/mcp`. 4. Enter your **Client ID** and **Secret** from the email if the form provides OAuth fields. 5. Enable the server for your session and complete OAuth when prompted. On Team plans, admins can configure shared MCP servers under **Settings → Integrations & MCP** in the [Cursor dashboard](https://cursor.com/dashboard). OAuth is per user, including for team-shared servers. Cloud Agents support HTTP (recommended) and stdio transport. SSE and `mcp-remote` are not supported. ### Other MCP clients Any client that supports remote MCP over HTTP with OAuth can connect using the **MCP URL**, **Client ID**, and **Secret** from your email. After connecting, verify access by asking the agent to run a simple `search_organizations` query or check the GOI MCP health endpoint described in the [overview](/mcp/overview). ## Verify the connection Ask the agent to search for organizations or call `search_organizations` with a simple query. A successful connection returns GOI results scoped to your account plan. ## Plan access New accounts start on the **Standard** plan. See [Standard plan quotas](/mcp/overview#standard-plan-quotas) on the overview page for monthly limits. For higher quotas, see [GOI access plans](https://www.istari.ai/en/technology) on the ISTARI technology page. ## Troubleshooting * **`Monthly request quota exceeded`**: quotas reset on the first of the month (UTC). To raise limits, see [GOI access plans](https://www.istari.ai/en/technology). * **Authentication errors**: confirm you are signed in at [index.istari.ai](https://index.istari.ai/) with the same account used to request access, and that your **Client ID** and **Secret** match the values in your credentials email. * **No credentials email**: confirm you submitted the [access request](https://index.istari.ai/goi-mcp-access) with the same email you use at `index.istari.ai`. Contact [support@istari.ai](mailto:support@istari.ai) if it has been more than a few business days. * **ChatGPT cannot connect**: confirm Developer mode is on, the URL ends with `/mcp`, and OAuth is selected as the authentication method. * **Cloud Agent cannot see GOI MCP**: confirm the server is added and enabled in [cursor.com/agents](https://cursor.com/agents), not only in local IDE settings. * **Still stuck?** Contact [support@istari.ai](mailto:support@istari.ai). ## See also * [Overview](/mcp/overview): what GOI MCP provides and quota tables. * [Tools](/mcp/tools): tool reference and when to use each one. * [Privacy](/mcp/privacy): logging and data retention. # Overview Source: https://docs.istari.ai/mcp/overview GOI over the Model Context Protocol, search, similarity, and analytics across ~20M verified organizations, exposed to AI agents. Search, similarity, and analytics across **approximately 20 million active, verified organizations across 232 countries and territories**: exposed to AI agents via the [Model Context Protocol](https://modelcontextprotocol.io). The Global Organization Index (GOI) is ISTARI's curated, organization-level dataset, built through a multi-step validation pipeline that prioritizes quality over volume. See the [GOI product documentation](/goi/goi_start_page) for dataset methodology, schema, and coverage statistics. ## What GOI MCP gives you A single MCP endpoint that lets an AI agent run the same queries a GOI user would run, with all results scoped to that user's account and plan: * **Search** organizations by natural-language description, exact keywords, or a hybrid of both. * **Find lookalikes** to one or more reference organizations via embedding similarity, optionally steered with boost / penalize terms. * **Filter and list** by country, state, region, district, municipality, NACE sector, organization type, size, and commercial-register attributes. * **Aggregate** counts and distributions across any combination of those dimensions (one- or two-dimensional breakdowns, with optional time bucketing). * **Look up** full organization profiles by exact domain. * **Resolve** free-text place names to canonical filter values. GOI MCP is not yet listed in connector directories for Claude or ChatGPT. Add it as a custom connector — see [Connect](/mcp/connect). Once store approval is complete, we will update the docs with one-click install instructions. ## Get access 1. Sign up or sign in at [index.istari.ai](https://index.istari.ai). The same account works for the GOI dashboard, the API, and GOI MCP. 2. Submit the [GOI MCP access request](https://index.istari.ai/goi-mcp-access). We email you **Client ID**, **Secret**, and connection details when your account is enabled. 3. Follow [Connect](/mcp/connect) to add GOI MCP as a custom connector in Claude, ChatGPT, Cursor, or another MCP client. ## Plan access New accounts start on the **Standard** plan, most functionality with monthly limits (see [Connect](/mcp/connect#standard-plan-quotas)). For higher quotas, see [GOI access plans](https://www.istari.ai/en/technology) on the ISTARI technology page. ## Standard plan quotas All new accounts start on the **Standard** plan. Quotas reset on the first of each month (UTC). | Capability | Tool group | Monthly limit | | ---------- | ---------------------------------------------------------------------------------------------------------- | ---------------------------: | | Search | `search_organizations`, `find_similar_organizations`, `find_similar_with_steering`, `filter_organizations` | 100 requests / 1,000 results | | Fetch | `get_organization_details` | 100 requests / 1,000 results | | Aggregate | `aggregate_organizations` | 100 requests | | Metadata | `describe_filters`, `resolve_location` | unlimited | When a call would exceed the limit, the tool returns an error string beginning with `Error:`. A short consumption indicator appears in the response footer once you cross 80% of any limit. For full quota tables across dashboard, MCP, and API, see [Pricing and limits](/docs/pricing). For higher quotas on a commercial plan, see [GOI access plans](https://www.istari.ai/en/technology) or contact [support@istari.ai](mailto:support@istari.ai). A server-level burst cap (60 requests / minute per IP) also applies, independent of the monthly plan quota to maintain fair usage. ## Troubleshooting * **`Monthly request quota exceeded`**: quotas reset on the first of the month (UTC). To raise your limits, see [GOI access plans](https://www.istari.ai/en/technology). * **`/health`** returns `200 OK` with `{"healthy": true, "service": "goi-mcp"}` whenever the service is reachable. For everything else: [support@istari.ai](mailto:support@istari.ai). ## Learn more * [Tools](/mcp/tools): what each tool does and when to use it. * [Privacy](/mcp/privacy): what we log, where it lives, how long we keep it. * [GOI product docs](/goi/goi_start_page): dataset, schema, GOI dashboard features. * [GOI API docs](/api/api_start_page): the underlying API GOI MCP wraps. # Privacy Source: https://docs.istari.ai/mcp/privacy Data handling for GOI MCP, what we log, where it lives, retention, embedding cache, and GDPR rights. This page covers data handling specific to GOI MCP. For istari.ai's full privacy policy and legal notices, see the [imprint](https://www.istari.ai/en/imprint#privacypolicy). ## Data controller **istari.ai GmbH**\ Julius-Hatry-Straße 1\ 68163 Mannheim, Germany Data Protection Officer: Dr. Sebastian Schmidt. Contact: [support@istari.ai](mailto:support@istari.ai). ## Where data lives Application data is processed and stored in **Google Cloud `europe-west3` (Frankfurt)**. The Postgres database, application servers, and audit logs are all in-region. ## What we log Every MCP tool call produces one row in our `request_log` table. Each row stores: * Your istari.ai user ID and tier. * The tool name (e.g. `search_organizations`). * The structured arguments you passed: for example, your search query text, the domain list you asked us to fetch, the filter values you applied. We log these so we can enforce monthly quotas, debug failures, and improve relevance. * The result count returned and the wall-clock duration. * HTTP status and error code (if any). We **do not log**: your full conversation with the AI client, the text the AI client generated around the tool call, your IP address, or your user-agent string. ## How long we keep it * **Server / HTTP access logs**: retained for at most **7 days**, per the istari.ai [privacy policy](https://www.istari.ai/en/imprint#privacypolicy). * **Application request log** (the `request_log` table described above): retained for **24 months**, then deleted. * **Embedding cache**: embeddings of submitted reference domains are retained indefinitely. They are derived numerical features, not personal data. ## Cross-tenant isolation * Your queries and results are never visible to other users. * Your queries are **not** used to train AI models. * Your queries are **not** sold or shared with third parties beyond the sub-processors listed in the [istari.ai privacy policy](https://www.istari.ai/en/imprint#privacypolicy) (Google Cloud for hosting, Clerk for authentication, Azure OpenAI for embedding generation). ## Scraping and the embedding cache When you pass a reference domain to `find_similar_organizations` or `find_similar_with_steering`, GOI MCP tries to look up that domain in our database first. If the domain is **not** already indexed, the server fetches the public website and generates an embedding from it on demand. * The fetched URLs are **public web pages**: the same content anyone with a browser can see. * We cache the resulting **embedding** (a numerical vector), not the raw page content. The cache is **shared across the user base** so that the same domain isn't re-fetched repeatedly. This is purely a performance optimization. * Subsequent requests for the same domain: from you or from any other user, re-use the cached embedding and trigger no further HTTP fetch. The crawler respects standard `robots.txt` directives. ## Authentication and tokens Authentication uses **OAuth 2.1 with Dynamic Client Registration**, backed by [Clerk](https://clerk.com/). Access tokens are issued to your AI client (not stored on istari.ai side beyond verification caches), are short-lived, and are refreshed automatically by the client. We verify JWTs against Clerk's JWKS and fetch your profile metadata (tier, scope) via Clerk's userinfo endpoint with a five-minute in-memory cache. We do not see your password. ## GDPR rights If you are an EU resident, you have the right to access, rectify, erase, restrict, and port your personal data, and to object to processing. To exercise any of these rights, email [support@istari.ai](mailto:support@istari.ai). Standard response window is 30 days. ## Updates to this page Material changes to data handling will be reflected here and in the changelog of new GOI MCP revisions. For binding policy language, the [istari.ai privacy policy](https://www.istari.ai/en/imprint#privacypolicy) is authoritative. # Research workflows Source: https://docs.istari.ai/mcp/research-workflows Multi-step recipes that chain GOI tools together — size a market, map it, and drill into individual companies in one flow. A single tool call answers a single question. Real research chains them: resolve a place, size the sector, pull the players, then drill into one. These workflows are validated end-to-end against the live index. ## Workflow 1 — Size & map a niche market in a region **Goal:** "How big is the battery-manufacturing scene in Bavaria, and who are the players?" ```python theme={null} # 1. Resolve the place to a canonical filter (NATIVE name — see note) resolve_location(query="Bayern") # → state "Bayern" · filter {"state": ["Bayern"]} · 324,463 orgs # 2. Size the sector in that region (exact, deterministic) aggregate_organizations( country=["Germany"], state=["Bayern"], nace_code=["NACE C: Manufacturing"], group_by="organization_size", ) # → Small 14,462 · Micro 12,457 · Medium 2,932 · Large 1,692 (~31.5k manufacturers) # 3. Pull the actual players (niche-finder pattern, scoped to the region) search_organizations( query="manufacturer of battery cells, modules and packs for EVs and energy storage", keywords_must_all=["battery"], state=["Bayern"], nace_code=["NACE C: Manufacturing"], size=10, ) # → Smart Battery Solutions, LION Smart, A² Battery Solutions, CATL (Bavaria), BMZ Group # 4. Drill into one for a full profile get_organization_details(domains=["lionsmart.com"]) # → LION Smart GmbH · Garching b. München · NACE C · battery/BMS/e-mobility keywords ``` **Use native place names with `resolve_location`.** `resolve_location("Bavaria")` returns junk (it fuzzy-matched *Bagnaria, Italy*). `resolve_location("Bayern")` returns the real state. Resolve first, then pass the returned filter object verbatim. ## Workflow 2 — Competitive landscape from a seed company **Goal:** "Map the competitors of a company I know, then profile the top ones." ```python theme={null} # 1. Find lookalikes by embedding similarity find_similar_organizations( domains=["celonis.com"], exclude_domains=["celonis.com", "celonis.de"], min_score=0.6, size=15, ) # → Mimica, mindzie, iGrafx, ARIS, Wang Fan Xin … (the process-mining cluster) # 2. (optional) Size the cluster by geography or scope it # aggregate_organizations(nace_code=[...], group_by="country") # 3. Hydrate the shortlist for outreach / analysis get_organization_details(domains=["mimica.ai", "mindzie.com", "igrafx.com"]) ``` ## Why chain instead of one big query * **Different tools answer different questions.** `aggregate` gives exact counts but ignores keywords; `search` ranks but its `Total` is unreliable. Use each for what it's good at. * **Resolve → filter → search → hydrate** keeps every step deterministic and reproducible. * For the per-step parameter discipline, see the [Cookbooks](/cookbooks/overview); to make an agent do this automatically, install the [Agent skill](/mcp/agent-skill). # Tools Source: https://docs.istari.ai/mcp/tools The eight read-only MCP tools exposed by GOI MCP, search, similarity, filter, fetch, aggregate, and metadata helpers. The MCP server exposes eight tools. All eight are read-only. When a client connects, it discovers them automatically via MCP's `tools/list`, there is no separate REST surface to learn. The same server also exposes this documentation as MCP **resources**. A client can list them via `resources/list` and fetch the raw Markdown via `resources/read`, with URIs like `https://mcp.goi.istari.ai/docs/tools.md`. Pick whichever discovery path your client supports. A successful tool call returns a Markdown-formatted response. On errors, the response is a string beginning with `Error:` followed by a human-readable explanation. Every successful response (above an 80% quota threshold) gets a footer disclosing your active scope and remaining monthly budget. ## search\_organizations Search the GOI corpus with auto-detected mode: * `query` alone → **semantic** (embedding) search. * `keywords_*` alone → **BM25** full-text search. * `query` + `keywords_*` → **hybrid** with Reciprocal Rank Fusion. Add filters (country, state, NACE sector, organization size / type, register attributes, summary keyword tags) to narrow the scope. Results are deduplicated by name and paginated with an opaque `search_after` cursor. Use this for "find me organizations that …" and exploratory market research questions. ## find\_similar\_organizations Find organizations similar to up to three reference domains via embedding similarity. Optional `keywords_must_all` / `keywords_must_not` are applied as post-filters. If a reference domain is not already in GOI, the public site is fetched and embedded on demand. The resulting embedding is cached across users, see [Privacy](/mcp/privacy#scraping-and-the-embedding-cache). Use for "organizations like X", competitive benchmarking, supplier discovery, peer-group analysis. ## find\_similar\_with\_steering Same as `find_similar_organizations` but with **embedding arithmetic** to steer the search: * `boost`: up to five terms whose averaged embedding is *added* to the reference vector. Pulls the search toward a concept. * `penalize`: up to five terms whose embedding is *subtracted*. Pushes the search away. * `repel_domains`: up to five domains whose embeddings are subtracted. Pushes the search away from a specific organization. * `weight`: `weak` (0.5), `normal` (1.0), or `strong` (2.0) to scale every adjustment. Use this when a plain similarity search returns too much of the wrong thing, for example *"organizations like Stripe, but enterprise-focused"* maps to `domains=["stripe.com"], boost=["enterprise"]`. ## filter\_organizations Enumerate organizations matching structured criteria, with no relevance scoring. Supports the same filter dimensions as `search_organizations`, plus optional keyword filters that trigger a BM25 query. Useful when you know exactly what you want and don't need ranking. ## get\_organization\_details Fetch full organization profiles by exact domain. Up to 20 domains per call. Returns identity, location, classification (NACE, type, size), description, keywords, and registry filings for each. Use this after a search to drill into specific organizations, or when you already have a list of domains to look up. ## aggregate\_organizations Count organizations grouped by one or two dimensions, optionally with a date bucket. Supports the full set of filterable dimensions plus `continent`, `country_code`, `state_code`, `region_code`, `district_code`, `municipality_code`, `employee_class`, `revenue_class`, `source`, `summary_keywords`, `company_register_date`, and `created_at`. Use for *"how many"*, *"share of"*, *"distribution of"*, and *"trend of"* questions. Returns a table the caller can chart directly. ## describe\_filters Returns valid values for the enumerable filter columns (`organization_size`, `organization_type`, `nace_code`, `company_register_court`), plus a documentation block describing the date-filter parameters and how to resolve location names. Call this once at the start of a session to ground filter-string choices, instead of guessing. ## resolve\_location Fuzzy-match a free-text place name to the canonical GADM administrative entry. Returns ranked candidates with their admin level (country / state / region / district / municipality) and a suggested filter object to drop into the next call. Place names follow GADM's native official spelling, *Bayern* not *Bavaria*, *München* not *Munich*, *Île-de-France* not *Ile de France*. The fuzzy match catches anglicizations and minor misspellings, but the value returned to filters is the canonical form. ## Filter dimensions All filter-accepting tools (`search_organizations`, `find_similar_*`, `filter_organizations`, `aggregate_organizations`) share the same filter parameter set: | Group | Fields | | -------------- | ------------------------------------------------------------------ | | Geographic | `country`, `state`, `region`, `district`, `municipality` | | Classification | `nace_code`, `organization_size`, `organization_type` | | Tags | `summary_keywords` | | Registry | `company_register_court`, `register_date_from`, `register_date_to` | Values within a single field combine with **OR**. Different fields combine with **AND**. See the [GOI dashboard docs](/goi/advanced-search-filters) for the same filters as they appear in the web UI. ### A note on commercial-register data The registry fields (`company_register_court`, `register_date_*`) are populated **only for German, Austrian, and Swiss organizations** today, and only for entries appearing in the commercial register from January 2026 onwards. Organizations outside that scope have null register attributes and are excluded from any filter on those fields. The rest of the dataset (\~20M organizations across 232 countries) is unaffected. This isn't an API restriction, it's the current state of the underlying source data. Coverage expands over time. ## Pagination Search and filter tools return up to 500 results per call, default 20. The response includes an opaque `search_after` cursor; pass it verbatim on the next call to get the next page. ## Errors Tool errors are returned as plain text in the format: ``` Error []: ``` The bracketed code is stable across releases and lets a client (or LLM) route on a single identifier instead of parsing prose. The message body explains what specifically went wrong and what to do. | Code | When it fires | Caller action | | ------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------- | | `INVALID_INPUT` | A required argument is missing, a value is malformed, or a cross-field rule is violated (e.g. `must_not` without any positive terms) | Adjust the inputs and retry | | `INVALID_AGGREGATION_COLUMN` | `aggregate_organizations` was called with an unknown `group_by` / `group_by_secondary`, or with the secondary set without a primary, or with the two equal | Pick a value from the message's `Allowed: [...]` list | | `INVALID_FILTER_COLUMN` | `describe_filters` was called with a column that is not an enumerable filter | Pass one of the `Allowed:` values, or omit `column` to see all | | `INVALID_DATE_TRUNC` | `date_trunc` not in `year` / `month` / `week` | Pass a valid value | | `OUT_OF_SCOPE` | A filter value is outside your account's allowed scope (region or commercial-register court) | Use one of the `Allowed values:` in the message; this only fires for accounts with a configured scope | | `RATE_LIMITED_REQUESTS` | Monthly request budget for this bucket exceeded | Wait until the start of next month, or upgrade: see [Connect](/mcp/connect#standard-plan-quotas) | | `RATE_LIMITED_RESULTS` | Monthly result budget for this bucket exceeded | Same | | `ROUTE_BLOCKED` | This tool is gated and not available on your plan | Upgrade plan: see [GOI access plans](https://www.istari.ai/en/technology) | | `REFERENCE_DOMAIN_UNAVAILABLE` | `find_similar_*` got a reference domain that is not in GOI and whose website could not be fetched | Try a different reference domain, or remove the unreachable one | | `INTERNAL` | An unexpected server-side error. The message contains a short **reference ID** (8 hex characters): quote it when contacting support so we can correlate to logs | Retry once; if the same ID class repeats, contact `support@istari.ai` with the reference ID | `INTERNAL` errors are the only ones whose detail is intentionally opaque, full traceback goes to our server logs, not to you. # Additive manufacturing Source: https://docs.istari.ai/research-data/additive-manufacturing Find companies that are engaged in additive manufacturing. The webAI Additive Manufacturing Agent (3D Printing) was trained by ISTARI.AI to derive companies’ know-how in the field of additive manufacturing from their websites and to map it as an individual Additive Manufacturing Score. By knowhow in this context, we mean products and services in additive manufacturing or personnel with skills in additive manufacturing. This numerical indicator reflects how central the topic of additive manufacturing is communicated by the company on its own website and presented as essential for its own business model. In addition, webAI also derives an Additive Manufacturing Information Intensity Score for each company. This reflects how intensively the company communicates about the topic of additive manufacturing without having its own products and services with integrated additive manufacturing or specially trained personnel. Companies that are active in the field of additive manufacturing, have business areas geared to it, or offer products and services with a direct link, usually communicate this fact. The more central this topic is for the company, the more significant it is for the company’s external communication. For example, a startup for “rapid prototyping” communicates almost exclusively on the topic of additive manufacturing, while a consulting company that offers “additive manufacturing consulting” among many other topics communicates only to a limited extent on additive manufacturing. WebAI distinguishes “information” communication in addition to this “knowhow” communication (it offers its own additive manufacturing products and services). An example of this would be a regional newspaper’s website reporting that a regional incubator for additive manufacturing startups has recently opened. Our webAI reads the website of the company under investigation and searches it for text sections (paragraphs) that deal with the topic of additive manufacturing. For this purpose, webAI first searches for keywords related to additive manufacturing, then analyzes the identified paragraphs and determines whether the company reports on its own additive manufacturing know-how or only communicates information about additive manufacturing. If webAI has assigned a corresponding paragraph to the category “Knowhow” or “Information”, webAI remembers this paragraph and continues searching. In this way, webAI searches the entire company website, or the particularly relevant “top-level” sub-webpages in the case of very extensive websites with hundreds of sub-webpages (for more information, see the publication: [Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study](https://doi.org/10.1007/s11192-020-03726-9)).\ WebAI thus finds a certain number of paragraphs per company website that deal with the topic of additive manufacturing. WebAI classifies these paragraphs into “knowhow” and “information” and then relates the number to the total amount of text content read on the website. Thus, webAI determine an Additive Manufacturing Knowhow Intensity and an Additive Manufacturing Information Intensity for the company. The intensities determined in this way would be 0.0 for a company with no additive manufacturing-related texts. For the example of a consulting company described above, on the other hand, the value for Additive Manufacturing Knowhow could be 0.25 and the value for Additive Manufacturing Information 0.21. The startup that is particularly focused on additive manufacturing could have an Additive Manufacturing Knowhow Intensity of 3.8 and an Additive Manufacturing Information Intensity of 0.9. The regional newspaper, on the other hand, would have an Additive Manufacturing Knowhow Intensity of 0.0 and an Additive Manufacturing Information Intensity of 0.05. In addition, we integrate an auxiliary column into our data as an interpretation and reading aid. It categorizes the intensities from “low” to “very high”. In the example above, the consulting company would be classified as “low” intensity and the startup as “very high” intensity. So, unlike simpler, binary classifications (“additive manufacturing YES/NO”), webAI outputs two continuous scores at the company level. This allows to distinguish between companies where additive manufacturing is only a marginal topic and those where it plays a central role. In addition, companies with products and services based on or related to additive manufacturing can be distinguished from those that merely provide information on the topic. Users of webAI data can thus easily determine for themselves how and to what extent a company should focus on additive manufacturing so that it is relevant to them. As an example for the DACH region (Germany, Austria, Switzerland) it can be said that 0.9% of the investigated companies have an Additive Manufacturing Knowhow Intensity of greater than 0.0 and thus communicate knowhow in the area of additive manufacturing in some form. The average Knowhow Intensity score for companies with knowhow is 0.44, with half of the companies having a score lower than 0.17. The maximum score achieved is 4.0, with only 15.8% achieving a score of 1.0 or higher. Like all our webAI agents, the webAI Additive Manufacturing Agent was developed and validated together with independent subject matter experts. This ensures that we train the webAI agent with real expert knowledge and that it then generates expert-level results. For this agent, ISTARI.AI collaborated with the Technical University of Munich. The validation of the Additive Manufacturing Intensity Scores was also carried out in the study [Technology Mapping Using WebAI: The Case of 3D Printing](https://doi.org/10.48550/arXiv.2201.01125), which was conducted by researchers from the University of Mannheim, University of Giessen, University of Salzburg and the Technical University of Munich. # Artificial intelligence Source: https://docs.istari.ai/research-data/artificial-intelligence Find companies that are engaged in artificial intelligence. The webAI AI Agent was trained by ISTARI.AI to derive companies’ artificial intelligence (AI) know-how from their websites and to map it as an individual AI Intensity Score. By AI know-how, in this context, we mean products and services with integrated AI or personnel with AI skills. The resulting numerical indicator reflects how centrally the topic of artificial intelligence is communicated on the company’s website and presented as essential for its own business model. Companies that are active in the field of artificial intelligence, have business areas geared to it, or offer products and services with a direct link, usually communicate this. The more central this topic is for the company, the more significant it is for the company’s external communications. For example, a machine translation startup communicates almost exclusively on the topic of artificial intelligence, while a consulting company that offers “AI consulting” among many other topics communicates only to a limited extent on artificial intelligence. An example of a company that only communicates about AI would be a regional newspaper’s website reporting that a regional incubator for AI startups has recently opened. Our webAI reads the website of the company under study and searches it for text sections (paragraphs) that deal with the topic of artificial intelligence. For this purpose, webAI first searches for keywords related to AI, then analyzes the identified paragraphs to determine whether the company reports on its own AI know-how or merely communicates information on the topic of AI. If webAI has assigned a corresponding paragraph to the category “Know-how” , webAI remembers this paragraph and continues searching. In this way, webAI searches the entire company website, or the particularly relevant “top-level” sub-webpages if it is a very extensive website with hundreds of sub-webpages (for more information, see the publication: [Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study](https://doi.org/10.1007/s11192-020-03726-9)). WebAI thus finds a certain number of paragraphs per corporate website that deal with the topic of artificial intelligence. WebAI identifies all “know-how” paragraphs and then relates their number to the total amount of text content read on the website. Thus, webAI determines an AI Intensity for the company. The intensity determined in this way would be 0.0 for a company without AI-related texts. For the example of a consulting company described above, on the other hand, the intensity value could be 0.25. The startup that is particularly focused on AI could have an AI Intensity of 3.8. The regional newspaper, on the other hand, would have an AI Knowhow Intensity of 0.0. In addition, we integrate an auxiliary column into our data as an interpretation and reading aid. It categorizes the intensities from “low” to “very high”. In the example above, the consulting company would be classified as “low” intensity and the startup as “very high” intensity. So, unlike simpler binary classifications (“AI YES/NO”), webAI outputs two continuous scores at the company level. This allows to distinguish between companies where AI is only a marginal topic and those where it plays a central role. Users of webAI data can thus easily determine for themselves how and to what extent a company should focus on AI so that it is relevant to them. As an example for the DACH region (Germany, Austria, Switzerland), we can say that 2.0% of the companies surveyed have an AI Intensity greater than 0.0 and thus communicate some form of know-how in the area of artificial intelligence. The average AI Intensity score for those companies is 0.32, with half of the companies having a score lower than 0.16. The maximum score achieved is 3.42, with only 7.28% achieving a score of 1.0 or higher. Like all our webAI agents, the webAI AI Agent has been developed and validated together with independent subject matter experts. This ensures that we train the webAI agent with real expert knowledge and that it then generates expert-level results. For this agent, ISTARI.AI collaborated with the University of Mannheim. The validation of the AI Intensity Scores was also done in a study on [When is AI Adoption Contagious? Epidemic Effects and Relational Embeddedness in the Inter-Firm Diffusion of Artificial Intelligence](https://www.research-collection.ethz.ch/handle/20.500.11850/589410), which was conducted by researchers from the University of Mannheim, University of Giessen, University of Hohenheim and ETH Zurich. The study is currently in peer review at an international journal and has already received the “Best Paper Award” at the “R\&D Management Conference 2022”. # Blockchain Source: https://docs.istari.ai/research-data/blockchain Find companies that are engaged in blockchain. The webAI Blockchain Agent was trained by ISTARI.AI to derive companies’ Blockchain know-how from their websites and to map it as an individual Blockchain Intensity Score. Blockchain know-how in this context is products and services with integrated Blockchain or personnel with Blockchain skills. This numerical indicator reflects how central the topic of Blockchain is communicated by the company on its own website and presented as essential for its own business model. Companies that are active in the area of Blockchain, have business fields geared to it or offer products and services with a direct connection usually communicate this fact. The more central this topic is for the company, the more significant it is for the company’s external communication. For example, a startup for integrating blockchain into the supply chain communicates almost exclusively on the topic of blockchain, while a consulting company that offers “blockchain consulting” among many other topics communicates only to a limited extent about this technology. WebAI distinguishes “information” communication in addition to this “know-how” communication (it offers its own products and services with integrated Blockchain). An example of this would be the website of a regional newspaper reporting that a regional incubator for Blockchain startups has recently opened. Our webAI reads the website of the company under investigation and searches it for text sections (paragraphs) that deal with the topic of blockchain. For this purpose, webAI first searches for keywords related to blockchain, then analyzes the paragraphs identified in this way and determines whether the company reports on its own blockchain know-how or merely communicates information on the topic of blockchain. If webAI has assigned a corresponding paragraph to the category “Know-how”, webAI remembers this paragraph and continues searching. In this way, webAI searches the entire company website, or the particularly relevant “top-level” sub-webpages, if very extensive websites with hundreds of sub-webpages are involved (for more information, see the publication: [Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study](https://doi.org/10.1007/s11192-020-03726-9)). WebAI thus finds a certain number of paragraphs per corporate website that deal with the topic of blockchain. WebAI classifies identifies “know-how” paragraphs and then relates their number to the total amount of text content read on the website. Thus, webAI determine a Blockchain Intensity for the company. The intensity determined in this way would be 0.0 for a company with no Blockchain-related texts. For the example of a consulting company described above, on the other hand, the value for Blockchain Intensity could be 0.25. The startup that is particularly focused on Blockchain could have a Blockchain Intensity of 3.8. The regional newspaper, on the other hand, would have a Blockchain Intensity of 0.0. In addition, we integrate an auxiliary column into our data as an interpretation and reading aid. It categorizes the intensities from “low” to “very high”. In the example above, the consulting company would be classified as “low” intensity and the startup as “very high” intensity. So, unlike simpler binary classifications (“Blockchain YES/NO”), webAI outputs two continuous scores at the company level. This allows us to distinguish between companies where Blockchain is only a marginal topic and those where it plays a central role. Users of webAI data can thus easily determine for themselves how and to what extent a company should focus on Blockchain so that it is relevant to them. As an example for the DACH region (Germany, Austria, Switzerland), it can be said that 0.5% of the companies surveyed have a Blockchain Intensity greater than 0.0 and thus communicate Blockchain know-how in some form. The average Intensity Score for those companies is 0.45, with half of the companies having a score greater than 0.18. The maximum score achieved is 4.2, with 14.0% achieving a score of 1.0 or higher. Like all our webAI agents, the webAI Blockchain Agent has been developed and validated together with independent domain experts. This ensures that we train the webAI agent with real expert knowledge and that it then generates expert-level results. For this agent, ISTARI.AI collaborated with the Technical University of Munich. The validation of the Blockchain Intensity Scores is also currently being carried out in a study with the working title “Blockchain Technology Diffusion and Use Cases in the European Industry”, which is being conducted by researchers from the University of Mannheim, University of Giessen and the Technical University of Munich. # Company networks Source: https://docs.istari.ai/research-data/company-networks Explore company networks. The webAI Company Networks Agent captures hyperlinks between companies’ websites to map their interconnectedness. Companies link to the websites of other economic actors for various reasons. For example, companies often name reference customers on their websites and then usually also set up a hyperlink to their website. With webAI we quantify these linkages by identifying hyperlink connections between companies. Our webAI reads the website of the examined company and searches it for hyperlinks that target other websites (domains). Thus, webAI searches the entire corporate website, or the particularly relevant “top-level” sub-webpages, if very extensive websites with hundreds of sub-webpages are involved (for more information, see the publication: [Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study](https://doi.org/10.1007/s11192-020-03726-9)). WebAI thus finds a certain number of hyperlinks per company website that point to external websites. Then, webAI merges this information with content from all other corporate websites that were also searched. Thus, webAI identifies not only “outbound” hyperlinks, i.e., those pointing from Company A to Companies B, C, and D, but also “inbound” hyperlinks, i.e., hyperlinks from Companies B, E, and F pointing to Company A. From this information, webAI calculates the following variables that provide information about the interconnectedness of the company: 1. Incoming links: The destination domains of all outbound hyperlinks from a company’s website. 2. Incoming links count: The total number of target domains of all outgoing hyperlinks from a company’s website. 3. Outgoing Links: The origin domains of all incoming hyperlinks pointing to a company’s website. 4. Outgoing links count: The total number of origin domains of all inbound hyperlinks pointing to a company’s website. 5. Links: Variable (1)and (3) combined. 6. Links Count: The number of domains from (5). The data collected with webAI Company Networks maps the hyperlink connections between the examined company websites. This relational data can be examined for more complex analysis using specialized software for network analysis. For example, centrality measures or cluster detection algorithms can be applied. However, the data provided also allows valuable insights into the networking of individual companies without further analysis. For example, a glance at the “Links Count” column reveals how many other companies the company under consideration is connected to via a hyperlink. This variable combines both all outgoing links from the company under consideration and all incoming links from other companies. As an example for the DACH region (Germany, Austria, Switzerland), it can be said that companies have an average “Links Count” of 13.1 (median 6.0), with 9.4% of companies having no hyperlinks to other companies at all. The maximum achieved value for “Links Count” is 559,203, which is google.com. Depending on the nature of the question, it is recommended to remove such outliers from the data. Like all our webAI agents, the webAI Comapny Networks was developed and validated together with independent subject matter experts. This way, we ensure that the results of the webAI agents are validated in the context of external studies at a high scientific level. For the development of this agent ISTARI.AI collaborated with ZEW – Leibniz Centre for European Economic Research in Mannheim, the University of Salzburg and the Technical University of Berlin. In addition, the results of the agent have been used in scientific studies, including by researchers at the University of Groningen in the Netherlands and in a joint study with researchers at ETH Zurich. The latter study was awarded the Best Paper Award at the renowned “R\&D Management Conference 2022”. # Contact information Source: https://docs.istari.ai/research-data/contact-information GDPR compliant phone numbers and e-mail addresses ISTARI.AI uses GDPR-compliant approaches to collect, process and make available the publicly available contact information (i.e. self-published information) of companies. The following information is available: | Column name | Description | | --------------------- | ----------------------------------------------------- | | `main_contact_mail` | Main contact e-mail address. | | `all_mails` | All e-mail addresses found on the respective website. | | `main_contact_number` | Main contact phone number. | | `all_phones` | All phone numbers found on the respective website. | # Digital health Source: https://docs.istari.ai/research-data/digital-health Find companies that are engaged in digital health. The webAI Digital Health Agent was trained by ISTARI.AI to identify companies with a focus on the digital health sector and to map their focus on this topic as an individual Digital Health Intensity Score. This numerical indicator measures how centrally the topic of digital health is communicated by the company on its own website and presented as essential for its own business model. \ Digital Health includes theuse of information and communication technology (ICT) in the field of healthcare. More specifically we look at four sub-segment: * **E-health:** Companies that offer services or products that are used to support the treatment and care of patients with modern ICT methods. This includes, for\ example, the communication of medical data made available with an electronic health card. Electronic prescriptions for medicines and electronic patient records\ also fall into this category. Examples are: Pharmacies that accept electronic prescriptions, doctors and clinics that allow appointments to be made digitally, manufacturer of card readers for electronic health cards, developers offering software for electronic medical records or patient management systems, providers and users of software for online consultations, online pharmacies. * **Trend Health:** Companies that offer digital services and products from the health sector mainly for private consumers. This includes applications and products for self-care and disease prevention (elderly care / assisted living), vital data monitoring with medical wearables (activity trackers, mHealth apps). Examples are: Manufacturer of wearable smart insulin pump, manufacturer of wearable fitness tracker, manufacturer of wearable, digital SOS button for seniors, developer of calorie counting app, developer of fitness tracking app, manufacturer of smart body scale, developer of AI health companion, provider of genetic testing for private individuals. * **Tech Health:** Companies that offer novel digital services and products from the health sector mainly for professional consumers. This includes products and services from the fields of robotics, big data, artificial intelligence, sensor technology and 3D printing. Examples are: Provider of software for AI-supported analysis\ of disease data (e.g. cancer detection), digital (robotic) prosthesis manufacturer, manufacturer of 3D printers for medical needs, manufacturer of remote-controlled robots for operations, manufacturer of nanorobots for diagnostics. Companies that are active in these digital health-related areas, have business fields geared to them, or offer products and services with a direct connection, usually communicate this on their websites. The more central the topic is for the company, the more significant it is for the company’s external communication. For example, a startup for health monitoring software communicates almost exclusively on the topic of digital health, while a clinic, which among many other (more traditional health) services also offers digital consulting hours, does so only to a limited extent. Our webAI reads the website of the company under investigation and searches for text sections (paragraphs) that deal with the topic of digital health. To do this, webAI first searches for keywords that are potentially related to digital health, analyzes the paragraphs identified in this way, and determines whether or not they are actually digital health-related texts. If webAI has assigned a corresponding paragraph to the topic of digital health with a high probability, webAI remembers this paragraph and continues searching. In this way, webAI searches the entire company website or the particularly relevant “top-level” sub-pages if it is a very extensive website with hundreds of sub-pages (for more information, see the publication: [Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study](https://doi.org/10.1007/s11192-020-03726-9)). In this way, webAI finds a certain number of paragraphs per company website that deal with the topic of digital health. WebAI then puts this number in relation to the total amount of text content read on the website. In this way, webAI determines a Digital Health Intensity for each company. The Digital Health Intensity Score calculated in this way would be 0.0 for a company with no digital health-related texts. For the example of a clinic described above, the calculated intensity value could be 0.15 and 3.97 for the startup that is particularly focused on digital health. The Digital Health Intensity Score has no upper limit. In addition, we integrate an auxiliary column into our data as an interpretation and reading aid. It categorizes the intensities from “low” to “very high”. In the example above, the clinic would be classified as “low” intensity and the startup as “very high” intensity. In contrast to simpler, binary classifications (“Digital Health YES/NO”), webAI outputs a continuous score at the company level. This makes it possible to distinguish between companies for which digital health is only a peripheral issue and those for which it plays a central role. Users of the webAI data can thus easily determine for themselves how strongly a company should be engaged in the digital health sector for it to be relevant to them. In Europe, it can be said that 1% of the companies studied have a Digital Health Intensity Score of greater than 0.0 and thus communicate the topic of digital health in some form on their websites. The average Digital Health Intensity Score of these companies is 0.4 and half of the companies have a score lower than 0.17. The maximum score achieved is 5.3, with 11% achieving a score of 1.0 or higher. Like all our webAI agents, the webAI Digital Health Agent was developed and validated together with independent subject matter experts. This ensures that we train the webAI agent with real expert knowledge and that it then delivers expert-level results. For this agent ISTARI.AI has collaborated with researchers from the University of Mannheim. The Digital Health Intensity Scores are currently also being validated in a not yet published study. # Energy Source: https://docs.istari.ai/research-data/energy Find companies that are engaged in the energy sector. The webAI Energy Agent was trained by ISTARI.AI to identify companies with a focus on the energy sector and to map their focus on this topic as an individual Energy Intensity Score. This numerical indicator measures how centrally the topic of energy is communicated by the company on its own website and presented as essential for its own business model. We consider the entire value chain from the exploitation of energy sources to distribution to end consumers and their consumption patterns, i.e. the entire energy industry. More specifically we look at four sub-segment: * **Generation**: Power/energy generation is the colloquial term for energy transformation where electrical energy and heat is made available. All companies that are involved in the exploitation of energy sources up to their transformation into electrical energy or heat belong to this category. Companies that provide products or services for this purpose also belong to this category. Examples are: Oil production (oil drilling), coal mining, operators of solar parks, manufacturers of solar panels , manufacturers of steam boilers for power generation in coal-fired power plants, manufacturers of control software for nuclear power plants, waste incineration for district heating, hydrogen production. * **Grid**: Network for the transmission and distribution of electrical energy, heat and other energy sources (gas, hydrogen etc.). This includes the manufacturers of required components (hardware and software), service providers and operators. Examples are: Contractors and commissioning authorities for the development and operation of the electricity grid and pipelines (gas, district heating, etc.), manufacturer of control software for power grids (smart grid), manufacturer and operator of energy storage systems, petrol stations, electricians who install wall boxes for electric cars and manufacturers of wall boxes, manufacturers and operators of charging stations for electric cars, manufacturers of smart electricity meters, shipping company with oil tankers. * **Efficiency**: Efficient use and production of energy and optimized processes to reduce energy consumption, energy loss and emissions while maintaining or increasing effectiveness (“same or more for less”). All companies that are active in this area or help other companies/consumers to be more efficient belong to this category. Examples are: Energy consultant for companies and private individuals, construction company that carries out energy refurbishments of buildings, manufacturer of thermal insulation material, companies converting their vehicle fleet to models with lower fuel consumption, company that is renovating its own company headquarters to make it more energy efficient, power producer introducing measures to reduce energy loss in power generation with coal, company switches completely to renewable energies in production. * **Market**: Includes trading of energy sources and electricity, as well as the legal framework and (state) support measures. Examples are: Energy exchanges where energy carriers (e.g. gas) and electrical energy are traded, electricity suppliers who supply the end customer but do not operate any infrastructure themselves, legislative and supervisory bodies in the field of electricity and gas markets, development banks (e.g. German KfW) with programs to promote energy-efficient construction and refurbishment, portal for comparison of energy providers for private customers. Companies that are active in these energy-related areas, have business fields geared to them, or offer products and services with a direct connection, usually communicate this on their websites. The more central the topic is for the company, the more significant it is for the company’s external communication. For example, a startup for smart grid software communicates almost exclusively on the topic of energy, while a chemical company, which among many other products also offers specific thermal insulation components, does so only to a limited extent. Our webAI reads the website of the company under investigation and searches for text sections (paragraphs) that deal with the topic of energy. To do this, webAI first searches for keywords that are potentially related to energy, analyzes the paragraphs identified in this way, and determines whether or not they are actually energy-related texts. If webAI has assigned a corresponding paragraph to the topic of energy with a high probability, webAI remembers this paragraph and continues searching. In this way, webAI searches the entire company website or the particularly relevant “top-level” sub-pages if it is a very extensive website with hundreds of sub-pages (for more information, see the publication: [Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study](https://doi.org/10.1007/s11192-020-03726-9)). In this way, webAI finds a certain number of paragraphs per company website that deal with the topic of energy. WebAI then puts this number in relation to the total amount of text content read on the website. In this way, webAI determines a Energy Intensity for each company. The Energy Intensity Score calculated in this way would be 0.0 for a company with no energy-related texts. For the example of a chemical company described above the calculated intensity value could be 0.15, and 3.97 for the startup that is particularly focused on energy. The Energy Intensity Score has no upper limit. In addition, we integrate an auxiliary column into our data as an interpretation and reading aid. It categorizes the intensities from “low” to “very high”. In the example above, the chemical company would be classified as “low” intensity and the startup as “very high” intensity. In contrast to simpler, binary classifications (“Energy YES/NO”), webAI outputs a continuous score at the company level. This makes it possible to distinguish between companies for which energy is only a peripheral issue and those for which it plays a central role. Users of the webAI data can thus easily determine for themselves how strongly a company should be engaged in the energy sector for it to be relevant to them. As an example for the DACH region (Germany, Austria, Switzerland), it can be said that 20.5% of the companies studied have a Energy Intensity Score of greater than 0.0 and thus communicate the topic of energy in some form on their websites. The average Energy Intensity Score of these companies is 0.61 and half of the companies have a score lower than 0.30. The maximum score achieved is 6.93, with 21.63% achieving a score of 1.0 or higher. Like all our webAI agents, the webAI Energy Agent was developed and validated together with independent subject matter experts. This ensures that we train the webAI agent with real expert knowledge and that it then delivers expert-level results. For this agent ISTARI.AI has collaborated with researchers from the [University of Salzburg](https://www.plus.ac.at/?lang=en). The Energy Intensity Scores are currently also being validated in a not yet published study. # Innovation Source: https://docs.istari.ai/research-data/innovation Find innovative companies. `This indicator is available for companies based in Germany and Austria only.` The webAI InnoProb agent was trained by ISTARI.AI to derive the status of companies as innovators from their websites and to map it as an individual Innovation Probability Score (InnoProb). This indicator between 0.0 and 1.0 reflects the probability of a company being an innovator. Innovation is defined here in terms of the OECD Oslo Manual: An innovation is the introduction of a new or significantly improved product (good or service) or process, a new marketing method, or a new organizational method in business practice, workplace organization, or external relations. Websites are used by companies as platforms to provide information about their products and services, performance, strategies, and relationships. All these aspects can be associated with the innovations developed by the company. The InnoProb Score does not intend to identify individual innovations (e.g. new products), but companies with an innovation-related activity profile. This probability (the InnoProb Score) can be interpreted as a continuous innovation indicator at company level. We use a traditional company-level indicator based on a questionnaire-based innovation survey (Community Innovation Survey for Germany) to train webAI with the websites of innovative and non-innovative companies. In this training webAI learns independently how the websites of innovative and non-innovative companies differ. After the training, we can then apply webAI to any other company website. Based on the textual content, webAI then calculates how likely it is that the company under study is innovative. The InnoProb score calculated in this way would be close to 0.0 for a company that is highly unlikely to be an innovative company. A very likely innovative company, on the other hand, would have an InnoProb Score close to 1.0. In addition, we integrate an auxiliary column into our data as an interpretation and reading aid. It categorizes the probabilities of being an innovative company from “very low” to “very high”. So, unlike simpler, binary classifications (“innovative YES/NO”), webAI outputs a continuous score at the company level. Users of webAI data can thus easily determine for themselves the probability with which a company should be innovative in order to be relevant to them. For the binary classification into innovative and non-innovative companies, we recommend a classification threshold of 0.4. As an example for Germany, we can say that 15.12% of the examined companies are assessed as innovative by webAI InnoProb (InnoProb Score > 0.4). The average InnoProb Score of all companies is 0.25. Half of the companies have a score greater than 0.20. The maximum score achieved is 0.94 and the lowest is 0.03. The figure below shows the distribution of InnoProb scores as a histogram. Like all our webAI agents, the webAI InnoProb agent has been developed and validated together with independent subject matter experts. This ensures that we train the webAI agent with real expert knowledge and that it then generates expert-level results. For this agent, ISTARI.AI collaborated with the University of Giessen and the ZEW – Leibniz Centre for European Economic Research in Mannheim. ZEW is one of the leading German economic research institutes with a high European reputation. The InnoProb scores were also validated by comparing them with patent data from the European Patent Office, with projections based on survey data from the Mannheim and Berlin Innovation Panels, and with regional innovation indicators from the German Federal Statistical Office. The corresponding study [Predicting innovative firms using web mining and deep learning](https://doi.org/10.1371/journal.pone.0249071) was published in the international journal PLOS ONE. # Mobility Source: https://docs.istari.ai/research-data/mobility Find companies that are engaged in the mobility sector. The webAI Mobility Agent was trained by ISTARI.AI to derive companies’ commitment to mobility from their websites and to display it as an individual Mobility Intensity Score. This numerical indicator reflects how centrally the topic of mobility is communicated by the company on its own website and presented as essential for its own business model. Mobility is to be understood as a broad concept. This includes services and products that are used directly as a means of transport (e.g. manufacturers of e-bikes or automobiles), but also, for example, suppliers of components and software for the production of means of transport or mobility service providers such as public transport. Thus, among others, players from the automotive industry, railroad, aerospace, shipping, logistics, telematics (e.g. intelligent transport systems), e-mobility or fuel cell technology are considered. However, WebAI also finds, for example, companies that specialize in the construction of underground garages, electricians who install wallboxes, or chemical manufacturers who produce lubricants for the automotive industry. Companies that are active in these mobility-related areas, have business fields geared to them, or offer products and services with a direct connection, usually communicate this on their websites. The more central the topic is for the company, the more significant it is for the company’s external communication. For example, a startup for bicycle helmets communicates almost exclusively on the topic of mobility, while a chemical company, which among many other products also offers specific soaps for automotive workshops, does so only to a limited extent. Our webAI reads the website of the company under investigation and searches for text sections (paragraphs) that deal with the topic of mobility. To do this, webAI first searches for keywords that are potentially related to mobility, analyzes the paragraphs identified in this way, and determines whether or not they are actually mobility-related texts. If webAI has assigned a corresponding paragraph to the topic of mobility with a high probability, webAI remembers this paragraph and continues searching. In this way, webAI searches the entire company website or the particularly relevant “top-level” sub-pages if it is a very extensive website with hundreds of sub-pages (for more information, see the publication: [Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study](https://doi.org/10.1007/s11192-020-03726-9)). In this way, webAI finds a certain number of paragraphs per company website that deal with the topic of mobility. WebAI then puts this number in relation to the total amount of text content read on the website. In this way, webAI determines a mobility intensity for each company. The Mobility Intensity Score calculated in this way would be 0.0 for a company with no mobility-related texts. For the example of a chemical company described above, on the other hand, the value could be 0.15, and 3.97 for the startup that is particularly focused on mobility. The Mobility Intensity Score has no upper limit. In addition, we integrate an auxiliary column into our data as an interpretation and reading aid. It categorizes the intensities from “low” to “very high”. In the example above, the chemical company would be classified as “low” intensity and the startup as “very high” intensity. In contrast to simpler, binary classifications (“Mobility YES/NO”), webAI outputs a continuous score at the company level. This makes it possible to distinguish between companies for which mobility is only a peripheral issue and those for which it plays a central role. Users of the webAI data can thus easily determine for themselves how strongly a company should adopt mobility for it to be relevant to them. As an example for the DACH region (Germany, Austria, Switzerland), it can be said that 20.5% of the companies studied have a Mobility Intensity Score of greater than 0.0 and thus communicate the topic of mobility in some form on their websites. The average Mobility Intensity Score of these companies is 0.61 and half of the companies have a score lower than 0.30. The maximum score achieved is 6.93, with 21.63% achieving a score of 1.0 or higher. Like all our webAI agents, the webAI Mobility Agent was developed and validated together with independent subject matter experts. This ensures that we train the webAI agent with real expert knowledge and that it then delivers expert-level results. For this agent ISTARI.AI has collaborated with researchers from the [University of Salzburg](https://www.plus.ac.at/?lang=en). The Mobility Intensity Scores are currently also being validated in a not yet published study. # Overview Source: https://docs.istari.ai/research-data/research_data_start_page **ISTARI Research Data** provides access to a wide range of high-quality indicators that have already been used in **more than 20 scientific publications**. Our indicators are designed to support empirical research and quantitative, large-scale analysis across multiple disciplines. There is also the possibility to generate timeseries, using web archives. Covered topics include, among others: * Adoption of specific technologies such as **Artificial Intelligence, Blockchain, and Additive Manufacturing** * **Sustainability engagement** of organizations * **Innovation probability** * **Hyperlink networks** If your research requires additional or customized data beyond these indicators, please contact us at [**research@istari.ai**](mailto:research@istari.ai). You can find more information about the **ISTARI.AI Research Partner Program** [**here**](https://www.istari.ai/en/resources/research-partner-program). # SDG 1 Source: https://docs.istari.ai/research-data/sdg-1 Find companies that are engaged in the Sustainable Development Goal 1 - "No Poverty" The webAI SDG 1 Agent was trained by ISTARI.AI to derive companies’ commitment to Sustainable Development Goal 1 (No Poverty) from their websites and to display it as an individual SDG 1 Intensity Score. This numerical indicator reflects how centrally the topic of Sustainable Development Goal 1 is communicated by the company on its own website and presented as essential for its own business model. SDG 1 is to be understood as a broad concept. This includes services and products that are used directly to reduce poverty (e.g., microfinance institutions or affordable housing developers), but also, for example, suppliers of basic necessities and companies providing essential services or products for impoverished communities. Thus, among others, players from various industries like agriculture, education, healthcare, and basic utilities are considered. However, WebAI also finds, for example, companies that specialize in the development of affordable technology solutions, organizations that provide financial literacy training, or manufacturers who produce affordable clothing and essential goods for low-income populations. Our webAI reads the website of the company under investigation and searches for text sections (paragraphs) that deal with the topic of SDG 1. To do this, webAI first searches for keywords that are potentially related to SDG 1, analyzes the paragraphs identified in this way, and determines whether or not they are actually relevant texts. If webAI has assigned a corresponding paragraph to the topic of SDG 1 with a high probability, webAI remembers this paragraph and continues searching. In this way, webAI searches the entire company website or the particularly relevant “top-level” sub-pages if it is a very extensive website with hundreds of sub-pages. In this way, webAI finds a certain number of paragraphs per company website that deal with the topic of SDG 1. WebAI then puts this number in relation to the total amount of text content read on the website. In this way, webAI determines a SDG 1 intensity for each company. The SDG 1 Intensity Score calculated in this way would be 0.0 for a company with no SDG1-related texts. For a consulting company, for example, the value could be 0.25, and for a startup that is particularly focused on SDG 1-related topics, it could be 2.37. The SDG 1 Intensity Score has no upper limit. In addition, we integrate an auxiliary column into our data as an interpretation and reading aid. It categorizes the intensities from “low” to “very high”. In the example above, the consulting company would be classified as “low” intensity and the startup as “very high” intensity. Unlike simpler, binary classifications (“SDG 1 YES/NO”), webAI therefore outputs a continuous score at company level. This makes it possible to distinguish between companies for which SDG 1-related topics are only a marginal issue and those for which they play a central role. Users of webAI data can thus easily determine for themselves how strongly a company should focus on SDG 1 in order for it to be relevant to them. Like all our webAI agents, the webAI SDG1 Agent was developed and validated together with independent subject matter experts. This ensures that we train the webAI agent with real expert knowledge and that it then delivers expert-level results. The SDG1 Intensity Scores are currently also being validated in a not yet published study. # SDG 2 Source: https://docs.istari.ai/research-data/sdg-2 Find companies that are engaged in the Sustainable Development Goal 2 - "Zero Hunger" The webAI SDG 2 Agent was trained by ISTARI.AI to derive companies’ commitment to Sustainable Development Goal 2 (Zero Hunger) from their websites and to display it as an individual SDG 2 Intensity Score. This numerical indicator reflects how centrally the topic of Sustainable Development Goal 2 is communicated by the company on its own website and presented as essential for its own business model. SDG 2 is to be understood as a broad concept. This includes services and products that are used directly to combat hunger and ensure food security (e.g., agricultural technology companies or food distribution organizations), but also, for example, suppliers of sustainable farming equipment, and companies involved in food preservation and waste reduction. Thus, among others, players from the agriculture, food production, distribution, and technology sectors are considered. However, WebAI also finds, for example, companies that specialize in developing innovative food solutions, such as alternative protein sources, organizations that focus on agricultural education and research, or businesses that create efficient supply chain solutions to reduce food loss and improve access to nutritious food. Our webAI reads the website of the company under investigation and searches for text sections (paragraphs) that deal with the topic of SDG 2. To do this, webAI first searches for keywords that are potentially related to SDG 2, analyzes the paragraphs identified in this way, and determines whether or not they are actually relevant texts. If webAI has assigned a corresponding paragraph to the topic of SDG 2 with a high probability, webAI remembers this paragraph and continues searching. In this way, webAI searches the entire company website or the particularly relevant “top-level” sub-pages if it is a very extensive website with hundreds of sub-pages. In this way, webAI finds a certain number of paragraphs per company website that deal with the topic of SDG 2. WebAI then puts this number in relation to the total amount of text content read on the website. In this way, webAI determines a SDG 2 intensity for each company. The SDG 2 Intensity Score calculated in this way would be 0.0 for a company with no SDG 2-related texts. For a consulting company, for example, the value could be 0.18, and for a startup that is particularly focused on SDG 2-related topics, it could be 3.05. The SDG 2 Intensity Score has no upper limit. In addition, we integrate an auxiliary column into our data as an interpretation and reading aid. It categorizes the intensities from “low” to “very high”. In the example above, the consulting company would be classified as “low” intensity and the startup as “very high” intensity. Unlike simpler, binary classifications (“SDG 2 YES/NO”), webAI therefore outputs a continuous score at company level. This makes it possible to distinguish between companies for which SDG 2-related topics are only a marginal issue and those for which they play a central role. Users of webAI data can thus easily determine for themselves how strongly a company should focus on SDG 2 in order for it to be relevant to them. Like all our webAI agents, the webAI SDG2 Agent was developed and validated together with independent subject matter experts. This ensures that we train the webAI agent with real expert knowledge and that it then delivers expert-level results. The SDG2 Intensity Scores are currently also being validated in a not yet published study. # SDG 3 Source: https://docs.istari.ai/research-data/sdg-3 Find companies that are engaged in the Sustainable Development Goal 3 - "Good Health and Well-Being" The webAI SDG 3 Agent was trained by ISTARI.AI to derive companies’ commitment to Sustainable Development Goal 3 (Good Health and Well-Being) from their websites and to display it as an individual SDG 3 Intensity Score. This numerical indicator reflects how centrally the topic of Sustainable Development Goal 3 is communicated by the company on its own website and presented as essential for its own business model. SDG 3 is to be understood as a broad concept. This includes services and products that are used directly to improve health and well-being (e.g., pharmaceutical companies, healthcare providers, or manufacturers of medical equipment), but also, for example, businesses involved in health education, mental health services, and wellness initiatives. Thus, players from sectors such as healthcare, biotechnology, fitness, and mental health care are considered. Moreover, WebAI also identifies companies that specialize in developing health technologies, such as telemedicine or wearable health devices, organizations that focus on health-related research, or those involved in providing access to clean water and sanitation, which are crucial for maintaining good health. Our webAI reads the website of the company under investigation and searches for text sections (paragraphs) that deal with the topic of SDG 3. To do this, webAI first searches for keywords that are potentially related to SDG 3, analyzes the paragraphs identified in this way, and determines whether or not they are actually relevant texts. If webAI has assigned a corresponding paragraph to the topic of SDG 3 with a high probability, webAI remembers this paragraph and continues searching. In this way, webAI searches the entire company website or the particularly relevant “top-level” sub-pages if it is a very extensive website with hundreds of sub-pages. In this way, webAI finds a certain number of paragraphs per company website that deal with the topic of SDG 3. WebAI then puts this number in relation to the total amount of text content read on the website. In this way, webAI determines a SDG 3 intensity for each company. The SDG 3 Intensity Score calculated in this way would be 0.0 for a company with no SDG 3-related texts. For a consulting company, for example, the value could be 0.21, and for a startup that is particularly focused on SDG 3-related topics, it could be 2.81. The SDG 3 Intensity Score has no upper limit. In addition, we integrate an auxiliary column into our data as an interpretation and reading aid. It categorizes the intensities from “low” to “very high”. In the example above, the consulting company would be classified as “low” intensity and the startup as “very high” intensity. Unlike simpler, binary classifications (“SDG 3 YES/NO”), webAI therefore outputs a continuous score at company level. This makes it possible to distinguish between companies for which SDG 3-related topics are only a marginal issue and those for which they play a central role. Users of webAI data can thus easily determine for themselves how strongly a company should focus on SDG 3 in order for it to be relevant to them. Like all our webAI agents, the webAI SDG3 Agent was developed and validated together with independent subject matter experts. This ensures that we train the webAI agent with real expert knowledge and that it then delivers expert-level results. The SDG3 Intensity Scores are currently also being validated in a not yet published study. # Social innovation Source: https://docs.istari.ai/research-data/social-innovation Find socially innovative companies. The webAI Social Innovation agent was trained by ISTARI.AI to derive from companies’ websites their engagement in social innovation and to map it as an individual Social InnoProb Score. This indicator, ranging from 0.0 to 1.0, reflects the likelihood that a company is a social innovator. Social innovations are innovations that improve human interaction in many areas, for example, how people work, organize their leisure time, shop, live or how they are mobile. However, unlike product innovations, there is still no internationally standardized definition of social innovations. We at ISTARI.AI follow the current working definition as it is currently being elaborated by [OECD](https://www.oecd.org/) and [Eurostat](https://ec.europa.eu/eurostat/web/main/home): Social innovation also described as the emergence, implementation and diffusion of new social practices in the societal domain that are directly related to the search for viable and sustainable solutions to societal problems and challenges. If a company has introduced such a social innovation in the last three years through changes in the company or brought it to market as a new or improved product or service, then it is considered a social innovator. Websites are used by companies as platforms to provide information about their products and services, performance, strategies and relationships. All these aspects can be associated with the social innovations developed by the company. The Social InnoProb Score is not intended to identify individual innovations (e.g. new products), but companies with an innovation-related activity profile. This probability can be interpreted as a continuous innovation indicator at the company level. We use a traditional company-level indicator based on a questionnaire-based innovation survey (Community Innovation Survey Germany) to train webAI with the websites of socially innovative and non-innovative companies. In doing so, we use survey waves from several years to identify companies that answered positively to questions related to social innovation. Examples of such questions are the cooperation of the company with associations, the introduction of new methods of work organization or the promotion of togetherness and family atmosphere in the company. During this training webAI learns independently how the websites of socially innovative and non-innovative companies differ. After the training, we can then apply webAI to any other company website. Based on the textual content, webAI then calculates how likely it is that the company under investigation is innovative. The Social InnoProb score calculated in this way would be close to 0.0 for a company that is very unlikely to be a socially innovative company. A very likely socially innovative company, on the other hand, would have a Social InnoProb score close to 1.0. In addition, we integrate an auxiliary column into our data as an interpretation and reading aid. It categorizes the probabilities of being an innovative company from “very low” to “very high”. Thus, unlike simpler, binary classifications (“innovative YES/NO”), webAI outputs a continuous score at the company level. Users of webAI data can thus easily determine for themselves the probability with which a company should be socially innovative in order to be relevant to them. For the binary classification into socially innovative and non-innovative companies, we recommend a classification threshold of 0.5. As an example for the DACH region (Germany, Austria, Switzerland), we can say that 24.35% of the analyzed companies are rated as socially innovative by webAI Social InnoProb (Social InnoProb Score > 0.5). The average Social InnoProb score of all companies is 0.44. Half of the companies have a score of more than 0.41. The highest score achieved is 0.85 and the lowest is 0.14. The figure below shows the distribution of the Social InnoProb score for the DACH region. Like all our webAI agents, the webAI Social InnoProb agent was developed and validated together with independent subject matter experts. This ensures that we train the webAI agent with real expert knowledge and that it subsequently generates expert-level results. For this agent, ISTARI.AI collaborated with [ZEW – Leibniz Centre for European Economic Research in Mannheim](https://www.zew.de/en/). The ZEW is one of the leading German economic research institutes with a high European reputation. # Social media Source: https://docs.istari.ai/research-data/social-media Find social media presences of companies Many companies have presences on various social media platforms (e.g. LinkedIn, Twitter/X). We collect the links on the respective company websites that lead to these social media accounts. This makes it easier for you to contact companies or even individuals. We collect the following information: * **all\_linkedin\_profiles**: all LinkedIn user profiles that exist in the company text. These links should point to employees of the company or partners. * **all\_linkedin\_companies**: In LinkedIn, we can separate between a company profile and a “user” profile. This indicator collects the company profile links. This should point to the company itself or related companies, e.g. partners. * **all\_twitter\_links**: This indicator collects the links to Twitter/X profiles. * **all\_facebook\_links**: This column includes all links to Facebook profiles. # Standards Source: https://docs.istari.ai/research-data/standards Find companies with standards and certifications. The webAI Standards Agent has been trained by ISTARI.AI to search companies’ websites for standards and certifications. These are standards from the International Organization for Standardization (ISO), the International Electrotechnical Commission (IEC) and national standardization organizations such as the German Institute for Standardization (DIN). Well-known and widely used standards include paper formats (ISO 216, DIN 476) such as DIN A4, the quality management standards of the ISO 9000 family (e.g. ISO 9001) or the information security management standard ISO/IEC 27001. Our webAI reads the website of the company under investigation and searches it for mentions of ISO, IEC and standards issued by other organizations. For this purpose, webAI examines the entire company website, or the particularly relevant “top-level” sub-webpages if the website is very large and contains hundreds of sub-webpages (for more information, see the publication: [Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study](https://doi.org/10.1007/s11192-020-03726-9)). WebAI thus finds a certain number of standard mentions per company website and returns them as a list (e.g. \[DIN EN ISO 9001, DIN EN ISO 50001, ISO 9001:2…]). From the lists of found standards generated by the webAI Standards Agent, specific standards (e.g. “ISO 9001:2000”) can be determined as well as the number of mentions of a specific standard (e.g. “‘DIN EN 16247-1’: 68, ‘DIN EN ISO 50001’: 34”).\ As an example for the DACH region (Germany, Austria, Switzerland), it can be said that about 10% of the companies surveyed mention at least one standard on their website. On average, these companies mention one standard 8.7 times (median 2.0) and different standards 2.6 times (median 1.0). The most frequently listed standards in the DACH region are, by a wide margin, ISO 9001, followed by ISO 14001 and ISO 27001. It is important to note here that our approach does not differentiate whether companies are actually certified or name a standard for other reasons (e.g., because they work with certified companies). Specifically for the ISO/IEC 27001 standard, a detailed manual review (for more information, see the publication: [Exploring the Adoption of the International Information Security Management System Standard ISO/IEC 27001: A Web Mining-Based Analysis](https://ieeexplore.ieee.org/abstract/document/9082865)) of webAI identified companies yielded the following result regarding the reason for citation: Like all of our webAI agents, the webAI Delivery Delay Agent has been developed and validated in conjunction with independent subject matter experts. This ensures that we train the webAI agent with real expert knowledge and that it then generates expert-level results. For this agent, ISTARI.AI collaborated with researchers from the Technical University of Berlin. Among other things, the generated data was used for the study [Exploring the Adoption of the International Information Security Management System Standard ISO/IEC 27001: A Web Mining-Based Analysis](https://ieeexplore.ieee.org/abstract/document/9082865), which was published in the journal IEEE Transactions on Engineering Management. # Sustainability Source: https://docs.istari.ai/research-data/sustainability Find companies that are engaged in sustainability. The webAI Sustainability Agent was trained by ISTARI.AI to derive from the websites of companies their commitment in the area of sustainability and to depict it as an individual Sustainability Intensity Score. This numerical indicator reflects how centrally the topic of sustainability is communicated by the company on its own website and presented as essential for its own business model. In this sense, sustainability is to be understood as “ecological sustainability”. This therefore refers to concepts such as circular economy, the energy transition, ecological agriculture, regenerative energy, efficient use of resources, reduction of emissions or recycling. Companies that are active in these or related subject areas, have business fields geared to them, or offer products and services with a direct connection, usually communicate this on their websites. The more central this topic is for the company, the more significant it is for the company’s external communications. For example, a startup for compostable ballpoint pens communicates almost exclusively on the topic of sustainability, while a consulting company that offers “ESG consulting” among many other topics does so only to a limited extent. Our webAI reads the website of the company under investigation and searches it for text sections (paragraphs) that deal with the topic of sustainability. To do this, webAI first searches for keywords potentially related to sustainability, analyzes the paragraphs identified in this way, and in doing so determines whether or not they are actually sustainability-related texts. If webAI has assigned a corresponding paragraph to the topic of sustainability with a high probability, webAI remembers this paragraph and continues searching. In this way, webAI searches the entire company website, or the particularly relevant “top-level” sub-webpages if it is a very extensive website with hundreds of sub-webpages (for more information, see the publication: [Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study](https://link.springer.com/article/10.1007/s11192-020-03726-9)). WebAI thus finds a certain number of paragraphs per company website that deal with the topic of sustainability. WebAI then relates this number to the total amount of text content read on the website. In this way, webAI determines a Sustainability Intensity for each company. The Sustainability Intensity Score calculated in this way would be 0.0 for a company with no sustainability-related texts. For the example of a consulting company described above, on the other hand, the value could be 0.25, and for the startup that is particularly focused on sustainability, it could be 2.37. The Sustainability Intensity Score has no upper limit. In addition, we integrate an auxiliary column into our data as an interpretation and reading aid. It categorizes the intensities from “low” to “very high”. In the example above, the consulting company would be classified as “low” intensity and the startup as “very high” intensity. Unlike simpler, binary classifications (“sustainable YES/NO”), webAI therefore outputs a continuous score at company level. This makes it possible to distinguish between companies for which sustainability is only a marginal issue and those for which it plays a central role. Users of webAI data can thus easily determine for themselves how strongly a company should focus on sustainability in order for it to be relevant to them. As an example for the DACH region (Germany, Austria, Switzerland), it can be said that 17.5% of the companies examined have a Sustainability Intensity Score of greater than 0.0 and thus communicate the topic of sustainability in some form on their websites. The average Sustainability Intensity Score of these companies is 0.53 and half of the companies have a score smaller than 0.28. The maximum score achieved is 6.94, with only 2.88% achieving a score of 1.0 or higher. Like all our webAI agents, the webAI Sustainability Agent has been developed and validated together with independent subject matter experts. This ensures that we train the webAI agent with real expert knowledge and that it then generates expert-level results. For this agent, ISTARI.AI collaborated with the OECD’s Centre for Entrepreneurship, SMEs, Regions & Cities. The OECD is an international organization with 38 member states and nearly sixty years of experience in analyzing political, economic and social developments. Our Sustainability Intensity Scores were also validated in a study on “[Greenwashing in the U.S. Metals Industry](https://www.sciencedirect.com/science/article/pii/S0048969722026080)” published by researchers from the University of Salzburg, University of Heidelberg, Harvard University and the University of Giessen in the prestigious journal Science of The Total Environment. # Website TechStack Source: https://docs.istari.ai/research-data/website-techstack See the technical framework of company websites. The webAI TechStack agent has been trained by ISTARI.AI to examine enterprise websites in terms of their “technology stack”. A website’s technology stack includes the technologies, applications, and services used to build and operate the website. webAI TechStack thus provides insights into the security, modernity, and performance of a website. In total, nearly 4,000 technologies from approximately 100 categories are identified. Our webAI calls up the website of the company under investigation and analyzes the technology stack used there. WebAI thus finds technologies assigned to categories for each corporate website. Thus, a corporate website can also use several technologies from one category, as seen in this example: *‘CMS (WordPress)’, ‘Blogs (WordPress)’, ‘Databases (MySQL)’, ‘Programming languages (PHP)’, ‘WordPress themes (FameThemes OnePress)’, ‘UI frameworks (animate.css)’, ‘UI frameworks (Bootstrap)’, ‘Web servers (Apache)’, ‘A/B Testing (Complianz)’, ‘Cookie compliance (Complianz)’, ‘WordPress plugins (Complianz)’, ‘Font scripts (Google Font API)’, ‘Font scripts (Font Awesome)’, ‘Font scripts (Twitter Emoji (Twemoji))’, ‘JavaScript libraries (jQuery Migrate)’, ‘JavaScript libraries (jQuery)’* From the lists of found technologies generated by the webAI TechStack Agent, both specific technologies (e.g. “PayPal”, “Apple Pay”) and the superordinate categories (e.g. “Payment processors”) can be determined. For the DACH region, for example, it is possible to find out that around 24,500 of the 28,000 companies that have integrated a technology from the “Payment Processors” category into their technology stack use PayPal. Like all our webAI agents, the webAI TechStack agent has been validated together with independent subject matter experts. For this agent, ISTARI.AI collaborated with researchers from the Technical University of Munich, who also used information on cryptocurrency payment processors (e.g. Bitcoin) from the TechStack agent in a study on the use of blockchain technologies. The associated study will soon be published as a discussion paper. ## TechStack categories
CategoryNumber of technologies
Add-ons
  • Shopify apps 135
  • WordPress plugins 125
  • WordPress themes 134
Analytics
  • A/B Testing 37
  • Analytics 187
  • Browser fingerprinting 5
  • Customer data platform 31
  • Surveys 17
  • Tag managers 11
Booking
  • Appointment scheduling 43
  • Reservations & delivery 30
  • Ticket booking 1
Business Tools
  • Accounting 2
  • CRM 34
  • Live chat 93
  • Recruitment & staffing 18
Communication
  • Email 36
  • Live chat 93
  • Message boards 29
  • Remote access 4
  • Webmail 10
Content
  • Blogs 28
  • CMS 286
  • Comment systems 5
  • DMS 4
  • Documentation 26
  • Feed readers 1
  • Issue trackers 54
  • LMS 13
  • Message boards 29
  • Photo galleries 15
  • Rich text editors 11
  • Search engines 36
  • Translation 12
  • Wikis 12
Location
  • Geolocation 13
  • Maps 16
Marketing
  • Advertising 139
  • Affiliate programs 39
  • CRM 34
  • Content curation 14
  • Customer data platform 31
  • Email 36
  • Marketing automation 128
  • Personalisation 90
  • RUM 27
  • Referral marketing 15
  • Retargeting 14
  • Reviews 34
  • SEO 10
  • Segmentation 7
Media
  • Augmented reality 9
  • Digital asset management 21
  • Livestreaming 12
  • Network storage 4
  • Photo galleries 15
  • Video players 23
Privacy
  • Cookie compliance 49
Sales
  • Buy now pay later 54
  • Cart abandonment 10
  • Cross border ecommerce 12
  • Ecommerce 332
  • Fulfilment 5
  • Livestreaming 12
  • Loyalty & rewards 17
  • Payment processors 96
  • Referral marketing 15
  • Returns 10
  • Shipping carriers 62
Security
  • Authentication 21
  • SSL/TLS certificate authorities 5
  • Security 50
Servers
  • CDN 48
  • Caching 13
  • Containers 2
  • Databases 14
  • Hosting 53
  • Hosting panels 9
  • IaaS 5
  • Load balancers 4
  • Operating systems 17
  • PaaS 44
  • Performance 42
  • Reverse proxies 5
  • Web server extensions 14
  • Web servers 84
User generated content
  • Comment systems 5
  • Content curation 14
  • Issue trackers 54
  • Message boards 29
  • Reviews 34
Utilities
  • Cryptominers 8
  • Database managers 5
  • Hosting panels 9
Web Development
  • Accessibility 25
  • CI 3
  • Development 30
  • Editors 18
  • Feature management 3
  • Font scripts 15
  • JavaScript frameworks 69
  • JavaScript graphics 41
  • JavaScript libraries 110
  • Mobile frameworks 7
  • Page builders 72
  • Programming languages 26
  • Static site generator 17
  • UI frameworks 43
  • Web frameworks 80
Other
  • Miscellaneous 86
  • Recruitment & staffing 18
  • User onboarding 11
  • Widgets 114
## TechStack technologies Excel file listing every technology category in the webAI TechStack dataset.
Category (Technology)Number of firms
A/B Testing (AB Tasty)1528
A/B Testing (Adobe Target)6437
A/B Testing (Autopilot)1072
A/B Testing (Bloomreach Discovery)428
A/B Testing (BrightInfo)15
A/B Testing (Complianz)166797
A/B Testing (Contentsquare)1190
A/B Testing (Convert)5085
A/B Testing (ConvertFlow)686
A/B Testing (Decibel)433
A/B Testing (Dynamic Yield)1272
A/B Testing (Estore Compare)29
A/B Testing (Etracker)6026
A/B Testing (Freshworks CRM)989
A/B Testing (Frosmo)93
A/B Testing (Google Optimize)29473
A/B Testing (Instapage)194
A/B Testing (Juo)6
A/B Testing (Kameleoon)1040
A/B Testing (Kibo Personalization)719
A/B Testing (Leaflet platform)13
A/B Testing (Leanplum)15
A/B Testing (Neat A/B testing)8
A/B Testing (Nosto)976
A/B Testing (Omniconvert)304
A/B Testing (OneSignal)8427
A/B Testing (Optimizely)19115
A/B Testing (Oracle Maxymiser)312
A/B Testing (Qubit)57
A/B Testing (Roistat)121
A/B Testing (SiteSpect)3642
A/B Testing (Split)27
A/B Testing (Talkable)331
A/B Testing (Trbo)151
A/B Testing (UserZoom)85
A/B Testing (VWO)14252
A/B Testing (Yottaa)614
A/B Testing (Zoho PageSense)3503
Accessibility (AccessiBe)9342
Accessibility (Accessibility Toolbar Plugin)219
Accessibility (Accessible360)574
Accessibility (Accessibly)232
Accessibility (AdaSiteCompliance)108
Accessibility (Adally)157
Accessibility (Allyable)47
Accessibility (AudioEye)58519
Accessibility (Droxit)1
Accessibility (Enable)280
Accessibility (EqualWeb)3843
Accessibility (Facil-iti)43
Accessibility (Handtalk)2
Accessibility (HikeOrders)516
Accessibility (Monsido)2616
Accessibility (Nagich)3189
Accessibility (NagishLi)91
Accessibility (Piman)2
Accessibility (Pojo.me)27720
Accessibility (Recite Me)123
Accessibility (Texthelp)9
Accessibility (UsableNet)259
Accessibility (User Accessibility)21
Accessibility (UserWay)81065
Accessibility (eSSENTIAL Accessibility)472
Accessibility (uRemediate)63
Accounting (Akaunting)3
Advertising (33Across)1661
Advertising (AD EBiS)56
Advertising (ADFOX)227
Advertising (AcuityAds)555
Advertising (Ad Lightning)534
Advertising (AdBridg)57
Advertising (AdOcean)404
Advertising (AdRecover)37
Advertising (AdRiver)35
Advertising (AdRoll)24410
Advertising (AdScale)203
Advertising (AdThrive)887
Advertising (Adalyser)253
Advertising (Adcash)1
Advertising (Adform)5610
Advertising (Adloox)10
Advertising (Admixer)29
Advertising (Admo.tv)118
Advertising (Advally)24
Advertising (Advert Stream)15
Advertising (Adverticum)208
Advertising (Affiliate B)59
Advertising (Amazon Advertising)11379
Advertising (Amobee)530
Advertising (Aniview Ad Server)34
Advertising (AnyClip)10
Advertising (AppNexus)32709
Advertising (Audiohook)110
Advertising (Automatad)35
Advertising (Basis Technologies)1296
Advertising (Beeswax)1
Advertising (Broadstreet)3050
Advertising (BuySellAds)259
Advertising (Carbon Ads)57
Advertising (Chitika)20
Advertising (Cluep)22
Advertising (Criteo)19775
Advertising (DTScout)2036
Advertising (Dealer Spike)2010
Advertising (Dianomi)48
Advertising (District M)13
Advertising (DoubleClick Ad Exchange (AdX))9947
Advertising (DoubleClick Campaign Manager (DCM))300
Advertising (DoubleClick Floodlight)105
Advertising (DoubleClick for Publishers (DFP))9233
Advertising (DoubleVerify)121
Advertising (EthicalAds)14
Advertising (ExoClick)86
Advertising (Ezoic)1519
Advertising (FirstImpression.io)24
Advertising (FreakOut)61
Advertising (Fusion Ads)3
Advertising (Geniee)5
Advertising (Getintent)4
Advertising (Google AdSense)98680
Advertising (Google Ads)284053
Advertising (Google Publisher Tag)26772
Advertising (GumGum)170
Advertising (Index Exchange)496
Advertising (Infolinks)632
Advertising (Integral Ad Science)610
Advertising (Internet Brands)19
Advertising (JuicyAds)40
Advertising (Kevel)476
Advertising (Linkedin Ads)56761
Advertising (LiveIntent)6963
Advertising (LiveRamp DPM)156
Advertising (MGID)148
Advertising (MainAd)85
Advertising (Marfeel)422
Advertising (Media.net)7724
Advertising (Mediavine)1376
Advertising (Microsoft Advertising)105987
Advertising (Nativo)552
Advertising (Nextdoor Ads)1880
Advertising (Open AdStream)105
Advertising (OpenWeb)61
Advertising (OpenX)9091
Advertising (Optimise)60
Advertising (Outbrain)7756
Advertising (Pinterest Ads)50434
Advertising (Podsights)700
Advertising (Prebid)9102
Advertising (Primis)63
Advertising (Project Wonderful)51
Advertising (PubGuru)31
Advertising (PubMatic)9832
Advertising (PurpleAds)40
Advertising (Rakuten Advertising)1126
Advertising (Reddit Ads)7820
Advertising (Refersion)3276
Advertising (RevJet)2
Advertising (Rubicon Project)2099
Advertising (SHE Media)215
Advertising (STN Video)433
Advertising (SabaVision)3
Advertising (Sharethrough)117
Advertising (Simpli.fi)25509
Advertising (Sizmek)2204
Advertising (Smart Ad Server)5354
Advertising (Snap Pixel)2622
Advertising (Solve Media)1
Advertising (Sonobi)172
Advertising (Sortable)66
Advertising (Sovrn)1017
Advertising (SpotX)171
Advertising (Sublime)92
Advertising (TVSquared)4706
Advertising (Taboola)8931
Advertising (Tapad)75
Advertising (Tatari)141
Advertising (Teads)5985
Advertising (The Arena Group)83
Advertising (Titan)30
Advertising (TrafficStars)10
Advertising (TripleLift)485
Advertising (Twitter Ads)152928
Advertising (Unruly)39
Advertising (VDX.tv)295
Advertising (Veoxa)2
Advertising (Verizon Media)11
Advertising (VerticalScope)8
Advertising (Vidazoo)16
Advertising (Wazimo)33
Advertising (WordAds)7895
Advertising (Yahoo Advertising)344
Advertising (Yandex.Direct)22
Advertising (Yektanet)20
Advertising (Yieldlab)9
Advertising (Zanox)41
Advertising (Zeus Technology)5
Advertising (i-mobile)10
Advertising (snigel AdEngine)38
Advertising (theTradeDesk)23987
Affiliate programs (A8.net)242
Affiliate programs (AWIN)7796
Affiliate programs (AccessTrade)36
Affiliate programs (Admitad)128
Affiliate programs (Affilae)350
Affiliate programs (Affiliate B)59
Affiliate programs (Affiliate Future)195
Affiliate programs (Affiliatly)1385
Affiliate programs (Affilo)108
Affiliate programs (Amazon Associates)4190
Affiliate programs (Booking.com)672
Affiliate programs (CPABuild)2
Affiliate programs (Clickbank)296
Affiliate programs (Digistore24)398
Affiliate programs (Dovetale)4
Affiliate programs (Duel)34
Affiliate programs (FinanceAds)57
Affiliate programs (FirstPromoter)296
Affiliate programs (GoAffPro)3669
Affiliate programs (Impact)2949
Affiliate programs (JANet)2
Affiliate programs (LinkMink)20
Affiliate programs (Moshimo)525
Affiliate programs (Narrativ)39
Affiliate programs (Optimise)60
Affiliate programs (Partnerize)498
Affiliate programs (PayKickStart)25
Affiliate programs (Pepperjam)517
Affiliate programs (Post Affiliate Pro)1057
Affiliate programs (Pretty Links)6
Affiliate programs (Rakuten)1251
Affiliate programs (Refersion)3276
Affiliate programs (RevenueHunt)1673
Affiliate programs (Rewardful)243
Affiliate programs (ShoutOut)157
Affiliate programs (Skimlinks)1008
Affiliate programs (Sovrn//Commerce)5055
Affiliate programs (Tapfiliate)617
Affiliate programs (Tiqets)83
Affiliate programs (Tolt)11
Affiliate programs (Tradedoubler)507
Affiliate programs (Upfluence)23
Affiliate programs (ValueCommerce)102
Affiliate programs (Webgains)671
Affiliate programs (Webolytics)2
Affiliate programs (eBay Partner Network)133
Analytics (51.LA)5325
Analytics (AT Internet Analyzer)3850
Analytics (AT Internet XiTi)156
Analytics (AWStats)1
Analytics (Ackee)78
Analytics (Acoustic Experience Analytics)93
Analytics (Acquia Personalization)327
Analytics (AddShoppers)1121
Analytics (Adjust)1847
Analytics (Adobe Analytics)69170
Analytics (Ahoy)2172
Analytics (Ahrefs)16602
Analytics (Air360)9
Analytics (Airship)16
Analytics (Albacross)3131
Analytics (Alexa Certified Site Metrics)2361
Analytics (Amplitude)4693
Analytics (Analysys Ark)2
Analytics (AppDynamics)998
Analytics (Appsflyer)391
Analytics (Auryc)200
Analytics (Avanser)171
Analytics (Azure Monitor)5201
Analytics (Baidu Analytics (百度统计))52748
Analytics (Blueshift)166
Analytics (Branch)1720
Analytics (Braze)299
Analytics (BugSnag)5576
Analytics (CNZZ)1868
Analytics (CallRail)37520
Analytics (CallTrackingMetrics)43
Analytics (ChannelAdvisor)133
Analytics (Chartbeat)2204
Analytics (ClearSale)51
Analytics (Clearbit Reveal)99
Analytics (CleverTap)98
Analytics (ClickHeat)213
Analytics (ClickTale)254
Analytics (Clicky)12598
Analytics (Cloudflare Browser Insights)73601
Analytics (Contentsquare)1190
Analytics (Conversio)283
Analytics (ConvertFlow)686
Analytics (Countly)56
Analytics (Crazy Egg)25585
Analytics (DataMilk)4
Analytics (Datadog)23541
Analytics (Decibel)433
Analytics (Delacon)270
Analytics (Demandbase)1736
Analytics (Dotdigital)998
Analytics (DoubleVerify)121
Analytics (Dreamdata)1192
Analytics (Dynatrace)7276
Analytics (Elastic APM)8012
Analytics (Elevar)908
Analytics (Engagio)37
Analytics (Errorception)64
Analytics (Etracker)6026
Analytics (Everflow)231
Analytics (ExactMetrics)50907
Analytics (Ezoic)1519
Analytics (Facebook Pixel)809090
Analytics (Fathom)8233
Analytics (Freespee)400
Analytics (FullContact)46
Analytics (FullStory)4994
Analytics (Gauges)5758
Analytics (Gemius)2252
Analytics (GetSocial)595
Analytics (Glassbox)96
Analytics (GoStats)9
Analytics (GoatCounter)164
Analytics (Google Ads Conversion Tracking)284053
Analytics (Google Analytics Enhanced eCommerce)123888
Analytics (Google Analytics)4586913
Analytics (Google Call Conversion Tracking)61217
Analytics (Grafana)1
Analytics (GrowingIO)20
Analytics (Heap)3943
Analytics (Histats)12358
Analytics (HockeyStack)494
Analytics (Hotjar)168650
Analytics (HubSpot Analytics)96583
Analytics (Hubalz)16
Analytics (Hyros)938
Analytics (IBM Coremetrics)6
Analytics (INFOnline)172
Analytics (InMoment)74
Analytics (Inspectlet)2925
Analytics (Instabot)170
Analytics (Instana)398
Analytics (Instapage)194
Analytics (Invoca)10009
Analytics (Jirafe)10
Analytics (KISSmetrics)110
Analytics (Koala)61
Analytics (Kount)53
Analytics (Kwai pixel)2
Analytics (Leadfeeder)18178
Analytics (Leadinfo)9360
Analytics (Lexity)585
Analytics (LinkMink)20
Analytics (Linkedin Insight Tag)153989
Analytics (LiveSession)71
Analytics (Liveinternet)1699
Analytics (LogRocket)1028
Analytics (Loggly)273
Analytics (Lucky Orange)5231
Analytics (Luigi’s Box)922
Analytics (Mapp)531
Analytics (Marchex)9527
Analytics (Marfeel)422
Analytics (Matomo Analytics)334346
Analytics (Measured)15
Analytics (Medallia)867
Analytics (Metrilo)178
Analytics (Microsoft Clarity)87232
Analytics (Mint)191
Analytics (Mixpanel)6260
Analytics (MoEngage)90
Analytics (Moat)1101
Analytics (Monsido)2616
Analytics (MonsterInsights)191786
Analytics (Mouse Flow)9915
Analytics (Navegg)81
Analytics (Naver Analytics)1578
Analytics (OneStat)286
Analytics (Open Web Analytics)1275
Analytics (Oracle Infinity)182
Analytics (Oracle Recommendations On Demand)116
Analytics (Panelbear)27
Analytics (Parse.ly)1473
Analytics (PayPal Marketing Solutions)23629
Analytics (Pendo)3628
Analytics (Peripl)14
Analytics (Pinterest Conversion Tag)57908
Analytics (Piwik PRO Core)14501
Analytics (PixelYourSite)48184
Analytics (Plausible)32108
Analytics (PostHog)868
Analytics (Profitwell)541
Analytics (Quanta)21
Analytics (Quantcast Measure)15211
Analytics (Quantum Metric)635
Analytics (Quora Pixel)5248
Analytics (Reinvigorate)2
Analytics (Riskified)624
Analytics (Roistat)121
Analytics (SalesReps.io)110
Analytics (SegmentStream)1
Analytics (Sensors Data)1111
Analytics (ShinyStat)7001
Analytics (Sift)526
Analytics (Signifyd)1271
Analytics (Simple Analytics)1069
Analytics (Sirge)12
Analytics (Site Kit)351635
Analytics (Site Meter)1237
Analytics (SiteVibes)21
Analytics (Siteimprove)7497
Analytics (Skai)14252
Analytics (Smartlook)9930
Analytics (Snoobi)950
Analytics (Snowplow Analytics)294880
Analytics (Spinnakr)3
Analytics (Splitbee)118
Analytics (Sprig)50
Analytics (Statcounter)88695
Analytics (Statsig)16
Analytics (Swagify)8
Analytics (Syndeca)4
Analytics (Synerise)54
Analytics (Tencent Analytics (腾讯分析))16
Analytics (The Hotels Network)2049
Analytics (Thesis)2
Analytics (TikTok Pixel)41681
Analytics (Tinybird)10
Analytics (TrackJs)756
Analytics (Trackify X)325
Analytics (Triggerbee)216
Analytics (Triple Whale)2559
Analytics (Twitter Analytics)18
Analytics (Umami)1899
Analytics (UserZoom)85
Analytics (VK Pixel)567
Analytics (VWO)14252
Analytics (Ve Global)1
Analytics (Vercel Analytics)893
Analytics (W3Counter)428
Analytics (WP-Statistics)12069
Analytics (Webeyez)32
Analytics (Webolytics)2
Analytics (Webtrends)276
Analytics (WildJar)210
Analytics (Woopra)1075
Analytics (Yahoo! Web Analytics)14
Analytics (Yandex.Metrika)13282
Analytics (Zipkin)3344
Analytics (Zoominfo)8828
Analytics (comScore)9690
Analytics (ip-label)17
Analytics (uMarketingSuite)77
Analytics (user.com)3
Appointment scheduling (Accesso)195
Appointment scheduling (Acuity Scheduling)3143
Appointment scheduling (AddEvent)687
Appointment scheduling (Appointy)164
Appointment scheduling (Bokun)16
Appointment scheduling (BookThatApp)1029
Appointment scheduling (Bookeo)1023
Appointment scheduling (Bookero)79
Appointment scheduling (Bookingkit)1
Appointment scheduling (Bookly)7299
Appointment scheduling (Booksy)241
Appointment scheduling (Booxi)111
Appointment scheduling (Calendly)72774
Appointment scheduling (Checkfront)121
Appointment scheduling (Chili Piper)376
Appointment scheduling (Cloudbeds)993
Appointment scheduling (CoconutSoftware)1
Appointment scheduling (EventOn)8901
Appointment scheduling (Eveve)12
Appointment scheduling (FareHarbor)5681
Appointment scheduling (GetYourGuide)556
Appointment scheduling (Hostmeapp)33
Appointment scheduling (Mangeznotez)2
Appointment scheduling (Meeting Scheduler)13
Appointment scheduling (Mews)614
Appointment scheduling (MindBody)1387
Appointment scheduling (Occasion)60
Appointment scheduling (Peek)1155
Appointment scheduling (Periodic)92
Appointment scheduling (Regiondo)125
Appointment scheduling (Reservio)499
Appointment scheduling (Resova)89
Appointment scheduling (Rezdy)107
Appointment scheduling (Rezgo)1
Appointment scheduling (Setmore)453
Appointment scheduling (SevenRooms)236
Appointment scheduling (SiteMinder)552
Appointment scheduling (Timify)362
Appointment scheduling (Trumba)248
Appointment scheduling (X.ai)2
Appointment scheduling (Zocdoc)2820
Appointment scheduling (vcita)2396
Augmented reality (\)372
Augmented reality (Expivi)34
Augmented reality (Luna)22
Augmented reality (ModiFace)3
Augmented reality (Ocuco FitMix)89
Augmented reality (Virtooal)63
Augmented reality (YouCam Makeup)14
Augmented reality (mirrAR)3
Authentication (Apple Sign-in)847
Authentication (Auth0 Lock)46
Authentication (Auth0)275
Authentication (Azure AD B2C)9
Authentication (Clerk)6
Authentication (Facebook Login)519550
Authentication (GetSocial)595
Authentication (Google Sign-in)56870
Authentication (Growave)1209
Authentication (LINE Login)3
Authentication (Linkedin Sign-in)16085
Authentication (Login with Amazon)1554
Authentication (LoginRadius)189
Authentication (Microsoft Authentication)322
Authentication (NextAuth.js)35
Authentication (Okta)129
Authentication (OneAll)653
Authentication (Onfido)12
Authentication (Oxi Social Login)706
Authentication (SAP Customer Data Cloud Sign-in)700
Authentication (SimpleSAMLphp)118
Authentication (Super Socializer)1981
Authentication (Twilio Authy)7
Authentication (uLogin)18
Blogs (Blogger)7005
Blogs (BoldGrid)3729
Blogs (ContentBox)26
Blogs (DropInBlog)192
Blogs (Ghost)1085
Blogs (Halo)5
Blogs (Hashnode)28
Blogs (Hatena Blog)12
Blogs (LiveJournal)1
Blogs (Medium)163
Blogs (Melis Platform)6
Blogs (Mura CMS)551
Blogs (PencilBlue)6
Blogs (Posterous)2
Blogs (Roadiz CMS)23
Blogs (RockRMS)169
Blogs (Serendipity)35
Blogs (Substack)111
Blogs (Svbtle)8
Blogs (Tiki Wiki CMS Groupware)154
Blogs (Tumblr)1731
Blogs (TypePad)302
Blogs (Typecho)6
Blogs (Wix)631828
Blogs (WordPress)4495042
Blogs (Zinnia)1
Browser fingerprinting (ClientJS)646
Browser fingerprinting (FingerprintJS)32449
Browser fingerprinting (MaxMind)1520
Browser fingerprinting (ThreatMetrix)70
Browser fingerprinting (TruValidate)995
Buy now pay later (Affirm)3446
Buy now pay later (Afterpay)4344
Buy now pay later (Aplazame)398
Buy now pay later (Atome)46
Buy now pay later (Bread)39
Buy now pay later (Cashew Payments)1
Buy now pay later (ChargeAfter)14
Buy now pay later (DivideBuy)51
Buy now pay later (Divido)27
Buy now pay later (Four)161
Buy now pay later (Grab Pay Later)13
Buy now pay later (Humm)8
Buy now pay later (Klarna Checkout)14888
Buy now pay later (KueskiPay)8
Buy now pay later (LatitudePay)9
Buy now pay later (LayBuy)281
Buy now pay later (Mokka)4
Buy now pay later (Oney)13
Buy now pay later (OpenPay)12
Buy now pay later (Pace)4
Buy now pay later (Partial.ly)10
Buy now pay later (Pay It Later)2
Buy now pay later (PayBright)3
Buy now pay later (PayJustNow)27
Buy now pay later (PayPal Credit)13209
Buy now pay later (Payflex)5
Buy now pay later (Payl8r)25
Buy now pay later (Postpay)3
Buy now pay later (Scalapay)740
Buy now pay later (SeQura)514
Buy now pay later (Sezzle)2678
Buy now pay later (Shop Pay Installments)5
Buy now pay later (Soisy)164
Buy now pay later (SplitIt)52
Buy now pay later (Stage Try)1
Buy now pay later (Tabby)342
Buy now pay later (Tamara)5
Buy now pay later (TryNow)2
Buy now pay later (ViaBill)919
Buy now pay later (ZestMoney)4
Buy now pay later (Zip)699
Buy now pay later (ZoodPay)2
Buy now pay later (hoolah)33
Buy now pay later (mobicred)8
CDN (5centsCDN)7
CDN (Acquia Cloud Platform CDN)267
CDN (Airee)1
CDN (Akamai)54567
CDN (Alibaba Cloud CDN)1814
CDN (Amazon CloudFront)98545
CDN (Amazon S3)180312
CDN (Arc)10
CDN (ArvanCloud)38
CDN (Azion)1
CDN (Azure CDN)2774
CDN (Bunny)51463
CDN (CDN77)78
CDN (CacheFly)2
CDN (Cloudflare)2018562
CDN (Cloudimage)3374
CDN (Cloudinary)30353
CDN (CreateJS)1318
CDN (DERAK.CLOUD)1
CDN (DigitalOcean Spaces)4411
CDN (EdgeCast)238
CDN (Edgio)188
CDN (Fastly)36590
CDN (Fireblade)435
CDN (Gatsby Cloud Image CDN)189
CDN (GoCache)50
CDN (Google Cloud CDN)649114
CDN (Google Hosted Libraries)978222
CDN (GotiPath)1
CDN (Hostinger CDN)10151
CDN (ImageEngine)280
CDN (Imgix)15187
CDN (Incapsula)1
CDN (Microsoft Ajax Content Delivery Network)27313
CDN (Netlify)25720
CDN (Section.io)4107
CDN (StackPath)56368
CDN (Statically)718
CDN (Sucuri)76593
CDN (Tencent Cloud)24
CDN (TwicPics)255
CDN (Unpkg)164314
CDN (Uploadcare)1965
CDN (Yandex.Cloud CDN)8
CDN (cdnjs)783010
CDN (jQuery CDN)388778
CDN (jsDelivr)516434
CI (Jenkins)12
CI (TeamCity)1
CMS (1C-Bitrix)1612
CMS (Adobe Experience Manager)16134
CMS (Ametys)32
CMS (Amiro.CMS)8
CMS (Amplience)215
CMS (Antee IPO)2745
CMS (ApostropheCMS)188
CMS (AquilaCMS)2
CMS (Arc XP)256
CMS (AsciiDoc)6
CMS (Azko CMS)128
CMS (BIGACE)1
CMS (BOOM)1
CMS (Backdrop)3593
CMS (Banshee)2
CMS (Batflat)77
CMS (Bentobox)4374
CMS (Bloomreach)669
CMS (BoldGrid)3729
CMS (Bolt CMS)1805
CMS (Botble CMS)130
CMS (Brightspot)604
CMS (Brownie)30
CMS (BrowserCMS)1
CMS (Builder.io)197
CMS (Business Catalyst)422
CMS (ButterCMS)64
CMS (CMS Made Simple)3850
CMS (CMSimple)1151
CMS (CPG Dragonfly)9
CMS (Chameleon system)17
CMS (Chorus)72
CMS (Ckan)4
CMS (Cloudrexx)1003
CMS (Coaster CMS)38
CMS (Concrete CMS)15775
CMS (Congressus)206
CMS (Contao)35370
CMS (Contenido)1229
CMS (Contensis)121
CMS (ContentBox)26
CMS (Contentful)7068
CMS (Contentstack)446
CMS (CoreMedia Content Cloud)202
CMS (Corebine)4
CMS (Cosmic)32
CMS (Cotonti)2
CMS (CppCMS)1
CMS (Craft CMS)19230
CMS (Cratejoy)40
CMS (CrownPeak)355
CMS (DM Polopoly)96
CMS (DNN)18283
CMS (Danneo CMS)3
CMS (DataLife Engine)139
CMS (DatoCMS)1259
CMS (DedeCMS)74
CMS (Directus)8
CMS (Django CMS)86
CMS (Dotclear)4
CMS (Drupal)124361
CMS (Duda)248238
CMS (Dynamicweb)1729
CMS (E-monsite)952
CMS (ERPNext)52
CMS (Ebasnet)133
CMS (Ektron CMS)150
CMS (Elcom)23
CMS (Eleanor CMS)2
CMS (Essent SiteBuilder Pro)3
CMS (ExpressionEngine)7521
CMS (Flazio)1366
CMS (FlexCMP)89
CMS (Fork CMS)552
CMS (GX WebManager)21
CMS (GetSimple CMS)414
CMS (Ghost)1085
CMS (Gnuboard)301
CMS (GoDaddy Website Builder)201153
CMS (Google My Business)847
CMS (Google Sites)25791
CMS (Graffiti CMS)8
CMS (GraphCMS)18
CMS (Grav)2487
CMS (Green Valley CMS)71
CMS (Griddo)8
CMS (HCL Digital Experience)163
CMS (Halo)5
CMS (Hatena Blog)12
CMS (HubSpot CMS Hub)12268
CMS (ISAY)3
CMS (Ibexa DXP )138
CMS (ImpressCMS)10
CMS (ImpressPages)408
CMS (Indexhibit)274
CMS (InstantCMS)10
CMS (Jahia DX)29
CMS (Jalios)48
CMS (Jimdo)62806
CMS (Joomla)265591
CMS (JouwWeb)14875
CMS (K-Sup)42
CMS (Kentico CMS)10031
CMS (Koala Framework)26
CMS (Koken)242
CMS (Kontent.ai)365
CMS (Kooboo CMS)152
CMS (Kotisivukone)2972
CMS (LEPTON)24
CMS (Lede)6
CMS (Lieferando)2293
CMS (Liferay)3905
CMS (Lithium)2
CMS (Live Story)78
CMS (LiveStreet CMS)2
CMS (LocomotiveCMS)394
CMS (MODX)3491
CMS (Mambo)83
CMS (Marketpath CMS)82
CMS (MaxSite CMS)1
CMS (Megagroup CMS.S3)41
CMS (Melis Platform)6
CMS (MemberStack)485
CMS (Microsoft SharePoint)1957
CMS (Milestone CMS)626
CMS (Moguta.CMS)8
CMS (Mono.net)31023
CMS (MotoCMS)3674
CMS (Movable Type)73
CMS (Mozard Suite)2
CMS (Mura CMS)551
CMS (NationBuilder)724
CMS (Neos CMS)1756
CMS (Nukeviet CMS)16
CMS (October CMS)20642
CMS (Odoo)4934
CMS (Omeka)20
CMS (Omni CMS)419
CMS (Omurga Sistemi)2
CMS (OpenCities)166
CMS (OpenCms)801
CMS (OpenElement)693
CMS (OpenNemas)41
CMS (Optimizely Content Management)3921
CMS (Orchard Core)2381
CMS (PHP-Nuke)52
CMS (PHPFusion)143
CMS (Pagekit)209
CMS (Pagevamp)71
CMS (PencilBlue)6
CMS (Percussion)6
CMS (Phoenix Site)1244
CMS (PhotoShelter)680
CMS (Pimcore)3783
CMS (Pixieset Website)895
CMS (PizzaNetz)4
CMS (PlatformOS)229
CMS (Pligg)1
CMS (Plone)1951
CMS (Popmenu)1
CMS (Posterous)2
CMS (Prepr)24
CMS (Prismic)2676
CMS (ProcessWire)7365
CMS (Proximis Unified Commerce)1
CMS (PubLive)1
CMS (Public CMS)1
CMS (PyroCMS)600
CMS (Quick.CMS)903
CMS (Quintype)28
CMS (RBS Change)11
CMS (RCMS)421
CMS (REDAXO)3
CMS (React Bricks)9
CMS (Reactive)17
CMS (Roadiz CMS)23
CMS (RockRMS)169
CMS (SDL Tridion)488
CMS (SIDEARM Sports)724
CMS (SIMsite)3
CMS (SPIP)2332
CMS (Sanity)2871
CMS (Sapren)1
CMS (Sarka-SPIP)32
CMS (Scorpion)4778
CMS (Scrivito)104
CMS (Serendipity)35
CMS (Shift4Shop)1883
CMS (Shuttle)385
CMS (SilverStripe)5991
CMS (Simplébo)501
CMS (SiteEdit)3
CMS (SiteManager)896
CMS (Sitecore)11132
CMS (Sitefinity)4011
CMS (Siteglide)191
CMS (Sitepark IES)11
CMS (Sitepark InfoSite)3
CMS (Sitevision CMS)974
CMS (Sivuviidakko)3
CMS (Skilldo)125
CMS (Skolengo)3240
CMS (SmartSite)11
CMS (Smartstore Page Builder)58
CMS (Solodev)33
CMS (Squarespace)361017
CMS (Squiz Matrix)297
CMS (Statamic)2279
CMS (Storyblok)1874
CMS (Strapi)48
CMS (Strato Website)32805
CMS (Strikingly)4063
CMS (Subrion)50
CMS (Sulu)763
CMS (TN Express Web)9
CMS (TYPO3 CMS)97885
CMS (Telescope)8
CMS (Textpattern CMS)156
CMS (Thelia)131
CMS (TiddlyWiki)8
CMS (Tiki Wiki CMS Groupware)154
CMS (Tilda)2414
CMS (TownNews)1560
CMS (Twilight CMS)2
CMS (UMI.CMS)32
CMS (Umbraco)10136
CMS (Unicorn Platform)60
CMS (VIVVO)13
CMS (Varbase)370
CMS (Vigbo)65
CMS (Vignette)9
CMS (Voog.com Website Builder)1420
CMS (WHMCS)630
CMS (Wagtail)3474
CMS (WebGUI)91
CMS (WebNode)24541
CMS (WebZi)13
CMS (Weblication)2601
CMS (Weblium)219
CMS (WebsPlanet)1881
CMS (Website Creator)557
CMS (WebsiteBaker)93
CMS (Weebly)121584
CMS (Wix)631828
CMS (Wolf CMS)5
CMS (Woltlab Community Framework)149
CMS (WordPress)4495042
CMS (XOOPS)120
CMS (XpressEngine)107
CMS (a-blog cms)15
CMS (e107)320
CMS (eSyndiCat)6
CMS (eZ Platform)131
CMS (eZ Publish)1275
CMS (enduro.js)8
CMS (imperia CMS)148
CMS (microCMS)5
CMS (onpublix)690
CMS (papaya CMS)3
CMS (phpRS)44
CMS (phpSQLiteCMS)10
CMS (pirobase CMS)11
CMS (sNews)47
CMS (uKnowva)1
CMS (webEdition)1829
CMS (wisyCMS)9
CRM (Anthology Encompass)235
CRM (Astute Solutions)1042
CRM (Bigin)5
CRM (Bitrix24)1282
CRM (Channel.io)66
CRM (CiviCRM)582
CRM (DX1)655
CRM (Dito)4
CRM (Ellucian CRM Recruit)110
CRM (Freshworks CRM)989
CRM (GLPI)7
CRM (Gladly)121
CRM (HappyFox Helpdesk)1
CRM (Hi Platform)1
CRM (Infoset)2
CRM (Insightly CRM)140
CRM (Intercom)11463
CRM (Kapture CRM)5
CRM (Keap)2709
CRM (Koala)61
CRM (Kustomer)168
CRM (LiveHelp)44
CRM (MDS Brand)25
CRM (NationBuilder)724
CRM (Neon CRM)1547
CRM (OperateBeyond)589
CRM (Perfex CRM)9
CRM (Pico)107
CRM (Pipedrive)1461
CRM (Q4)366
CRM (Richpanel)186
CRM (SAP)4
CRM (Salesforce Desk)3
CRM (Salesforce Service Cloud)10628
CRM (Salesforce)12939
CRM (Sellsy)35
CRM (Siteglide)191
CRM (Slate)28
CRM (Tessitura)9
CRM (Virtuagym)276
CRM (Vtiger)22
CRM (WoowUp)10
CRM (Zoho)3503
CRM (amoCRM)102
CRM (eShopCRM)1168
CRM (vcita)2396
Caching (Azure CDN)2774
Caching (Google PageSpeed)39742
Caching (NitroPack)15741
Caching (Oracle Web Cache)14
Caching (RackCache)7544
Caching (Redis Object Cache)13590
Caching (Varnish)323008
Caching (W3 Total Cache)151522
Caching (WP Rocket)357772
Caching (WordPress Super Cache)146152
Caching (wpCache)1229
Cart abandonment (Barilliance)7
Cart abandonment (BiteSpeed)52
Cart abandonment (CareCart)236
Cart abandonment (CartStack)772
Cart abandonment (Jilt App)372
Cart abandonment (Jilt plugin)24
Cart abandonment (Justuno)2299
Cart abandonment (Keptify)28
Cart abandonment (OptiMonk)3805
Cart abandonment (PushDaddy Whatsapp Chat)467
Cart abandonment (PushOwl Web Push Notifications)2078
Cart abandonment (Recapture)94
Cart abandonment (Recart)110
Cart abandonment (SpurIT Abandoned Cart Reminder)19
Cart abandonment (UpSellit)845
Comment systems (Disqus)5012
Comment systems (IntenseDebate)77
Comment systems (Livefyre)105927
Comment systems (Question2Answer)4
Comment systems (Vuukle)10
Containers (Docker)1491
Containers (Harbor)2
Content curation (Bazaarvoice Curation)397
Content curation (ContentStudio)118
Content curation (Contently)19
Content curation (Covet.pics)1995
Content curation (Foursixty)664
Content curation (Letro)2
Content curation (MadCap Software)6
Content curation (Nosto Visual UGC)178
Content curation (Olapic)56
Content curation (Photoslurp)168
Content curation (Pixlee TurnTo)343
Content curation (Scoop.it)197
Content curation (Sniply)25
Content curation (StoryStream)65
Content curation (Tagboard)44
Content curation (Tagembed)2001
Cookie compliance (2B Advice)136
Cookie compliance (Acconsento.click)335
Cookie compliance (AdOpt)60
Cookie compliance (AdRoll CMP System)23049
Cookie compliance (Axeptio)11275
Cookie compliance (Borlabs Cookie)92360
Cookie compliance (CIVIC)5660
Cookie compliance (Clarip)83
Cookie compliance (Commanders Act TrustCommander)1057
Cookie compliance (Complianz)166797
Cookie compliance (Conversant Consent Tool)37
Cookie compliance (Cookie Information plugin)19521
Cookie compliance (Cookie Information)34736
Cookie compliance (Cookie Notice)193826
Cookie compliance (Cookie Script)18888
Cookie compliance (CookieFirst)6878
Cookie compliance (CookieHub)5702
Cookie compliance (CookieYes)386152
Cookie compliance (Cookiebot)163877
Cookie compliance (Didomi)7852
Cookie compliance (Efilli)28
Cookie compliance (Evidon)1094
Cookie compliance (Funding Choices)9741
Cookie compliance (HubSpot Cookie Policy Banner)14732
Cookie compliance (HulkApps GDPR/CCPA Compliance Manager)343
Cookie compliance (Ketch)209
Cookie compliance (Klaro)13917
Cookie compliance (Legal Monster)338
Cookie compliance (LiveRamp PCM)1238
Cookie compliance (Monsido)2616
Cookie compliance (Moove GDPR Consent)65236
Cookie compliance (OneTrust)75731
Cookie compliance (Osano)134959
Cookie compliance (Q4 Cookie Monster)33
Cookie compliance (Quantcast Choice)2092
Cookie compliance (Seers)164
Cookie compliance (Segment Consent Manager )2133
Cookie compliance (Shopify Consent Management)1003
Cookie compliance (Sirdata)1586
Cookie compliance (Sourcepoint)133
Cookie compliance (Spatie Laravel Cookie Consent)2719
Cookie compliance (TRUENDO)637
Cookie compliance (Tealium Consent Management)8806
Cookie compliance (Termly)3993
Cookie compliance (Transcend)1006
Cookie compliance (TrustArc)5048
Cookie compliance (Ultimate GDPR & CCPA)4206
Cookie compliance (Uniconsent)52
Cookie compliance (Usercentrics)68289
Cookie compliance (Yett)3521
Cookie compliance (clickio)91
Cookie compliance (eucookie.eu)174
Cookie compliance (iubenda)86935
Cookie compliance (snigel AdConsent)37
Cross border ecommerce (Borderfree)27
Cross border ecommerce (ESW)35
Cross border ecommerce (Exemptify)258
Cross border ecommerce (Flow)11
Cross border ecommerce (Global-e)794
Cross border ecommerce (GlobalShopex)32
Cross border ecommerce (Glopal)392
Cross border ecommerce (ShopBase)43
Cross border ecommerce (With Reach)12
Cross border ecommerce (WorldShopping)41
Cross border ecommerce (Zonos)901
Cryptominers (CoinHive Captcha)6
Cryptominers (CoinHive)13
Cryptominers (Coinhave)2
Cryptominers (Coinimp)74
Cryptominers (Crypto-Loot)3
Cryptominers (JSEcoin)6
Cryptominers (Minero.cc)2
Customer data platform (Acquia Customer Data Platform)14
Customer data platform (Adobe Experience Platform Identity Service)37131
Customer data platform (Antsomi CDP 365)3
Customer data platform (BlueConic)769
Customer data platform (ChurnZero)8
Customer data platform (Cooladata)864
Customer data platform (Emarsys)865
Customer data platform (Exponea)559
Customer data platform (FirstHive)5
Customer data platform (Insider)352
Customer data platform (Listrak)814
Customer data platform (Lytics)249
Customer data platform (Netcore Cloud)82
Customer data platform (Ometria)234
Customer data platform (Optimove)39
Customer data platform (PriceSpider)672
Customer data platform (Rudderstack)408
Customer data platform (SALESmanago)1792
Customer data platform (Salesforce Audience Studio)1698
Customer data platform (Segment)15428
Customer data platform (Simon)99
Customer data platform (Sirdata)1586
Customer data platform (Squeezely)537
Customer data platform (Sub2Tech)78
Customer data platform (Tail)20
Customer data platform (Tealium)32542
Customer data platform (Totango)1
Customer data platform (Treasure Data)530
Customer data platform (Userpilot)17
Customer data platform (Zeotap)276
Customer data platform (eSputnik)59
Customer data platform (inSided)1
Customer data platform (mParticle)2326
DMS (Invenio)1
DMS (Koha)5
DMS (Open Journal Systems)154
DMS (uKnowva)1
Database managers (Adminer)34
Database managers (phpMyAdmin)1414
Database managers (phpPgAdmin)1
Databases (Claris FileMaker)1
Databases (Firebase)32402
Databases (Lucene)15
Databases (MariaDB)22244
Databases (MongoDB)1461
Databases (MySQL)4729993
Databases (PostgreSQL)5042
Databases (Redis)13633
Databases (SQLite)87
Databases (Solr)4
Databases (Virtuoso)2
Development (Atlassian Bitbucket)18
Development (Atlassian FishEye)1
Development (Atlassian Jira Issue Collector)90
Development (Betty Blocks)3
Development (Clockwork)110
Development (EasyEngine)578
Development (Emotion)36851
Development (Firebase)32402
Development (Gerrit)1
Development (GitLab)107
Development (Gitea)19
Development (Gogs)5
Development (JSS)9042
Development (Jahia DX)29
Development (Microsoft Visual Studio)1243
Development (OutSystems)43
Development (PHPDebugBar)688
Development (Replit)8
Development (SlickStack)28
Development (SonarQubes)6
Development (Stitches)301
Development (Storybook)19
Development (git)7
Development (gitweb)3
Development (styled-components)44669
Digital asset management (Adobe Dynamic Media Classic)1699
Digital asset management (Aprimo)186
Digital asset management (Arc XP)256
Digital asset management (Bluestone PIM)11
Digital asset management (Brandfolder)49
Digital asset management (Canto)152
Digital asset management (Celum)97
Digital asset management (Censhare)12
Digital asset management (Cloudimage)3374
Digital asset management (Cloudinary)30353
Digital asset management (CoreMedia Content Cloud)202
Digital asset management (Frontify)75
Digital asset management (Image Relay)38
Digital asset management (Imgix)15187
Digital asset management (Nextcloud)158
Digital asset management (PhotoShelter for Brands)530
Digital asset management (Picturepark)15
Digital asset management (Salsify)79
Digital asset management (THRON)47
Digital asset management (Zmags Creator)89
Documentation (Adobe RoboHelp)10
Documentation (Asciidoctor)13
Documentation (BetterDocs)702
Documentation (BookStack)12
Documentation (DocFX)2
Documentation (Docusaurus)283
Documentation (Doxygen)1
Documentation (GitBook)17
Documentation (HelpDocs)10
Documentation (Intercom Articles)2
Documentation (MkDocs)81
Documentation (Obsidian Publish)6
Documentation (ReDoc)5
Documentation (Sphinx)66
Documentation (Support Hero)27
Documentation (Swagger UI)27
Documentation (TiddlyWiki)8
Documentation (Wiki.js)11
Documentation (YUI Doc)227
Documentation (Zendesk)13309
Documentation (mdBook)3
Domain parking (Arsys Domain Parking)2400
Domain parking (GoDaddy Domain Parking)225174
Ecommerce (1C-Bitrix)1612
Ecommerce (ARI Network Services)1
Ecommerce (Abicart)1
Ecommerce (Accesso)195
Ecommerce (Aero Commerce)57
Ecommerce (Afosto)59
Ecommerce (AfterBuy)88
Ecommerce (Akilli Ticaret)1
Ecommerce (Amazon Webstore)2373
Ecommerce (AptusShop)50
Ecommerce (Arastta)9
Ecommerce (BSmart)10
Ecommerce (Base)17
Ecommerce (Big Cartel)670
Ecommerce (BigCommerce)14609
Ecommerce (Bigware)6
Ecommerce (Bizweb)17
Ecommerce (Blesta)9
Ecommerce (Bootic)1
Ecommerce (Botble CMS)130
Ecommerce (Brownie)30
Ecommerce (Bsale)47
Ecommerce (CCV Shop)1627
Ecommerce (CS Cart)1651
Ecommerce (Cafe24)176
Ecommerce (Cart Functionality)1322835
Ecommerce (Cart.com)377
Ecommerce (Centra)107
Ecommerce (Chameleon system)17
Ecommerce (City Hive)12
Ecommerce (CloudCart)341
Ecommerce (CloudSuite)8
Ecommerce (ColorMeShop)148
Ecommerce (Commerce Server)37
Ecommerce (Commerce7)631
Ecommerce (Commercelayer)8
Ecommerce (Correos Ecommerce)3
Ecommerce (Cosmoshop)5
Ecommerce (Craft Commerce)884
Ecommerce (Cratejoy)40
Ecommerce (Crystallize)6
Ecommerce (CubeCart)280
Ecommerce (Digital Showroom)6
Ecommerce (DigitalRiver)5
Ecommerce (Dokan)576
Ecommerce (Drupal Commerce)989
Ecommerce (Dukaan)11
Ecommerce (Dynamicweb)1729
Ecommerce (EC-CUBE)55
Ecommerce (EKM)1775
Ecommerce (EasyDigitalDownloads)2787
Ecommerce (EasyStore)10
Ecommerce (Ecwid)3271
Ecommerce (Elcodi)9
Ecommerce (Essent SiteBuilder Pro)3
Ecommerce (Estore Shopserve)1
Ecommerce (Fast Checkout)65
Ecommerce (Fastspring)65
Ecommerce (Fbits)4
Ecommerce (Food-Ordering.co.uk)5
Ecommerce (Fortune3)29
Ecommerce (Fourthwall)5989
Ecommerce (Foxy.io)631
Ecommerce (Freshop)286
Ecommerce (FurnitureDealer)100
Ecommerce (Future Shop)17
Ecommerce (Fynd Platform)4
Ecommerce (Gambio)3152
Ecommerce (GoDaddy Online Store)827
Ecommerce (Gomag)480
Ecommerce (GrandNode)27
Ecommerce (GrocerKey)2
Ecommerce (Gumroad)103
Ecommerce (HCL Commerce)1659
Ecommerce (Haravan)23
Ecommerce (IdoSell Shop)418
Ecommerce (Ikas)18
Ecommerce (Imweb)72
Ecommerce (Intershop)254
Ecommerce (Inventrue)37
Ecommerce (Inveon)10
Ecommerce (Irroba)1
Ecommerce (J2Store)2298
Ecommerce (JShop)73
Ecommerce (JTL Shop)4075
Ecommerce (Jetshop)185
Ecommerce (JoomShopping)244
Ecommerce (Jumpseller)58
Ecommerce (Justo)5
Ecommerce (KMK)3
Ecommerce (KQS.store)160
Ecommerce (Kajabi)2366
Ecommerce (Kibo Commerce)73
Ecommerce (KobiMaster)2
Ecommerce (Kooomo)12
Ecommerce (Lightspeed eCom)5539
Ecommerce (LogiCommerce)71
Ecommerce (Loja Integrada)26
Ecommerce (Loja Virtual)2
Ecommerce (Loja2)1
Ecommerce (Magento)35354
Ecommerce (MakeShop)34
Ecommerce (MakeShopKorea)2
Ecommerce (Melis Platform)6
Ecommerce (Mercado Shops)7
Ecommerce (Microsoft Dynamics 365 Commerce)22
Ecommerce (Miva)630
Ecommerce (Mobify)345
Ecommerce (Modified)70
Ecommerce (Moguta.CMS)8
Ecommerce (Mondo Media)3
Ecommerce (My Food Link)7
Ecommerce (MyCashFlow)881
Ecommerce (MyOnlineStore)3285
Ecommerce (NEO - Omnichannel Commerce Platform)1
Ecommerce (Nacelle)59
Ecommerce (NetSuite)917
Ecommerce (Neto)158
Ecommerce (Next Total)20
Ecommerce (Nuvemshop)19
Ecommerce (OXID eShop Community Edition)794
Ecommerce (OXID eShop Enterprise Edition)316
Ecommerce (OXID eShop Professional Edition)153
Ecommerce (OXID eShop)120
Ecommerce (Ochanoko)16
Ecommerce (Open Classifieds)1
Ecommerce (OpenCart)7727
Ecommerce (Optimizely Commerce)40
Ecommerce (Oracle Commerce Cloud)99
Ecommerce (Oracle Commerce)81
Ecommerce (Orckestra)129
Ecommerce (OrderYOYO)44
Ecommerce (OroCommerce)4
Ecommerce (Oxatis)955
Ecommerce (Parttrap ONE)57
Ecommerce (Pattern by Etsy)1033
Ecommerce (PhotoShelter)680
Ecommerce (Pimcore)3783
Ecommerce (PinnacleCart)281
Ecommerce (Pixieset Store)26
Ecommerce (PlatinMarket)1
Ecommerce (Plug\&Pay)1
Ecommerce (Podia)87
Ecommerce (Powergap)59
Ecommerce (PrestaShop)49511
Ecommerce (Projesoft)1
Ecommerce (Proximis Unified Commerce)1
Ecommerce (Proximis)3
Ecommerce (PureCars)1325
Ecommerce (Quick.Cart)351
Ecommerce (Quickbutik)712
Ecommerce (RBS Change)11
Ecommerce (Rain)1843
Ecommerce (Reactive)17
Ecommerce (RedCart)122
Ecommerce (Robin)219
Ecommerce (SAP Commerce Cloud)1730
Ecommerce (Saleor)12
Ecommerce (Salesfloor)4
Ecommerce (Salesforce Commerce Cloud)2386
Ecommerce (Salesnauts)2
Ecommerce (Sana Commerce)277
Ecommerce (Scalefast)1
Ecommerce (SearchFit)13
Ecommerce (Sellacious)25
Ecommerce (Sellfy)14
Ecommerce (Sellingo)108
Ecommerce (Sharetribe)16
Ecommerce (Shift4Shop)1883
Ecommerce (ShopBase)43
Ecommerce (ShopGold)919
Ecommerce (ShopWired)369
Ecommerce (Shopaholic)25
Ecommerce (Shopcada)2
Ecommerce (Shoper)3089
Ecommerce (Shopfa)1
Ecommerce (Shopify)165794
Ecommerce (Shoplazza)51
Ecommerce (Shopline)69
Ecommerce (Shopmatic)2
Ecommerce (Shoporama)43
Ecommerce (Shoprenter)1336
Ecommerce (Shoptet)7928
Ecommerce (Shopware)13598
Ecommerce (Simplo7)1
Ecommerce (Sky-Shop)236
Ecommerce (SmartWeb)962
Ecommerce (Smartstore biz)61
Ecommerce (Smartstore)187
Ecommerce (Snipcart)474
Ecommerce (SoftTr)5
Ecommerce (Solusquare OmniCommerce Cloud)6
Ecommerce (SoteShop)264
Ecommerce (Spree)74
Ecommerce (Spring for creators)26
Ecommerce (Spryker)35
Ecommerce (Square Online)7270
Ecommerce (Squarespace Commerce)360759
Ecommerce (StackCommerce)1
Ecommerce (Storeden)261
Ecommerce (Subbly)25
Ecommerce (SummerCart)163
Ecommerce (Swell)93
Ecommerce (Sylius)132
Ecommerce (T1 Paginas)1
Ecommerce (THG Ingenuity)76
Ecommerce (TRISOshop)8
Ecommerce (TakeDrop)25
Ecommerce (Tebex)3
Ecommerce (Thelia)131
Ecommerce (ThriveCart)16
Ecommerce (Ticimax)2
Ecommerce (Tiendanube)36
Ecommerce (TomatoCart)20
Ecommerce (TotalCode)2
Ecommerce (Tray)20
Ecommerce (Tritac Katana Commerce)7
Ecommerce (TrueCommerce)1
Ecommerce (Ubercart)100
Ecommerce (Ubiliz)66
Ecommerce (Ueeshop)102
Ecommerce (Unas)1902
Ecommerce (VP-ASP)164
Ecommerce (VTEX)207
Ecommerce (Vendre)103
Ecommerce (VirtueMart)105
Ecommerce (Visualsoft)632
Ecommerce (Vnda)7
Ecommerce (Volusion)2634
Ecommerce (Voog.com Website Builder)1420
Ecommerce (Voracio)12
Ecommerce (Web Shop Manager)239
Ecommerce (Webasyst Shop-Script)2
Ecommerce (Webflow Ecommerce)7701
Ecommerce (Weblium)219
Ecommerce (Websale)96
Ecommerce (Welcart)31
Ecommerce (Wikinggruppen)454
Ecommerce (WineDirect)792
Ecommerce (Wix eCommerce)187940
Ecommerce (WiziShop)182
Ecommerce (WooCommerce)556402
Ecommerce (Workarea)268
Ecommerce (X-Cart)388
Ecommerce (Xanario)47
Ecommerce (Xonic)5
Ecommerce (Xretail)1
Ecommerce (YNAP Ecommerce)1
Ecommerce (Yahoo! Ecommerce)1389
Ecommerce (Yoori)1
Ecommerce (YouCan)43
Ecommerce (Zen Cart)1635
Ecommerce (Zid)16
Ecommerce (Zoey)112
Ecommerce (e-Shop Commerce)2
Ecommerce (ePages)5066
Ecommerce (eZ Platform)131
Ecommerce (eZ Publish)1275
Ecommerce (ebisumart)8
Ecommerce (iPresta)1
Ecommerce (inSales)13
Ecommerce (k-eCommerce)201
Ecommerce (nopCommerce)3144
Ecommerce (novomind iSHOP)83
Ecommerce (ocStore)3
Ecommerce (osCommerce)2232
Ecommerce (plentyShop LTS)865
Ecommerce (plentymarkets)865
Ecommerce (stores.jp)16
Ecommerce (wBuy)1
Ecommerce (wap.store)1
Ecommerce (xtCommerce)547
Ecommerce frontends (GoMage)24
Ecommerce frontends (Hyva Themes)987
Ecommerce frontends (PWA Studio)238
Ecommerce frontends (ScandiPWA)62
Ecommerce frontends (Shogun Frontend)1029
Ecommerce frontends (Vue Storefront)257
Editors (Adobe GoLive)6244
Editors (Amaya)72
Editors (AsciiDoc)6
Editors (Bluefish)876
Editors (CodeMirror)10454
Editors (CodeSandbox)2
Editors (Draft.js)4
Editors (DreamWeaver)143475
Editors (FrontPage)32801
Editors (Gutenberg)45439
Editors (Microsoft Excel)98
Editors (Microsoft PowerPoint)54
Editors (Microsoft Publisher)591
Editors (Microsoft Word)29864
Editors (Unbounce)5267
Editors (WEBDEV)335
Editors (Web Stories for WordPress)1
Editors (WebSite X5)17159
Editors (iWeb)140
Email (ActiveCampaign)26039
Email (Autopilot)1072
Email (Aweber)2859
Email (Bluecore)192
Email (Bronto)27
Email (Campaign Monitor)5258
Email (Carts Guru)304
Email (Constant Contact)33955
Email (ConvertKit)2044
Email (Creativ.eMail)12380
Email (Doppler)68
Email (EmailJS)562
Email (Genesys Cloud)643
Email (GetResponse)2344
Email (Launchrock)14
Email (LiveIntent)6963
Email (MailChimp)257632
Email (Mailmunch)11341
Email (Metrilo)178
Email (Omnisend)10376
Email (Open-Xchange App Suite)24
Email (Privy)8593
Email (Sailthru)658
Email (Salesforce Marketing Cloud Email Studio)16
Email (SendPulse)266
Email (Sendinblue)10068
Email (SmtpJS)320
Email (SpotHopper)3472
Email (e-goi)493
Email (emBlue)33
Feature management (Beamer)133
Feature management (FlagSmith)21
Feature management (LaunchDarkly)6483
Feature management (Split)27
Feature management (Statsig)16
Feed readers (Planet)114
Font scripts (Bootstrap Icons)19309
Font scripts (Bunny Fonts)31680
Font scripts (Cufon)32409
Font scripts (Custom Fonts)13385
Font scripts (Font Awesome)2343058
Font scripts (FontServer)2
Font scripts (Fork Awesome)190
Font scripts (Glyphicons)7669
Font scripts (Google Font API)5200010
Font scripts (Hoefler\&Co)8630
Font scripts (Ionicons)94069
Font scripts (MyFonts)2657
Font scripts (Twitter Emoji (Twemoji))2899321
Font scripts (Typekit)637611
Font scripts (sIFR)1575
Form builders (Airform)3
Form builders (Caldera Forms)6248
Form builders (Contact Form 7)1604416
Form builders (FormAssembly)191
Form builders (FormBold)9
Form builders (Formaloo)31
Form builders (Formidable Form)53119
Form builders (Formli)2
Form builders (Globo Form Builder)2178
Form builders (Google Forms)203
Form builders (Gravity Forms)159727
Form builders (HulkApps Form Builder)3288
Form builders (Marketo Forms)944
Form builders (Netlify Forms)243
Form builders (Ninja Forms)26122
Form builders (WPForms)168575
Fulfilment (AfterShip)63
Fulfilment (Deliverr)170
Fulfilment (Malomo)2
Fulfilment (Route)442
Fulfilment (Shoprunner)30
Fundraising & donations (Blackbaud CRM)89
Fundraising & donations (Buy me a coffee)446
Fundraising & donations (Classy)1091
Fundraising & donations (Click & Pledge)432
Fundraising & donations (Community Funded)20
Fundraising & donations (DonorPerfect)2691
Fundraising & donations (Donorbox)2493
Fundraising & donations (EveryAction)775
Fundraising & donations (Fundraise Up)1294
Fundraising & donations (Funraise)109
Fundraising & donations (GiveCampus)366
Fundraising & donations (GiveSmart)730
Fundraising & donations (GiveWP)13031
Fundraising & donations (GivingFuel)445
Fundraising & donations (Kindful)2271
Fundraising & donations (Ko-fi)336
Fundraising & donations (Neon CRM)1547
Fundraising & donations (Network for Good)3091
Fundraising & donations (OneCause)141
Fundraising & donations (Pushpay)68
Fundraising & donations (Qgiv)829
Fundraising & donations (RaiseDonors)41
Fundraising & donations (Raisely)11
Fundraising & donations (Vanco Payment Solutions)3463
Fundraising & donations (Virtuous)244
Fundraising & donations (Yapla)83
Geolocation (BigDataCloud IP Geolocation)48
Geolocation (Geo Targetly)49
Geolocation (IP2Location.io)945
Geolocation (IPInfoDB)30
Geolocation (IPinfo)205
Geolocation (MaxMind)1520
Geolocation (Shopify Geolocation App)1
Geolocation (db-ip)80
Geolocation (ip-api)1427
Geolocation (ipapi)227
Geolocation (ipbase)28
Geolocation (ipdata)207
Geolocation (ipgeolocation)436
Geolocation (ipify)4927
Geolocation (ipstack)370
Hosting (Acquia Cloud Site Factory)2941
Hosting (Aruba.it)105223
Hosting (Bluehost)112536
Hosting (Doteasy)251
Hosting (Drupal Multisite)21042
Hosting (Elementor Cloud)1177
Hosting (Flywheel)58952
Hosting (GuideIT)1
Hosting (Hetzner)2
Hosting (Hostinger)51736
Hosting (Kinsta)32277
Hosting (Nestify)586
Hosting (Newspack by Automattic)161
Hosting (Nexcess)130
Hosting (Niagahoster)267
Hosting (Pagely)1935
Hosting (PythonAnywhere)291
Hosting (Seravo)3607
Hosting (SiteGround)91351
Hosting (Strattic)141
Hosting (Tangled Network)109
Hosting (WP Engine)211293
Hosting (WordPress Multisite)100240
Hosting panels (AlternC)12
Hosting panels (EasyEngine)578
Hosting panels (Plesk)276722
Hosting panels (Pterodactyl Panel)10
Hosting panels (SlickStack)28
Hosting panels (TCAdmin)1
Hosting panels (Tencent Waterproof Wall)22
Hosting panels (cPanel)118
Hosting panels (i-MSCP)380
IaaS (Alibaba Cloud Object Storage Service)128
IaaS (Amazon ECS)913
IaaS (DigitalOcean Spaces)4411
IaaS (Google Cloud)669102
IaaS (Snowplow Analytics)294880
Issue trackers (Asana)203
Issue trackers (Atatus)38
Issue trackers (Atlassian Jira Issue Collector)90
Issue trackers (Atlassian Jira)19
Issue trackers (Better Uptime)17
Issue trackers (BugHerd)5729
Issue trackers (BugSnag)5576
Issue trackers (Bugzilla)3
Issue trackers (Cachet)3
Issue trackers (Canny)78
Issue trackers (Combodo iTop)1
Issue trackers (Elastic APM)8012
Issue trackers (Feedback Fish)2
Issue trackers (Get Satisfaction)20
Issue trackers (GetFeedback)1091
Issue trackers (GitLab)107
Issue trackers (Help Scout)1433
Issue trackers (HetrixTools)1
Issue trackers (Honeybadger)878
Issue trackers (Hund.io)9
Issue trackers (Instana)398
Issue trackers (Instatus)48
Issue trackers (MantisBT)6
Issue trackers (Marker)1337
Issue trackers (Medallia)867
Issue trackers (Mopinion)236
Issue trackers (Noibu)493
Issue trackers (Panelbear)27
Issue trackers (RapidSpike)57
Issue trackers (Raygun)835
Issue trackers (Redmine)58
Issue trackers (Rollbar)75
Issue trackers (Sentry)642631
Issue trackers (Sleekplan)1
Issue trackers (Stackify)13
Issue trackers (Statuspal)21
Issue trackers (Support Hero)27
Issue trackers (Tiki Wiki CMS Groupware)154
Issue trackers (Trac)6
Issue trackers (UptimeRobot)246
Issue trackers (Uptrends)226
Issue trackers (UserReport)113
Issue trackers (UserVoice)193
Issue trackers (Zendesk)13309
Issue trackers (osTicket)47
JavaScript frameworks (AMP)30037
JavaScript frameworks (Adobe Client Data Layer)5023
JavaScript frameworks (AlertifyJS)4522
JavaScript frameworks (AlloyUI)3802
JavaScript frameworks (Alpine.js)39494
JavaScript frameworks (Angular)18135
JavaScript frameworks (AngularJS)127591
JavaScript frameworks (Astro)3037
JavaScript frameworks (Aurelia)181
JavaScript frameworks (BEM)132
JavaScript frameworks (Backbone.js)112435
JavaScript frameworks (Elm)77
JavaScript frameworks (Ember.js)803
JavaScript frameworks (Emotion)36851
JavaScript frameworks (Enyo)4
JavaScript frameworks (Essential JS 2)17
JavaScript frameworks (ExtJS)2464
JavaScript frameworks (Frontity)81
JavaScript frameworks (GSAP)778923
JavaScript frameworks (Gatsby)15849
JavaScript frameworks (Handlebars)79170
JavaScript frameworks (Hogan.js)1768
JavaScript frameworks (Hydrogen)31
JavaScript frameworks (Inertia.js)2113
JavaScript frameworks (InfernoJS)28
JavaScript frameworks (JSS)9042
JavaScript frameworks (Knockout.js)9680
JavaScript frameworks (Marionette.js)43859
JavaScript frameworks (Meteor)744
JavaScript frameworks (MooTools)136771
JavaScript frameworks (Moon)11
JavaScript frameworks (Mustache)201828
JavaScript frameworks (Next.js)54158
JavaScript frameworks (Nuxt.js)19822
JavaScript frameworks (OpenUI5)22
JavaScript frameworks (Phaser)55
JavaScript frameworks (Polymer)731
JavaScript frameworks (Prototype)105109
JavaScript frameworks (Quasar)406
JavaScript frameworks (React Redux)5738
JavaScript frameworks (React Router)7
JavaScript frameworks (React)1309458
JavaScript frameworks (Redux)5752
JavaScript frameworks (RedwoodJS)9
JavaScript frameworks (RequireJS)233260
JavaScript frameworks (Reveal.js)836
JavaScript frameworks (RightJS)4
JavaScript frameworks (Riot)680
JavaScript frameworks (Ripple)5
JavaScript frameworks (RxJS)1544
JavaScript frameworks (Socket.io)6758
JavaScript frameworks (SolidJS)45
JavaScript frameworks (Stimulus)212404
JavaScript frameworks (Stitches)301
JavaScript frameworks (Strapdown.js)2
JavaScript frameworks (Svelte)4788
JavaScript frameworks (Transifex)146
JavaScript frameworks (Twitter Flight)282
JavaScript frameworks (UmiJs)32
JavaScript frameworks (Vue.js)135850
JavaScript frameworks (Webix)28
JavaScript frameworks (Wink)7662
JavaScript frameworks (Zone.js)16984
JavaScript frameworks (ef.js)16
JavaScript frameworks (jComponent)26
JavaScript frameworks (styled-components)44669
JavaScript frameworks (toastr)29033
JavaScript graphics (A-Frame)531
JavaScript graphics (AntV G2)7
JavaScript graphics (ApexCharts.js)1554
JavaScript graphics (Babylon.js)17
JavaScript graphics (Bokeh)68
JavaScript graphics (CanvasJS)485
JavaScript graphics (Chart.js)166590
JavaScript graphics (D3)6864
JavaScript graphics (ECharts)232
JavaScript graphics (Epoch)6
JavaScript graphics (Exhibit)1340
JavaScript graphics (FusionCharts)135
JavaScript graphics (GoJS)8
JavaScript graphics (Google Charts)343
JavaScript graphics (Highcharts)4241
JavaScript graphics (Highstock)100
JavaScript graphics (JS Charts)14
JavaScript graphics (JavaScript Infovis Toolkit)47
JavaScript graphics (KaTeX)318
JavaScript graphics (KineticJS)2393
JavaScript graphics (MathJax)1295
JavaScript graphics (Mermaid)62
JavaScript graphics (NVD3)488
JavaScript graphics (PIXIjs)3593
JavaScript graphics (Paths.js)203
JavaScript graphics (Plotly)183
JavaScript graphics (Protovis)2
JavaScript graphics (Raphael)14752
JavaScript graphics (Recharts)17
JavaScript graphics (Rickshaw)26
JavaScript graphics (Rive)66
JavaScript graphics (Supersized)13702
JavaScript graphics (Three.js)15877
JavaScript graphics (Timeplot)1
JavaScript graphics (TradingView)228
JavaScript graphics (Visx)3
JavaScript graphics (ZingChart)34
JavaScript graphics (amCharts)2578
JavaScript graphics (anime.js)92025
JavaScript graphics (jQuery Sparklines)672
JavaScript graphics (jqPlot)319
JavaScript graphics (particles.js)53924
JavaScript graphics (shine.js)86
JavaScript graphics (xCharts)189
JavaScript libraries (@sulu/web)252
JavaScript libraries (AOS)186745
JavaScript libraries (Apollo)2883
JavaScript libraries (Axios)37868
JavaScript libraries (Barba.js)1837
JavaScript libraries (Boba.js)22
JavaScript libraries (Boomerang)199635
JavaScript libraries (Bootstrap Table)786
JavaScript libraries (Browser-Update.org)15083
JavaScript libraries (Cart.js)431
JavaScript libraries (Choices)5202
JavaScript libraries (ClientJS)646
JavaScript libraries (Clipboard.js)23763
JavaScript libraries (DHTMLX)172
JavaScript libraries (Darkmode.js)185
JavaScript libraries (DataTables)57898
JavaScript libraries (Day.js)9176
JavaScript libraries (Dojo)35966
JavaScript libraries (Dropzone)25798
JavaScript libraries (Essential JS 2)17
JavaScript libraries (Ethers)528
JavaScript libraries (FancyBox)751145
JavaScript libraries (FilePond)799
JavaScript libraries (FingerprintJS)32449
JavaScript libraries (Flickity)187025
JavaScript libraries (Fresco)11366
JavaScript libraries (Glide.js)15279
JavaScript libraries (Glider.js)1465
JavaScript libraries (Granim.js)3365
JavaScript libraries (Hammer.js)302759
JavaScript libraries (HeadJS)10285
JavaScript libraries (Highlight.js)19427
JavaScript libraries (Howler.js)3294
JavaScript libraries (Htmx)1934
JavaScript libraries (Immutable.js)20913
JavaScript libraries (Instant.Page)10488
JavaScript libraries (InstantClick)2035
JavaScript libraries (InstantGeo)1
JavaScript libraries (Intersection Observer)1571
JavaScript libraries (Isotope)902775
JavaScript libraries (JsObservable)882
JavaScript libraries (JsRender)882
JavaScript libraries (JsViews)882
JavaScript libraries (Karma)8
JavaScript libraries (Keen-Slider)2995
JavaScript libraries (Laravel Echo)546
JavaScript libraries (LazySizes unveilhooks plugin)4517
JavaScript libraries (LazySizes)620053
JavaScript libraries (Lenis)1375
JavaScript libraries (Lightbox)695962
JavaScript libraries (List.js)9602
JavaScript libraries (Loadable-Components)14443
JavaScript libraries (Lodash)2054466
JavaScript libraries (Lozad.js)213076
JavaScript libraries (Mantine)172
JavaScript libraries (Marked)1140
JavaScript libraries (Mavo)3
JavaScript libraries (Microsoft Authentication)322
JavaScript libraries (MobX)8360
JavaScript libraries (MochiKit)47
JavaScript libraries (Modernizr)1706611
JavaScript libraries (Moment Timezone)7338
JavaScript libraries (Moment.js)272493
JavaScript libraries (Muuri)1845
JavaScript libraries (OWL Carousel)725873
JavaScript libraries (PhotoSwipe)214928
JavaScript libraries (Polyfill)616599
JavaScript libraries (Preact)61386
JavaScript libraries (PubSubJS)17013
JavaScript libraries (Quicklink)30229
JavaScript libraries (Ramda)238
JavaScript libraries (ScrollMagic)50651
JavaScript libraries (Select2)296374
JavaScript libraries (Selectize)36657
JavaScript libraries (Slick)574409
JavaScript libraries (Slimbox 2)6784
JavaScript libraries (Slimbox)4909
JavaScript libraries (Snap.svg)18031
JavaScript libraries (SoundManager)12719
JavaScript libraries (Splide)25731
JavaScript libraries (SpriteSpin)1496
JavaScript libraries (SweetAlert)14646
JavaScript libraries (SweetAlert2)38718
JavaScript libraries (Swiffy Slider)445
JavaScript libraries (Swiper)720041
JavaScript libraries (Tiny Slider)14891
JavaScript libraries (Tippy.js)53106
JavaScript libraries (TurfJS)426
JavaScript libraries (TwicPics)255
JavaScript libraries (Twitter typeahead.js)14889
JavaScript libraries (Underscore.js)125191
JavaScript libraries (Vuex)1954
JavaScript libraries (Wurfl)1183
JavaScript libraries (XRegExp)3890
JavaScript libraries (Xajax)870
JavaScript libraries (YUI)385372
JavaScript libraries (Zepto)5088
JavaScript libraries (Ziggy)1629
JavaScript libraries (\_hyperscript )88
JavaScript libraries (autoComplete.js)131
JavaScript libraries (basket.js)458
JavaScript libraries (core-js)3560046
JavaScript libraries (crypto-js)7207
JavaScript libraries (decimal.js)1166
JavaScript libraries (fullPage.js)5500
JavaScript libraries (jComponent)26
JavaScript libraries (jPlayer)29159
JavaScript libraries (jQuery DevBridge Autocomplete)500
JavaScript libraries (jQuery Migrate)4284440
JavaScript libraries (jQuery Modal)9809
JavaScript libraries (jQuery UI)2160157
JavaScript libraries (jQuery)8329613
JavaScript libraries (libphonenumber)3351
JavaScript libraries (lit-element)35384
JavaScript libraries (lit-html)45841
JavaScript libraries (lite-youtube-embed)2976
JavaScript libraries (math.js)904
JavaScript libraries (metisMenu)5213
JavaScript libraries (prettyPhoto)299200
JavaScript libraries (qiankun)13
JavaScript libraries (script.aculo.us)32889
JavaScript libraries (scrollreveal)53376
JavaScript libraries (web-vitals)208364
LMS (Absorb)4
LMS (Chamilo)5
LMS (Huddle)2
LMS (LearnWorlds)142
LMS (Moodle)508
LMS (Podia)87
LMS (PowerSchool)1
LMS (Simplero Websites)192
LMS (Skilljar)2
LMS (Skolengo)3240
LMS (Teachable)39
LMS (ThimPress LearnPress)2488
LMS (Thinkific)172
LMS (Thrive Apprentice)208
LMS (Totara)7
LMS (uPortal)1
Live chat (Acquire Live Chat)195
Live chat (Ada)162
Live chat (Aircall)1
Live chat (Apple Business Chat)135
Live chat (Bold Chat)707
Live chat (Callbell)289
Live chat (Channel.io)66
Live chat (Chaport)580
Live chat (ChatStack)123
Live chat (Chatra)2904
Live chat (Chatwoot)502
Live chat (Chekkit)543
Live chat (Chord)7
Live chat (CoRover)3
Live chat (Comm100)778
Live chat (Crikle)4
Live chat (Crisp Live Chat)3588
Live chat (Czater)795
Live chat (DeskPro Chat)4
Live chat (Dotdigital Chat)49
Live chat (Drift)6813
Live chat (Element)3
Live chat (Envybox)44
Live chat (Facebook Chat Plugin)43739
Live chat (Freshchat)2036
Live chat (Front Chat)442
Live chat (GetButton)3631
Live chat (Gladly)121
Live chat (Goftino)17
Live chat (Gorgias)2787
Live chat (Grasp)25
Live chat (HappyFox Live Chat)253
Live chat (Haptik)25
Live chat (Help Scout)1433
Live chat (HubSpot Chat)29440
Live chat (InSyncai)27
Live chat (Infoset)2
Live chat (Instabot)170
Live chat (Intercom)11463
Live chat (Jitsi)16
Live chat (JivoChat)3581
Live chat (Kapture CRM)5
Live chat (Kustomer)168
Live chat (Landbot)834
Live chat (Leadster)18
Live chat (LimeChat)6
Live chat (LiveAgent)1123
Live chat (LiveChat)19539
Live chat (LiveHelp)44
Live chat (LivePerson)2737
Live chat (LiveZilla)797
Live chat (ManyChat)2449
Live chat (MyLiveChat)2693
Live chat (Oct8ne)406
Live chat (Octane AI)461
Live chat (Olark)5549
Live chat (Pipedrive)1461
Live chat (Podium)10330
Live chat (Provide Support)1164
Live chat (Pure Chat)6609
Live chat (Qualified)727
Live chat (Raychat)6
Live chat (Re:amaze)3974
Live chat (Rocket.Chat)170
Live chat (Salesforce Service Cloud)10628
Live chat (Schedule Engine)505
Live chat (Shopify Chat)25817
Live chat (Smartsupp)14749
Live chat (SnapEngage)1534
Live chat (Solvemate)28
Live chat (Solvvy)38
Live chat (Spatie Support Bubble)2
Live chat (Suiteshare)4
Live chat (Tawk.to)44773
Live chat (Tencent QQ)920
Live chat (Tidio)20767
Live chat (Tiledesk)51
Live chat (Trengo)1173
Live chat (UserLike)1808
Live chat (Verloop)19
Live chat (Virtual Chat)2
Live chat (VirtualSpirits)88
Live chat (WhatsApp Business Chat)197391
Live chat (WidgetWhats)349
Live chat (Wix Answers)14
Live chat (Yandex.Messenger)4
Live chat (Zendesk Chat)14296
Live chat (Zendesk Sunshine Conversations)35
Live chat (Zendesk)13309
Live chat (iAdvize)470
Live chat (yellow\.ai)129
Livestreaming (Acquire Cobrowse)12
Livestreaming (Bambuser)183
Livestreaming (Chord)7
Livestreaming (Cloudflare Stream)372
Livestreaming (Confer With)10
Livestreaming (Conviva)24
Livestreaming (Go Instore)21
Livestreaming (Hero)47
Livestreaming (Kaltura)9412
Livestreaming (Livescale)15
Livestreaming (Vonage Video API)30
Load balancers (Amazon ALB)37144
Load balancers (Amazon ELB)7993
Load balancers (Application Request Routing)2148
Load balancers (Azure Front Door)10546
Loyalty & rewards (BON Loyalty)378
Loyalty & rewards (Beans)43
Loyalty & rewards (Extole)112
Loyalty & rewards (Flocktory)9
Loyalty & rewards (Gameball)88
Loyalty & rewards (Lootly)65
Loyalty & rewards (LoyaltyLion)1679
Loyalty & rewards (Nift)3
Loyalty & rewards (Redonner)19
Loyalty & rewards (ReferralCandy)197
Loyalty & rewards (Rise.ai)1300
Loyalty & rewards (SaaSquatch)16
Loyalty & rewards (Smile)8369
Loyalty & rewards (SpurIT Loyalty App)28
Loyalty & rewards (Talkable)331
Loyalty & rewards (Yotpo Loyalty & Referrals)2131
Maps (Apple MapKit JS)2697
Maps (ArcGIS API for JavaScript)152
Maps (Baidu Maps)160
Maps (ClustrMaps Widget)423
Maps (Google Maps)1000389
Maps (Here)950
Maps (Leaflet)122563
Maps (MapLibre GL JS)333
Maps (Mapbox GL JS)29318
Maps (Mapbox.js)17376
Maps (Mapplic)826
Maps (Maptalks)4
Maps (Naver Maps)13
Maps (OpenLayers)3998
Maps (OpenStreetMap)3786
Maps (RevolverMaps)786
Maps (TomTom Maps)153
Maps (WP Google Map Plugin)10116
Marketing automation (6sense)2925
Marketing automation (AD EBiS)56
Marketing automation (Acquia Campaign Factory)64
Marketing automation (Act-On)1974
Marketing automation (Actito)34
Marketing automation (ActiveCampaign)26039
Marketing automation (Adabra)9
Marketing automation (Aimtell)201
Marketing automation (Airship)16
Marketing automation (Autoketing)12
Marketing automation (Automizely)3423
Marketing automation (Autopilot)1072
Marketing automation (Aweber)2859
Marketing automation (Beeketing)1607
Marketing automation (Birdeye)4313
Marketing automation (Bluecore)192
Marketing automation (BowNow)71
Marketing automation (Branch)1720
Marketing automation (Braze)299
Marketing automation (BrightInfo)15
Marketing automation (Bronto)27
Marketing automation (BySide)28
Marketing automation (Campaign Monitor)5258
Marketing automation (CartKit)16
Marketing automation (Carts Guru)304
Marketing automation (ChannelAdvisor)133
Marketing automation (CleverTap)98
Marketing automation (ClickDimensions)2186
Marketing automation (ClickFunnels)1643
Marketing automation (Connectif)557
Marketing automation (Constant Contact)33955
Marketing automation (Contlo)25
Marketing automation (ConvertKit)2044
Marketing automation (Convertcart)131
Marketing automation (Customer.io)217
Marketing automation (Dealer Spike)2010
Marketing automation (Dotdigital)998
Marketing automation (Dreamdata)1192
Marketing automation (Drip)2475
Marketing automation (Eloqua)11847
Marketing automation (Emarsys)865
Marketing automation (Ematic Solutions)7
Marketing automation (Emotive)325
Marketing automation (ExitIntel)35
Marketing automation (Firepush)212
Marketing automation (Fomo)598
Marketing automation (Freshworks CRM)989
Marketing automation (Frizbit)21
Marketing automation (Frosmo)93
Marketing automation (FunnelCockpit)163
Marketing automation (Genesys Cloud)643
Marketing automation (GetResponse)2344
Marketing automation (Grin)742
Marketing automation (Growave)1209
Marketing automation (HubSpot)112853
Marketing automation (Hushly)47
Marketing automation (Instabot)170
Marketing automation (Invoca)10009
Marketing automation (Iterable)23
Marketing automation (Izooto)157
Marketing automation (Jirafe)10
Marketing automation (Kartra)457
Marketing automation (Klaviyo)50063
Marketing automation (Leanplum)15
Marketing automation (Listrak)814
Marketing automation (MAJIN)1
Marketing automation (MailChimp for WordPress)66945
Marketing automation (MailChimp)257632
Marketing automation (MailerLite)13997
Marketing automation (Mailmunch)11341
Marketing automation (ManyChat)2449
Marketing automation (ManyContacts)17
Marketing automation (Mapp)531
Marketing automation (Marketo)6883
Marketing automation (Mautic)5882
Marketing automation (Maxemail)48
Marketing automation (Melis Platform)6
Marketing automation (Mindbox)34
Marketing automation (MoEngage)90
Marketing automation (Najva)4
Marketing automation (Netcore Cloud)82
Marketing automation (Nextsale)143
Marketing automation (Nudgify)89
Marketing automation (Ometria)234
Marketing automation (Omnisend)10376
Marketing automation (OneSignal)8427
Marketing automation (OptinMonster)14440
Marketing automation (PayPal Marketing Solutions)23629
Marketing automation (Postscript)1759
Marketing automation (Prediggo)1
Marketing automation (Privy)8593
Marketing automation (PushEngage)329
Marketing automation (PushOwl)3189
Marketing automation (PushPushGo)242
Marketing automation (Pushnami)118
Marketing automation (Qualified)727
Marketing automation (RD Station)432
Marketing automation (RockRMS)169
Marketing automation (Rockerbox)188
Marketing automation (SALESmanago)1792
Marketing automation (SEMrush)48
Marketing automation (Sailthru)658
Marketing automation (Salesforce Marketing Cloud Account Engagement)13162
Marketing automation (Salesloft)1872
Marketing automation (Satori)32
Marketing automation (SendPulse)266
Marketing automation (Sendinblue)10068
Marketing automation (Shanon)11
Marketing automation (SharpSpring)6655
Marketing automation (ShopiMind)397
Marketing automation (Signal)1735
Marketing automation (Simplero)417
Marketing automation (Sleeknote)3929
Marketing automation (SocialLadder)12
Marketing automation (SpotHopper)3472
Marketing automation (Stylitics)17
Marketing automation (Sumo)6664
Marketing automation (Systeme.io)140
Marketing automation (Truepush)113
Marketing automation (VWO Engage)404
Marketing automation (Vitals)881
Marketing automation (Vizury)15
Marketing automation (WebEngage)130
Marketing automation (Webpushr)563
Marketing automation (Wigzo)29
Marketing automation (Wisepops)1885
Marketing automation (Wunderkind)479
Marketing automation (Xtremepush)61
Marketing automation (Yotpo SMSBump)1128
Marketing automation (Zotabox)6997
Marketing automation (e-goi)493
Marketing automation (eSputnik)59
Marketing automation (emBlue)33
Message boards (Asgaros Forum)983
Message boards (Discourse)50
Message boards (Discuz! X)97
Message boards (FUDforum)1
Message boards (Flarum)6
Message boards (FluxBB)3
Message boards (IPB)293
Message boards (Mastodon)4
Message boards (Mattermost)1
Message boards (MyBB)55
Message boards (NodeBB)4
Message boards (PeerBoard)28
Message boards (PeerTube)2
Message boards (Reddit)381
Message boards (Simple Machines Forum)149
Message boards (TiddlyWiki)8
Message boards (Tiki Wiki CMS Groupware)154
Message boards (Vanilla)8
Message boards (Web Wiz Forums)4
Message boards (XenForo)352
Message boards (phpBB)475
Message boards (punBB)6
Message boards (uKnowva)1
Message boards (vBulletin)256
Miscellaneous (Acquia Content Hub)22
Miscellaneous (Acquire Cobrowse)12
Miscellaneous (Admiral)1320
Miscellaneous (Azure Edge Network)36582
Miscellaneous (Babel)278137
Miscellaneous (Buildertrend)497
Miscellaneous (Buy with Prime)273
Miscellaneous (Chevereto)2
Miscellaneous (CoConstruct)77
Miscellaneous (Cocos2d)1
Miscellaneous (Combodo iTop)1
Miscellaneous (CopyPoison)48
Miscellaneous (CrownPeak)355
Miscellaneous (DataMilk)4
Miscellaneous (DreamApply)1
Miscellaneous (EPrints)4
Miscellaneous (GoAnywhere)1
Miscellaneous (GoKwik)1
Miscellaneous (Google Cloud Storage)13890
Miscellaneous (Google Code Prettify)12228
Miscellaneous (Gravatar)70396
Miscellaneous (HTTP/2)832
Miscellaneous (HTTP/3)2085478
Miscellaneous (History)182
Miscellaneous (Issuu)13242
Miscellaneous (JobberBase)7
Miscellaneous (K2)3529
Miscellaneous (Kakao)510
Miscellaneous (Lengow)21
Miscellaneous (Less)5955
Miscellaneous (Libravatar)1
Miscellaneous (Livewire)4427
Miscellaneous (Loqate)1272
Miscellaneous (LottieFiles)51284
Miscellaneous (Magewire)9
Miscellaneous (Module Federation)2256519
Miscellaneous (NewStore)26
Miscellaneous (Nextcloud)158
Miscellaneous (Open Graph)6455696
Miscellaneous (Oracle Dynamic Monitoring Service)481
Miscellaneous (PDF.js)6153
Miscellaneous (PWA)796534
Miscellaneous (ParkingCrew)4
Miscellaneous (Permutive)921
Miscellaneous (Pixc)9
Miscellaneous (Plaid)839
Miscellaneous (Popper)405327
Miscellaneous (Prefix-Free)9462
Miscellaneous (Prism)12943
Miscellaneous (Product Hunt)345
Miscellaneous (Pygments)145
Miscellaneous (RSS)4429972
Miscellaneous (ResponsiveVoice)2208
Miscellaneous (SOBI 2)40
Miscellaneous (SPDY)2
Miscellaneous (SWC)25898
Miscellaneous (SWFObject)94827
Miscellaneous (ServiceNow)637
Miscellaneous (SheerID)62
Miscellaneous (ShoppingFeeder)206
Miscellaneous (SobiPro)41
Miscellaneous (Splunkd)5
Miscellaneous (Spotify Web API)40
Miscellaneous (Sprig plugin)450
Miscellaneous (Sqreen)1
Miscellaneous (SyntaxHighlighter)3233
Miscellaneous (T1 Comercios)1
Miscellaneous (Tapcart)400
Miscellaneous (Vite)790
Miscellaneous (Vue2-animate)14
Miscellaneous (Webmin)45
Miscellaneous (Webpack)2476983
Miscellaneous (Websocket)40
Miscellaneous (WeltPixel Pearl Theme)629
Miscellaneous (Yext)12822
Miscellaneous (Zabbix)16
Miscellaneous (cgit)3
Miscellaneous (eNamad)91
Miscellaneous (iHomefinder IDX)1976
Miscellaneous (ownCloud)64
Miscellaneous (parcel)25898
Miscellaneous (petite-vue)70
Mobile frameworks (Enyo)4
Mobile frameworks (Mobify)345
Mobile frameworks (Wink)7662
Mobile frameworks (jQTouch)24
Mobile frameworks (jQuery Mobile)186281
Mobile frameworks (jQuery-pjax)8745
Network storage (IPFS)41
Network storage (Synology DiskStation)31
Operating systems (AlmaLinux)2450
Operating systems (CentOS)85951
Operating systems (Darwin)29
Operating systems (Debian)136207
Operating systems (Fedora)2852
Operating systems (FreeBSD)8562
Operating systems (Gentoo)5998
Operating systems (Raspbian)260
Operating systems (Red Hat)6105
Operating systems (SUSE)1191
Operating systems (Scientific Linux)95
Operating systems (SunOS)1
Operating systems (UNIX)224819
Operating systems (Ubuntu)238626
Operating systems (UniFi OS)5
Operating systems (Windows Server)422275
Operating systems (YunoHost)37
PaaS (Acquia Cloud Platform)7783
PaaS (Amazon Web Services)350451
PaaS (Aruba.it)105223
PaaS (Azure)47049
PaaS (Betty Blocks)3
PaaS (Cloudflare Workers)669
PaaS (Cloudways)25675
PaaS (Deno Deploy)29
PaaS (Deta)1
PaaS (Edgio)188
PaaS (Fly.io)1581
PaaS (Flywheel)58952
PaaS (GitHub Pages)9721
PaaS (Glitch)1
PaaS (Heroku)13348
PaaS (Hetzner)2
PaaS (Kinsta)32277
PaaS (Lagoon)385
PaaS (Netlify)25720
PaaS (Nexcess)130
PaaS (OXID eShop Enterprise Edition)316
PaaS (Pagely)1935
PaaS (Pantheon)18933
PaaS (Platform.sh)5360
PaaS (PlatformOS)229
PaaS (Pressable)6642
PaaS (PythonAnywhere)291
PaaS (Render)186
PaaS (Seravo)3607
PaaS (SiteGround)91351
PaaS (Spryker)35
PaaS (Tencent Cloud)24
PaaS (Vercel)20275
PaaS (WP Engine)211293
PaaS (WordPress VIP)2827
PaaS (WordPress.com)52344
PaaS (Yandex.Cloud)8
Page builders (Acquia Site Studio)61
Page builders (Adobe Portfolio)6153
Page builders (ApexPages)115
Page builders (BeyondMenu)1
Page builders (Boats Group)396
Page builders (Bold Page Builder)4626
Page builders (Breakdance)1400
Page builders (Bricks)2926
Page builders (Bricksite)55
Page builders (Bubble)217
Page builders (Cargo)4957
Page builders (Carrd)859
Page builders (Chinese Menu Online)477
Page builders (ClickFunnels)1643
Page builders (Colibri WP)9362
Page builders (Convertri)136
Page builders (Divi)462811
Page builders (Doteasy Website Builder)251
Page builders (Elementor)867437
Page builders (Flazio)1366
Page builders (Framer Sites)1021
Page builders (Frontastic)16
Page builders (Funnelish)3
Page builders (GemPages)2287
Page builders (GenerateBlocks)8188
Page builders (GoDaddy CoBlocks)34492
Page builders (GrapesJS)8
Page builders (Homestead)16232
Page builders (Hostinger Website Builder)810
Page builders (Hypervisual Page Builder)264
Page builders (Instapage)194
Page builders (JouwWeb)14875
Page builders (Launchrock)14
Page builders (LayoutHub)1473
Page builders (LiveCanvas)409
Page builders (MailerLite Website Builder)14
Page builders (Menufy Website)1774
Page builders (Mobirise)9717
Page builders (MySiteNow)1
Page builders (MyWebsite Creator)77991
Page builders (MyWebsite Now)4922
Page builders (MyWebsite)77951
Page builders (Mysitefy)1
Page builders (Nicepage)8213
Page builders (Notion)216
Page builders (Oopy)1
Page builders (Oracle Application Express)83
Page builders (Oxygen)20663
Page builders (PageFly)1803
Page builders (Pixieset Website)895
Page builders (Plasmic)32
Page builders (Platforma LP)28
Page builders (PromoBuilding)1
Page builders (Readymag)503
Page builders (STUDIO)34
Page builders (SeedProd Coming Soon)11985
Page builders (Semplice)3032
Page builders (Shogun Page Builder)5934
Page builders (Showit)4007
Page builders (Simvoly)1452
Page builders (SiteOrigin Page Builder)73662
Page builders (SiteW)2
Page builders (Softr)153
Page builders (SpotHopper)3472
Page builders (Stackable)8054
Page builders (Stackbit)142
Page builders (Super Builder)128
Page builders (The Church Co)1040
Page builders (Thrive Architect)10011
Page builders (Umso)81
Page builders (Unbounce)5267
Page builders (Unicorn Platform)60
Page builders (Vev)64
Page builders (Visual Composer)7947
Page builders (WebNode)24541
Page builders (WebZi)13
Page builders (Webflow)71417
Page builders (WebsiteBuilder)3598
Page builders (Ycode)5
Page builders (Yola)8443
Page builders (Zipify Pages)82
Page builders (wpBakery)555966
Payment processors (Adyen)18
Payment processors (Affirm)3446
Payment processors (Afterpay)4344
Payment processors (Amazon Pay)18923
Payment processors (American Express)70004
Payment processors (Amex Express Checkout)23
Payment processors (Aplazame)398
Payment processors (Apple Pay)121520
Payment processors (Bitcoin)102
Payment processors (Bolt Payments)148
Payment processors (Braintree)770
Payment processors (Bread)39
Payment processors (Catch)9
Payment processors (ChargeAfter)14
Payment processors (Chargebee)345
Payment processors (Checkout.com)82
Payment processors (CitrusPay)5
Payment processors (Coinbase Commerce)87
Payment processors (Conekta)28
Payment processors (Cybersource)214
Payment processors (DigitalRiver)5
Payment processors (DivideBuy)51
Payment processors (Divido)27
Payment processors (Facebook Pay)9
Payment processors (Forte)6
Payment processors (Four)161
Payment processors (Google Pay)57857
Payment processors (Google Wallet)162
Payment processors (Grab Pay Later)13
Payment processors (Heartland Payment Systems)18
Payment processors (Iamport)6
Payment processors (Instamojo)3
Payment processors (JUST)77
Payment processors (Juspay)1
Payment processors (Klarna Checkout)14888
Payment processors (KueskiPay)8
Payment processors (Lemon Squeezy)5
Payment processors (Liberapay)17
Payment processors (Mastercard)77439
Payment processors (Mokka)4
Payment processors (Mollie)1422
Payment processors (Moneris)444
Payment processors (Omise)7
Payment processors (OpenPay)12
Payment processors (Ordergroove)180
Payment processors (Pace)4
Payment processors (Paddle)122
Payment processors (PagSeguro)2
Payment processors (Partial.ly)10
Payment processors (Patreon)2973
Payment processors (PayBright)3
Payment processors (PayFast)1
Payment processors (PayPal)227427
Payment processors (PayWhirl)15
Payment processors (Payflex)5
Payment processors (Payl8r)25
Payment processors (Paysafe)35
Payment processors (Plaid)839
Payment processors (Plug\&Pay)1
Payment processors (Razorpay)120
Payment processors (Recharge)5271
Payment processors (Recurly)1702
Payment processors (Scalapay)740
Payment processors (Sezzle)2678
Payment processors (Shop Pay)114284
Payment processors (SkyVerge)7196
Payment processors (SplitIt)52
Payment processors (SpurIT Partial Payments App)182
Payment processors (SpurIT Recurring Payments App)259
Payment processors (Square)7856
Payment processors (Stripe)49328
Payment processors (T1 Pagos)1
Payment processors (Tabby)342
Payment processors (Tamara)5
Payment processors (Vanco Payment Solutions)3463
Payment processors (Venmo)53054
Payment processors (Verifone 2Checkout)2129
Payment processors (Visa Checkout)127
Payment processors (Visa)77415
Payment processors (Wirecard)5
Payment processors (WorldPay)598
Payment processors (YooMoney)7
Payment processors (Zip)699
Payment processors (bSecure)2
Payment processors (eWAY Payments)1062
Payment processors (iyzico)12
Payment processors (mobicred)8
Performance (AiSpeed)24
Performance (Autoptimize)141754
Performance (Azure Monitor)5201
Performance (Blitz)1104
Performance (Booster Page Speed Optimizer)3912
Performance (Cloudflare Rocket Loader)44766
Performance (Cloudflare Zaraz)88
Performance (EWWW Image Optimizer)32468
Performance (Fasterize)171
Performance (Flying Pages)3241
Performance (FlyingPress)1138
Performance (Google Cloud Trace)6976
Performance (Google PageSpeed)39742
Performance (Gumlet)197
Performance (Hyperspeed)26
Performance (ImageEngine)280
Performance (Instant.Page)10488
Performance (InstantClick)2035
Performance (Intersection Observer)1571
Performance (Jumbo)67
Performance (LazySizes unveilhooks plugin)4517
Performance (LazySizes)620053
Performance (Lozad.js)213076
Performance (NitroPack)15741
Performance (Partytown)935
Performance (PerfectApps Swift)557
Performance (Perfmatters)10402
Performance (Performance Lab)14716
Performance (Priority Hints)2242120
Performance (Queue-it)277
Performance (Quicklink)30229
Performance (Quicq)30
Performance (Sections.design Shopify App Optimization)256
Performance (ShortPixel Image Optimizer)156
Performance (Speed Kit)391
Performance (SpeedSize)28
Performance (Turbo)3520
Performance (Turbolinks)9068
Performance (WP Fastest Cache)108996
Performance (WP-Optimize)52208
Performance (Yottaa)614
Performance (a3 Lazy Load)15651
Personalisation (4-Tell)27
Personalisation (6sense)2925
Personalisation (Acquia Personalization)327
Personalisation (Actito)34
Personalisation (Adobe Target)6437
Personalisation (Apptus)38
Personalisation (Attentive)4639
Personalisation (Attraqt)87
Personalisation (Barilliance)7
Personalisation (Beyable)106
Personalisation (Blueknow)46
Personalisation (Bold Commerce)6796
Personalisation (BrainSINS)4
Personalisation (Breinify)2
Personalisation (BySide)28
Personalisation (Clerk.io)1097
Personalisation (Clinch)20
Personalisation (Combeenation)1
Personalisation (Connectif)557
Personalisation (Coveo)1289
Personalisation (Cross Sell)787
Personalisation (Customily)139
Personalisation (Cxense)1177
Personalisation (Demandbase)1736
Personalisation (Depict)24
Personalisation (Dynamic Yield)1272
Personalisation (Fanplayr)36
Personalisation (Findify)101
Personalisation (Fit Analytics)6
Personalisation (HulkApps Infinite Product Options)1921
Personalisation (Jivox)74
Personalisation (Justuno)2299
Personalisation (Kibo Personalization)719
Personalisation (Kiwi Sizing)1974
Personalisation (LimeSpot)596
Personalisation (Linx Impulse)5
Personalisation (Loop54)28
Personalisation (Movable Ink)549
Personalisation (Nosto)976
Personalisation (Obviyo)75
Personalisation (Optimizely)19115
Personalisation (Oracle Maxymiser)312
Personalisation (PersonaClick)9
Personalisation (Personizely)273
Personalisation (Perzonalization)64
Personalisation (Piano)736
Personalisation (Poloriz)3
Personalisation (Potions)41
Personalisation (Prediggo)1
Personalisation (Printful)4434
Personalisation (Product Personalizer)785
Personalisation (Qstomizer)68
Personalisation (Qubit)57
Personalisation (Raptor)124
Personalisation (Rebuy)1808
Personalisation (RecoverMyCart)1384
Personalisation (Reelevant)5
Personalisation (Reflektion)85
Personalisation (Relewise)23
Personalisation (Retail Rocket)130
Personalisation (RevLifter)59
Personalisation (Revieve)11
Personalisation (RichRelevance)92
Personalisation (Rokt)88
Personalisation (Sailthru)658
Personalisation (SaleCycle)119
Personalisation (SalesFire)871
Personalisation (Salesforce Interaction Studio)1147
Personalisation (Sizebay)2
Personalisation (Syndeca)4
Personalisation (Syte)56
Personalisation (Target2Sell)78
Personalisation (The Hotels Network)2049
Personalisation (Trbo)151
Personalisation (Triggerbee)216
Personalisation (True Fit)19
Personalisation (Twik)213
Personalisation (Unbxd)99
Personalisation (Usizy)21
Personalisation (VerifyPass)413
Personalisation (Visely)15
Personalisation (Vue.ai)8
Personalisation (Wair)57
Personalisation (WebEngage)130
Personalisation (Worldz)94
Personalisation (XGen Ai)27
Personalisation (Yieldify)193
Personalisation (Zakeke Interactive Product Designer)210
Personalisation (Zakeke Visual Customizer)228
Personalisation (Zakeke)540
Personalisation (Zoho PageSense)3503
Personalisation (iGoDigital)1649
Personalisation (uMarketingSuite)77
Photo galleries (Chevereto)2
Photo galleries (Coppermine)20
Photo galleries (FooPlugins FooGallery)4391
Photo galleries (Gallery)18
Photo galleries (Imagely NextGEN Gallery)27920
Photo galleries (JAlbum)74
Photo galleries (Master Slider)39031
Photo galleries (NextGEN Gallery)41636
Photo galleries (Photo Gallery)40368
Photo galleries (PhotoSwipe)214928
Photo galleries (Piwigo)82
Photo galleries (Responsive Lightbox & Gallery)39856
Photo galleries (Slider Revolution)806031
Photo galleries (SmugMug)1029
Photo galleries (Zenfolio)1884
Programming languages (Adobe Flash)54985
Programming languages (AsciiDoc)6
Programming languages (C)61
Programming languages (CFML)131414
Programming languages (Dart)385
Programming languages (Elixir)534
Programming languages (Elm)77
Programming languages (Erlang)7975
Programming languages (GeneXus)2
Programming languages (Go)62
Programming languages (GraphQL)8042
Programming languages (Haskell)4
Programming languages (Java)109551
Programming languages (KPHP)2
Programming languages (Lua)194
Programming languages (Node.js)126069
Programming languages (PHP)6476741
Programming languages (Perl)7016
Programming languages (Python)42539
Programming languages (Ruby)114397
Programming languages (Rust)3
Programming languages (Sass)145
Programming languages (Scala)1424
Programming languages (TypeScript)66806
Programming languages (WebAssembly)2
Programming languages (XSLT)2601
RUM (Akamai mPulse)43620
RUM (Amazon CloudWatch RUM)317
RUM (AppDynamics)998
RUM (Atatus)38
RUM (Blue Triangle)196
RUM (Boomerang)199635
RUM (Cloudflare Browser Insights)73601
RUM (Datadog)23541
RUM (Dynatrace RUM)4211
RUM (Eggplant)39
RUM (Elastic APM)8012
RUM (Instana)398
RUM (Microsoft Application Insights)5103
RUM (New Relic)112634
RUM (Pingdom RUM)4675
RUM (Quanta)21
RUM (RapidSpike)57
RUM (Raygun)835
RUM (Sematext Experience)28
RUM (Site24x7)7408
RUM (SpeedCurve)540
RUM (Splunk RUM)2
RUM (Stackify)13
RUM (Uptrends)226
RUM (web-vitals)208364
Recruitment & staffing (ApplicantStack)365
Recruitment & staffing (BambooHR)1919
Recruitment & staffing (Comeet)14
Recruitment & staffing (DreamApply)1
Recruitment & staffing (Ellucian CRM Recruit)110
Recruitment & staffing (Freshteam)154
Recruitment & staffing (Greenhouse)316
Recruitment & staffing (Hireology)725
Recruitment & staffing (HrFlow\.ai)4
Recruitment & staffing (JobAdder)83
Recruitment & staffing (JobberBase)7
Recruitment & staffing (Jobvite)560
Recruitment & staffing (Lever)620
Recruitment & staffing (OTYS)56
Recruitment & staffing (PCRecruiter)183
Recruitment & staffing (Paradox)138
Recruitment & staffing (Paylocity)2053
Recruitment & staffing (Personio)985
Recruitment & staffing (Recruitee)1577
Recruitment & staffing (SmartRecruiters)742
Recruitment & staffing (WP Job Openings)5872
Recruitment & staffing (Workable)1690
Referral marketing (Aklamio)169
Referral marketing (Ambassador)65
Referral marketing (Buyapowa)16
Referral marketing (Extole)112
Referral marketing (Flocktory)9
Referral marketing (Friendbuy)274
Referral marketing (Lootly)65
Referral marketing (Mention Me)44
Referral marketing (ReferralCandy)197
Referral marketing (Rise.ai)1300
Referral marketing (SaaSquatch)16
Referral marketing (SpurIT Loyalty App)28
Referral marketing (Talkable)331
Referral marketing (Viral Loops)114
Referral marketing (eBay Partner Network)133
Remote access (Pulse Secure)4
Remote access (ShellInABox)2
Reservations & delivery (Bentobox)4374
Reservations & delivery (BeyondMenu)1
Reservations & delivery (BookDinners)160
Reservations & delivery (Bookatable)256
Reservations & delivery (Chinese Menu Online)477
Reservations & delivery (CoverManager)250
Reservations & delivery (Fleksa)13
Reservations & delivery (Food-Ordering.co.uk)5
Reservations & delivery (FoodBooking)4650
Reservations & delivery (Formitable)2608
Reservations & delivery (GloriaFood)4670
Reservations & delivery (Guestonline)123
Reservations & delivery (Hostmeapp)33
Reservations & delivery (Lieferando)2293
Reservations & delivery (Menufy Online Ordering)1851
Reservations & delivery (OpenTable)508
Reservations & delivery (PizzaNetz)4
Reservations & delivery (Popmenu)1
Reservations & delivery (ResDiary)891
Reservations & delivery (Resengo)270
Reservations & delivery (Reserve In-Store)26
Reservations & delivery (Reservio)499
Reservations & delivery (Resmio)413
Reservations & delivery (Resy)1863
Reservations & delivery (Slice)2976
Reservations & delivery (TableBooker)552
Reservations & delivery (TableCheck)3
Reservations & delivery (Thefork)485
Reservations & delivery (Upserve)780
Reservations & delivery (Yelp Reservations)290
Reservations & delivery (Zuppler)53
Retargeting (AdRoll)24410
Retargeting (Albacross)3131
Retargeting (Blue)92
Retargeting (Criteo)19775
Retargeting (Cross Pixel)42
Retargeting (Linx Impulse)5
Retargeting (OptiMonk)3805
Retargeting (PebblePost)631
Retargeting (Picreel)13
Retargeting (RTB House)289
Retargeting (SharpSpring Ads)7739
Retargeting (Smarter Click)532
Retargeting (Squadata)57
Retargeting (SteelHouse)304
Retargeting (Yahoo Advertising)344
Returns (AfterShip Returns Center)471
Returns (Happy Returns)123
Returns (Loop Returns)600
Returns (Narvar)123
Returns (Refundid)2
Returns (ReturnGO)522
Returns (Returnly)16
Returns (ShippyPro)2
Returns (Shoprunner)30
Returns (Sorted Return)25
Reverse proxies (EZproxy)1
Reverse proxies (Envoy)55573
Reverse proxies (F5 BigIP)268
Reverse proxies (IBM DataPower)43
Reverse proxies (Kong)374
Reverse proxies (Nginx)3816438
Reviews (Autoketing Product Reviews)12
Reviews (Avis Verifies)2977
Reviews (Bazaarvoice Reviews)2099
Reviews (Clutch)845
Reviews (Contlo)25
Reviews (Feefo)2815
Reviews (Fera)1663
Reviews (FireApps Ali Reviews)1
Reviews (Google Customer Reviews)5531
Reviews (HulkApps Product Reviews)57
Reviews (Judge.me)6196
Reviews (Junip)386
Reviews (Kudobuzz)511
Reviews (Letro)2
Reviews (Loox)4218
Reviews (Okendo)902
Reviews (Orankl)46
Reviews (PowerReviews)1140
Reviews (Reevoo)131
Reviews (Reputon)1096
Reviews (ReviewSolicitors)629
Reviews (Reviews.io)350
Reviews (Rich Plugins Reviews)23043
Reviews (Ryviu)565
Reviews (Shopify Product Reviews)30010
Reviews (SiteJabber)6
Reviews (SocialJuice)9
Reviews (Societe des Avis Garantis)533
Reviews (Stamped)6063
Reviews (TestFreaks)94
Reviews (Thimatic)244
Reviews (Trusted Shops)10389
Reviews (Trustindex)967
Reviews (Trustpilot)111833
Reviews (Trustspot)223
Reviews (Trustvox)10
Reviews (U-KOMI)3
Reviews (Yotpo Reviews)11128
Rich text editors (Ace)454
Rich text editors (CKEditor)16157
Rich text editors (Editor.js)7
Rich text editors (FreeTextBox)1
Rich text editors (Froala Editor)17130
Rich text editors (Monaco Editor)61
Rich text editors (Quill)3100
Rich text editors (TinyMCE)15276
Rich text editors (Trix)299
Rich text editors (WysiBB)7
SEO (Ahrefs)16602
SEO (All in One SEO Pack)32908
SEO (Alli)872
SEO (Avada SEO)3225
SEO (BrightEdge)1518
SEO (RankMath SEO)192470
SEO (SEOmatic)8142
SEO (The SEO Framework)19672
SEO (Yoast SEO Premium)103881
SEO (Yoast SEO for Shopify)1047
SEO (Yoast SEO)2088987
SSL/TLS certificate authorities (AWS Certificate Manager)127744
SSL/TLS certificate authorities (DigiCert)92149
SSL/TLS certificate authorities (Identrust)22
SSL/TLS certificate authorities (Let's Encrypt)20901
SSL/TLS certificate authorities (Sectigo)1013056
Search engines (Addsearch)945
Search engines (Algolia)13365
Search engines (Apisearch)24
Search engines (Athena Search)3
Search engines (Attraqt)87
Search engines (Awesomplete)8360
Search engines (Bloomreach Discovery)428
Search engines (Boost Commerce)3374
Search engines (Coveo)1289
Search engines (Doofinder)7343
Search engines (ElasticSuite)2192
Search engines (Elasticsearch)11001
Search engines (ExpertRec)183
Search engines (FAST ESP)13
Search engines (Fact Finder)14
Search engines (Findify)101
Search engines (GroupBy)21
Search engines (Klevu)1327
Search engines (Loop54)28
Search engines (Luigi’s Box)922
Search engines (MageWorx Search Autocomplete)712
Search engines (Meilisearch)58
Search engines (SalesFire)871
Search engines (Searchanise)3603
Search engines (SearchiQ)3
Search engines (Searchspring)416
Search engines (Site Search 360)3121
Search engines (SniperFast)67
Search engines (Swiftype)792
Search engines (Syte)56
Search engines (Unbxd)99
Search engines (VuFind)7
Search engines (Yext)12822
Security (AWS WAF Captcha)89
Security (Akamai Bot Manager)11689
Security (Akamai Web Application Protector)8276
Security (Alibaba Cloud Verification Code)36
Security (AntiBot.Cloud)27
Security (Basic)8969
Security (Blue Triangle)196
Security (ClickCease)14473
Security (Cloudflare Bot Management)218353
Security (Cloudflare Turnstile)80002
Security (CoinHive Captcha)6
Security (Confiant)1411
Security (DDoS-Guard)1715
Security (Datadome)13253
Security (Digest)82
Security (Forter)2572
Security (FraudLabs Pro)68
Security (Friendly Captcha)6442
Security (GeeTest)72
Security (HSTS)3215077
Security (Human Presence)471
Security (Imperva)20088
Security (Imunify360)206
Security (Konduto)17
Security (Kount)53
Security (Limit Login Attempts Reloaded)124
Security (MTCaptcha)1731
Security (Mollom)62
Security (NTLM)45
Security (NoFraud)957
Security (Norton Shopping Guarantee)179
Security (Onfido)12
Security (PerimeterX)926
Security (RapidSec)31
Security (Riskified)624
Security (SPNEGO)166
Security (Sift)526
Security (Signifyd)1271
Security (SiteGuard WP Plugin)2
Security (Slider Captcha)119
Security (Solve Media)1
Security (Sqreen)1
Security (Sucuri)76593
Security (Tencent Waterproof Wall)22
Security (ThreatMetrix)70
Security (TruValidate)995
Security (Variti)645
Security (Very Good Security)544
Security (Wordfence Login Security)630
Security (Wordfence)82
Security (hCaptcha)25713
Security (iThemes Security)2480
Security (reCAPTCHA)2264399
Segmentation (Adobe Audience Manager)14888
Segmentation (Cxense)1177
Segmentation (Oracle BlueKai)1833
Segmentation (Salesforce Audience Studio)1698
Segmentation (Salesforce Interaction Studio)1147
Segmentation (Sirdata)1586
Segmentation (Tealium AudienceStream)500
Segmentation (Viafoura)55
Shipping carriers (APC)1940
Shipping carriers (Asendia)25
Shipping carriers (Australia Post)88
Shipping carriers (B2C Europe)1
Shipping carriers (BRT)402
Shipping carriers (Billbee)8
Shipping carriers (Boxtal)4
Shipping carriers (Bpost)274
Shipping carriers (Budbee)39
Shipping carriers (CTT)204
Shipping carriers (Celeritas)15
Shipping carriers (Chronofresh)157
Shipping carriers (Chronopost)474
Shipping carriers (CityMail)2
Shipping carriers (Colis Privé)1
Shipping carriers (Colissimo)1321
Shipping carriers (Correos)869
Shipping carriers (DHL)12315
Shipping carriers (DPD)3105
Shipping carriers (DX)2159
Shipping carriers (Dachser)53
Shipping carriers (Delivengo)3
Shipping carriers (Deutsche Post)233
Shipping carriers (Easylog)9
Shipping carriers (Ecovium)252
Shipping carriers (Envialia)12
Shipping carriers (FedEx)2879
Shipping carriers (France Express)16
Shipping carriers (Frequenceo)1
Shipping carriers (GEODIS)66
Shipping carriers (GLS)3165
Shipping carriers (Hermes)2277
Shipping carriers (Homerr)33
Shipping carriers (LogoiX)5
Shipping carriers (MRW)131
Shipping carriers (Mondial Relay)529
Shipping carriers (NACEX)58
Shipping carriers (Narvar)123
Shipping carriers (Nexive)8
Shipping carriers (Osterreichische Post)69
Shipping carriers (Packlink PRO)647
Shipping carriers (Parcelforce)131
Shipping carriers (PostNL)3491
Shipping carriers (Poste Italiane)159
Shipping carriers (Red je Pakketje)4
Shipping carriers (Relais Colis)148
Shipping carriers (Royal Mail)1737
Shipping carriers (SEUR)129
Shipping carriers (ShipStation)86
Shipping carriers (T1 Envios)1
Shipping carriers (Tipsa)187
Shipping carriers (Transmart)1
Shipping carriers (Trunkrs)26
Shipping carriers (UK Mail)33
Shipping carriers (UPS)15966
Shipping carriers (USPS)3012
Shipping carriers (Whistl)8
Shipping carriers (Yodel)44
Shipping carriers (Zeleris)8
Shopify apps (Accentuate Custom Fields)292
Shopify apps (Affilo)108
Shopify apps (AiSpeed)24
Shopify apps (Autoketing Product Reviews)12
Shopify apps (Avada AVASHIP)185
Shopify apps (Avada Boost Sales)370
Shopify apps (Avada SEO)3225
Shopify apps (Avada Size Chart)452
Shopify apps (BON Loyalty)378
Shopify apps (Back In Stock)4541
Shopify apps (Beam AfterSell)2
Shopify apps (Beam OutSell)99
Shopify apps (Better Price)12
Shopify apps (BiteSpeed)52
Shopify apps (Bold Brain)3
Shopify apps (Bold Bundles)667
Shopify apps (Bold Custom Pricing)754
Shopify apps (Bold Motivator)1
Shopify apps (Bold Product Options)1842
Shopify apps (Bold Subscriptions)961
Shopify apps (Bold Upsell)884
Shopify apps (BookThatApp)1029
Shopify apps (Boost Commerce)3374
Shopify apps (Booster Page Speed Optimizer)3912
Shopify apps (CJDropshipping app)230
Shopify apps (CareCart Sales Pop Up)701
Shopify apps (CareCart)236
Shopify apps (Carro)841
Shopify apps (Coin Currency Converter)72
Shopify apps (Conjured)4
Shopify apps (Conversio App)18
Shopify apps (Covet.pics)1995
Shopify apps (Cozy AntiTheft)574
Shopify apps (Digismoothie Candy Rack)784
Shopify apps (Easy Hide PayPal)41
Shopify apps (Easy Redirects)5
Shopify apps (EasyGift)1552
Shopify apps (Enlistly)135
Shopify apps (EraofEcom Cartroids)6
Shopify apps (EraofEcom MTL)18
Shopify apps (EraofEcom WinAds)95
Shopify apps (Exemptify)258
Shopify apps (Fast Bundle)740
Shopify apps (Fera Product Reviews App)606
Shopify apps (FireApps Ali Reviews)1
Shopify apps (Firepush)212
Shopify apps (Flits)200
Shopify apps (Fontify)16
Shopify apps (Frequently Bought Together)635
Shopify apps (GTranslate app)1086
Shopify apps (GemPages)2287
Shopify apps (Gist Giftship)1
Shopify apps (Globo Also Bought)381
Shopify apps (Globo Color Swatch)79
Shopify apps (Globo Form Builder)2178
Shopify apps (Globo Pre-Order)1155
Shopify apps (Helixo UFE)607
Shopify apps (Hextom Free Shipping Bar)5282
Shopify apps (Hextom Ultimate Sales Boost)1698
Shopify apps (HulkApps Age Verification)377
Shopify apps (HulkApps Form Builder)3288
Shopify apps (HulkApps GDPR/CCPA Compliance Manager)343
Shopify apps (HulkApps Infinite Product Options)1921
Shopify apps (HulkApps Product Reviews)57
Shopify apps (Hyperspeed)26
Shopify apps (Hypervisual Page Builder)264
Shopify apps (In Cart Upsell & Cross-Sell)922
Shopify apps (Instafeed)7472
Shopify apps (Jilt App)372
Shopify apps (Justuno App)757
Shopify apps (LangShop)641
Shopify apps (LayoutHub)1473
Shopify apps (Leaflet platform)13
Shopify apps (Littledata)230
Shopify apps (Livescale)15
Shopify apps (Locksmith)2705
Shopify apps (Loox)4218
Shopify apps (MinMaxify)2581
Shopify apps (Neat A/B testing)8
Shopify apps (Obviyo)75
Shopify apps (Okendo)902
Shopify apps (Omnisend Email Marketing & SMS)6631
Shopify apps (Order Deadline)300
Shopify apps (OrderLogic app)318
Shopify apps (Ordersify Product Alerts)756
Shopify apps (Packlink PRO)647
Shopify apps (Paloma)13
Shopify apps (PerfectApps Swift)557
Shopify apps (PickyStory)419
Shopify apps (Privy App)6739
Shopify apps (Product Personalizer)785
Shopify apps (PushDaddy Whatsapp Chat)467
Shopify apps (PushOwl Web Push Notifications)2078
Shopify apps (Qikify)2554
Shopify apps (ReConvert)3
Shopify apps (Rebuy)1808
Shopify apps (Recomify)13
Shopify apps (RecoverMyCart)1384
Shopify apps (Reputon)1096
Shopify apps (Reserve In-Store)26
Shopify apps (Revy)1722
Shopify apps (Seal Subscriptions)1680
Shopify apps (Secomapp)3067
Shopify apps (Sections.design Shopify App Optimization)256
Shopify apps (ShipTection)34
Shopify apps (Shogun Landing Page Builder)5221
Shopify apps (ShopPad Infinite Options)4665
Shopify apps (Shopapps)720
Shopify apps (Shopify Buy Button)1367
Shopify apps (Shopify Chat)25817
Shopify apps (Shopify Consent Management)1003
Shopify apps (Shopify Geolocation App)1
Shopify apps (Shopify Product Reviews)30010
Shopify apps (Shortly)16
Shopify apps (Simplio Upsells)6
Shopify apps (Sirge)12
Shopify apps (Skio)139
Shopify apps (Smile App)7061
Shopify apps (Spin-a-Sale)80
Shopify apps (SpurIT Abandoned Cart Reminder)19
Shopify apps (SpurIT Loyalty App)28
Shopify apps (SpurIT Partial Payments App)182
Shopify apps (SpurIT Recurring Payments App)259
Shopify apps (SuperLemon app)5
Shopify apps (Swym Wishlist Plus)4426
Shopify apps (Tabarnapp)1109
Shopify apps (Tada)21
Shopify apps (Thimatic)244
Shopify apps (Trackify X)325
Shopify apps (Transcy)1275
Shopify apps (Tyslo EasySell)11
Shopify apps (Visely)15
Shopify apps (Visual Quiz Builder)91
Shopify apps (Vitals)881
Shopify apps (WideBundle)205
Shopify apps (Wishlist King)252
Shopify apps (YMQ Product Options Variant Option)322
Shopify apps (Yoast SEO for Shopify)1047
Shopify apps (YouPay)6
Shopify apps (Zakeke Visual Customizer)228
Shopify apps (Zipify OCU)19
Shopify apps (Zipify Pages)82
Static site generator (Astro)3037
Static site generator (Cecil)2
Static site generator (Docusaurus)283
Static site generator (Eleventy)76
Static site generator (Gatsby)15849
Static site generator (Gridsome)520
Static site generator (Hexo)129
Static site generator (Hugo)6698
Static site generator (Jekyll)1758
Static site generator (Next.js)54158
Static site generator (Nextra)2
Static site generator (Nuxt.js)19822
Static site generator (Octopress)36
Static site generator (Pelican)43
Static site generator (Phenomic)12
Static site generator (Retype)17
Static site generator (Saber)3
Static site generator (Scully)168
Static site generator (SitePad)1266
Static site generator (VitePress)20
Static site generator (VuePress)67
Surveys (Formidable Form)53119
Surveys (Getsitecontrol)4296
Surveys (Hotjar Incoming Feedback)2
Surveys (HulkApps Form Builder)3288
Surveys (InMoment)74
Surveys (Medallia)867
Surveys (OpinionLab)94
Surveys (Qualaroo)268
Surveys (Qualtrics)2284
Surveys (Segmanta)7
Surveys (Service Management Group)57
Surveys (Sprig)50
Surveys (Survicate)435
Surveys (Tally)390
Surveys (Typeform)3460
Surveys (UserReport)113
Surveys (UserVoice)193
Surveys (Wufoo)1414
Tag managers (Adobe DTM)1893
Tag managers (Adobe Experience Platform Launch)29068
Tag managers (Commanders Act TagCommander)2304
Tag managers (Ensighten)13228
Tag managers (Google Tag Manager)1477220
Tag managers (Matomo Tag Manager)8124
Tag managers (Signal)1735
Tag managers (TagPro)3
Tag managers (Tealium)32542
Tag managers (Yahoo! Tag Manager)2
Tag managers (Yottaa)614
Ticket booking (Etix)526
Translation (Bablic)576
Translation (ConveyThis)615
Translation (GTranslate app)1086
Translation (GTranslate)39712
Translation (LangShop)641
Translation (Polylang)130970
Translation (Smartling)6
Translation (Transcy)1275
Translation (Translate WordPress)17897
Translation (WPML)220892
Translation (Weglot)17190
Translation (WooCommerce Multilingual)23098
Translation (langify)2470
UI frameworks (Angular Material)1395
UI frameworks (Animate.css)467200
UI frameworks (Ant Design)1564
UI frameworks (Aura)5
UI frameworks (Bootstrap)2769333
UI frameworks (Bulma)1770
UI frameworks (Chakra UI)1079
UI frameworks (CivicTheme)69571
UI frameworks (Clarity)21
UI frameworks (CoreUI)26
UI frameworks (Element UI)5586
UI frameworks (Flat UI)892
UI frameworks (Flowbite)152
UI frameworks (Flutter)165
UI frameworks (GOV.UK Elements)14
UI frameworks (GOV.UK Frontend)206
UI frameworks (GOV.UK Template)77
UI frameworks (GOV.UK Toolkit)85
UI frameworks (Headless UI)2796
UI frameworks (Kendo UI)17294
UI frameworks (Layui)690
UI frameworks (MDBootstrap)3458
UI frameworks (MDUI)11
UI frameworks (MUI)8801
UI frameworks (Marko)18828
UI frameworks (Material Design Lite)44099
UI frameworks (Materialize CSS)4261
UI frameworks (MetroUI)36
UI frameworks (Milligram)112
UI frameworks (NSW Design System)2
UI frameworks (Naive UI)15
UI frameworks (NextUI)28
UI frameworks (Pico CSS)46
UI frameworks (Preline UI)21
UI frameworks (Pure CSS)8575
UI frameworks (Radix UI)576
UI frameworks (Semantic UI)3025
UI frameworks (Spatie Media Library Pro)10
UI frameworks (Storefront UI)58
UI frameworks (Storybook)19
UI frameworks (SvelteKit)437
UI frameworks (TDesign)58
UI frameworks (Tachyons)323
UI frameworks (Tailwind CSS)19449
UI frameworks (UIKit)117682
UI frameworks (USWDS)342
UI frameworks (UnoCSS)20
UI frameworks (VKUI)1
UI frameworks (Vant)9
UI frameworks (Vuetify)3037
UI frameworks (W3.CSS)6642
UI frameworks (ZURB Foundation)279150
UI frameworks (daisyUI)15
UI frameworks (siimple)1
User onboarding (Appcues)2344
User onboarding (Chameleon)4
User onboarding (Hansel)9
User onboarding (Instabot)170
User onboarding (Pendo)3628
User onboarding (Userflow)9
User onboarding (Userpilot)17
User onboarding (WalkMe)80
User onboarding (Whatfix)133
Video players (Aniview Video Ad Player)10
Video players (Asciinema)17
Video players (Brightcove)5592
Video players (Cloudflare Stream)372
Video players (Conviva)24
Video players (DPlayer)40
Video players (Flowplayer)13944
Video players (JW Player)12488
Video players (Kaltura)9412
Video players (Magisto)542
Video players (MediaElement.js)515883
Video players (Plyr)29981
Video players (Rumble)152
Video players (STN Video)433
Video players (Shaka Player)763
Video players (SublimeVideo)66
Video players (Twitch Player)43795
Video players (Uscreen)48
Video players (VideoJS)172444
Video players (Vimeo OTT)31
Video players (Vimeo)422513
Video players (Viqeo)5
Video players (Wistia)14512
Video players (Wowza Video Player)3
Video players (YouTube)744329
Video players (jPlayer)29159
Web frameworks (ABP Framework)4
Web frameworks (ASP.NET Boilerplate)52
Web frameworks (Adobe ColdFusion)131293
Web frameworks (AdonisJS)34
Web frameworks (Akka HTTP)8
Web frameworks (AngularDart)12
Web frameworks (Apache Wicket)459
Web frameworks (Banshee)2
Web frameworks (Blazor)961
Web frameworks (Blitz.js)5
Web frameworks (Bonfire)46
Web frameworks (Bubble)217
Web frameworks (CakePHP)5070
Web frameworks (CodeIgniter)26018
Web frameworks (Dancer)29
Web frameworks (Django)11671
Web frameworks (Express)23196
Web frameworks (Fat-Free Framework)683
Web frameworks (Flask)567
Web frameworks (Frappe)71
Web frameworks (Fresh)10
Web frameworks (Frontity)81
Web frameworks (GLPI)7
Web frameworks (Google Web Toolkit)4185
Web frameworks (GrapesJS)8
Web frameworks (Helix Ultimate)42979
Web frameworks (Ionic)4925
Web frameworks (Java Servlet)793
Web frameworks (JavaServer Faces)598
Web frameworks (JavaServer Pages)436
Web frameworks (Kemal)3
Web frameworks (Koala Framework)26
Web frameworks (Kohana)230
Web frameworks (Laravel)73563
Web frameworks (Leptos)3
Web frameworks (Lift)13
Web frameworks (Livewire)4427
Web frameworks (Macaron)6
Web frameworks (Marko)18828
Web frameworks (MasterkinG32 Framework)1
Web frameworks (Meteor)744
Web frameworks (Microsoft ASP.NET)650882
Web frameworks (Mojolicious)18
Web frameworks (Mono)263
Web frameworks (Neos Flow)1880
Web frameworks (Nette Framework)18960
Web frameworks (Next.js)54158
Web frameworks (Nuxt.js)19822
Web frameworks (Phoenix Framework)534
Web frameworks (Phoenix LiveView)350
Web frameworks (Phoenix)307
Web frameworks (Play)1411
Web frameworks (Qwik)40
Web frameworks (RedwoodJS)9
Web frameworks (Remix)699
Web frameworks (Revel)6
Web frameworks (Ruby on Rails)110258
Web frameworks (Sails.js)125
Web frameworks (Sapper)290
Web frameworks (Shiny)3
Web frameworks (SolidStart)45
Web frameworks (Spring)2282
Web frameworks (Stencil)176
Web frameworks (StimulusReflex)62
Web frameworks (Symfony)16709
Web frameworks (ThinkPHP)494
Web frameworks (TwistPHP)1
Web frameworks (Vaadin)30
Web frameworks (Web2py)93
Web frameworks (Yii)20863
Web frameworks (ZK)36
Web frameworks (total.js)48
Web server extensions (Google PageSpeed)39742
Web server extensions (OpenSSL)131877
Web server extensions (Shelf)85
Web server extensions (mod\_auth\_pam)685
Web server extensions (mod\_dav)3971
Web server extensions (mod\_fastcgi)2076
Web server extensions (mod\_jk)2632
Web server extensions (mod\_perl)6615
Web server extensions (mod\_python)10595
Web server extensions (mod\_rack)253
Web server extensions (mod\_rails)253
Web server extensions (mod\_ssl)10333
Web server extensions (mod\_wsgi)2646
Web servers (AOLserver)11
Web servers (Akka HTTP)8
Web servers (Amazon EC2)4439
Web servers (Angie)6
Web servers (Apache HTTP Server)4780863
Web servers (Apache Tomcat)8174
Web servers (Apache Traffic Server)16317
Web servers (Caddy)14855
Web servers (Centminmod)1699
Web servers (Cherokee)18
Web servers (CherryPy)25
Web servers (CouchDB)2
Web servers (Cowboy)7530
Web servers (Daphne)1
Web servers (Deno)34
Web servers (EZproxy)1
Web servers (EmbedThis Appweb)4
Web servers (Express)23196
Web servers (Flask)567
Web servers (Fresh)10
Web servers (GlassFish)102
Web servers (GoAhead)1
Web servers (Google Web Server)2329
Web servers (H2O)52
Web servers (HCL Domino)961
Web servers (HHVM)54
Web servers (Hiawatha)24
Web servers (Hypercorn)2
Web servers (IBM HTTP Server)10
Web servers (IIS)416951
Web servers (Indy)5
Web servers (JBoss Application Server)219
Web servers (JBoss Web)56
Web servers (Jetty)279
Web servers (Kemal)3
Web servers (Kestrel)4243
Web servers (LiteSpeed)610871
Web servers (Microsoft HTTPAPI)54501
Web servers (MiniServ)45
Web servers (Mongrel)9
Web servers (Monkey HTTP Server)2
Web servers (Next.js)54158
Web servers (Nginx)3816438
Web servers (Nuxt.js)19822
Web servers (OpenBSD httpd)192
Web servers (OpenGSE)14703
Web servers (OpenResty)640486
Web servers (Oracle Application Server)44
Web servers (Oracle HTTP Server)47
Web servers (Oracle WebLogic Server)481
Web servers (Phusion Passenger)14746
Web servers (Remix)699
Web servers (Resin)371
Web servers (RoadRunner)7
Web servers (SimpleHTTP)8
Web servers (SolidStart)45
Web servers (Starlet)28
Web servers (Tengine)2175
Web servers (TornadoServer)26
Web servers (TwistedWeb)11
Web servers (Uvicorn)70
Web servers (WEBrick)206
Web servers (Warp)4
Web servers (Winstone Servlet Container)1
Web servers (Xitami)4
Web servers (Yaws)11
Web servers (Zend)152
Web servers (Zope)857
Web servers (gunicorn)3452
Web servers (libwww-perl-daemon)1
Web servers (lighttpd)1953
Web servers (mini\_httpd)11
Web servers (nghttpx - HTTP/2 proxy)1
Web servers (thttpd)15
Webmail (Open-Xchange App Suite)24
Webmail (Outlook Web App)846
Webmail (RainLoop)76
Webmail (RoundCube)2161
Webmail (SquirrelMail)355
Webmail (Zimbra)224
Widgets (AccuWeather)991
Widgets (AddShoppers)1121
Widgets (AddThis)83154
Widgets (AddToAny)60095
Widgets (AirRobe)13
Widgets (Airtable)537
Widgets (Algolia DocSearch)42
Widgets (AnswerDash)41
Widgets (Astra Widgets)4295
Widgets (Avada Boost Sales)370
Widgets (Avasize)1
Widgets (Babylist)22
Widgets (BandsInTown Events Widget)800
Widgets (Birdeye)4313
Widgets (Bokun)16
Widgets (Booking.com widget)277
Widgets (Bookingkit)1
Widgets (Booksy)241
Widgets (Browser-Update.org)15083
Widgets (Buttonizer)9048
Widgets (Buy me a coffee)446
Widgets (Caast.tv)22
Widgets (Captivate.fm)96
Widgets (CareCart Sales Pop Up)701
Widgets (Chatango)13
Widgets (Checkfront)121
Widgets (Cloverly)2
Widgets (Clutch)845
Widgets (CoconutSoftware)1
Widgets (CodeSandbox)2
Widgets (Comeet)14
Widgets (Crobox)6
Widgets (Daily Deals)58
Widgets (DailyKarma)241
Widgets (EX.CO)47
Widgets (Elfsight)42490
Widgets (EmbedSocial)2345
Widgets (Embedly)537
Widgets (Envybox)44
Widgets (Eveve)12
Widgets (FareHarbor)5681
Widgets (FlexSlider)60859
Widgets (FlippingBook)960
Widgets (FullCalendar)45641
Widgets (Genesys Cloud)643
Widgets (GetButton)3631
Widgets (Getsitecontrol)4296
Widgets (GoCertify)60
Widgets (Gravitec)283
Widgets (Gumstack)2
Widgets (Hello Bar)3201
Widgets (Infogram)116
Widgets (Instabot)170
Widgets (Interact)201
Widgets (Issuu)13242
Widgets (Izooto)157
Widgets (Ko-fi)336
Widgets (Mangeznotez)2
Widgets (ManyContacts)17
Widgets (Marketo Forms)944
Widgets (Meebo)7
Widgets (Meeting Scheduler)13
Widgets (MindBody)1387
Widgets (Mulberry)43
Widgets (MyBlogLog)1
Widgets (Nextsale)143
Widgets (Octane AI)461
Widgets (Omny Studio)116
Widgets (Ookla Speedtest Custom)546
Widgets (OrbitFox)11528
Widgets (Outbrain)7756
Widgets (POWR)21452
Widgets (Patreon)2973
Widgets (PayKickStart)25
Widgets (Peek)1155
Widgets (Picreel)13
Widgets (Pinterest)4880
Widgets (Po.st)273
Widgets (Pocket)239
Widgets (Podigee)155
Widgets (Podium)10330
Widgets (ProvenExpert)5325
Widgets (Proximis)3
Widgets (Q4 Cookie Monster)33
Widgets (RateParity)390
Widgets (ReadAloud)20
Widgets (ReadSpeaker)4695
Widgets (Regiondo)125
Widgets (Remixd)1
Widgets (Rezdy)107
Widgets (Rezgo)1
Widgets (Ruby Receptionists)464
Widgets (Salesfloor)4
Widgets (Setmore)453
Widgets (SevenRooms)236
Widgets (ShareThis)60431
Widgets (Shareaholic)4735
Widgets (ShoppingGives)201
Widgets (SiteMinder)552
Widgets (Slider Revolution)806031
Widgets (SnapWidget)4805
Widgets (Social9)200
Widgets (SocialJuice)9
Widgets (SoundCloud)4931
Widgets (Spin-a-Sale)80
Widgets (Spotify Widgets)4912
Widgets (SpurIT)2878
Widgets (Squadded)4
Widgets (StorifyMe)80
Widgets (Sumo)6664
Widgets (Tagembed)2001
Widgets (Taggbox)505
Widgets (TeamBrain)13
Widgets (Tiqets)83
Widgets (Transistor.fm)76
Widgets (Trinity Audio)7
Widgets (Tripadviser.Widget)1053
Widgets (TrustYou)684
Widgets (Twitter)125225
Widgets (Ubiliz)66
Widgets (VerifyPass)413
Widgets (WP Live Visitor Counter)222
Widgets (Wair)57
Widgets (Waveform)44
Widgets (Web Stories)3
Widgets (Wheelio)343
Widgets (Whooshkaa)1
Widgets (Wisepops)1885
Widgets (Worldz)94
Widgets (Yandex.Messenger)4
Widgets (Yelp Review Badge)3740
Widgets (eKomi)906
Wikis (Apache JSPWiki)5
Wikis (Atlassian Confluence)25
Wikis (DokuWiki)262
Wikis (Foswiki)8
Wikis (MediaWiki)531
Wikis (MoinMoin)7
Wikis (TWiki)9
Wikis (TiddlyWiki)8
Wikis (Tiki Wiki CMS Groupware)154
Wikis (WikkaWiki)1
Wikis (XWiki)5
Wikis (ikiwiki)6
WordPress plugins (AMP for WordPress)1213
WordPress plugins (AddToAny Share Buttons)39786
WordPress plugins (Advanced Custom Fields)2312
WordPress plugins (Akismet)47316
WordPress plugins (All in One SEO Pack)32908
WordPress plugins (Asgaros Forum)983
WordPress plugins (Astra Widgets)4295
WordPress plugins (Autoptimize)141754
WordPress plugins (BetterDocs plugin)657
WordPress plugins (Blocksy Companion)5604
WordPress plugins (Bold Page Builder)4626
WordPress plugins (BoldGrid)3729
WordPress plugins (Bookly)7299
WordPress plugins (Borlabs Cookie)92360
WordPress plugins (Breadcrumb NavXT)6044
WordPress plugins (Brilliant Web-to-Lead)61
WordPress plugins (BuddyPress)4992
WordPress plugins (Caldera Forms)6248
WordPress plugins (Chimpmatic)405
WordPress plugins (CiviCRM plugins)60
WordPress plugins (Complianz)166797
WordPress plugins (Contact Form 7)1604416
WordPress plugins (Cookie Information plugin)19521
WordPress plugins (Cookie Notice)193826
WordPress plugins (Creativ.eMail)12380
WordPress plugins (Crocoblock JetElements)51308
WordPress plugins (Custom Fonts)13385
WordPress plugins (Cwicly)100
WordPress plugins (Distributor)9
WordPress plugins (Divi)462811
WordPress plugins (Doppler Forms)16
WordPress plugins (Doppler for WooCommerce)4
WordPress plugins (Download Monitor)17729
WordPress plugins (Draftpress HFCM)43884
WordPress plugins (EWWW Image Optimizer)32468
WordPress plugins (EasyDigitalDownloads)2787
WordPress plugins (ElasticPress)495
WordPress plugins (Elementor Header & Footer Builder)72956
WordPress plugins (Elementor)867437
WordPress plugins (ElementsKit)46385
WordPress plugins (EmbedPlus)27828
WordPress plugins (Essential Addons for Elementor)40290
WordPress plugins (EventOn)8901
WordPress plugins (ExactMetrics)50907
WordPress plugins (Flying Analytics)479
WordPress plugins (Flying Images)666
WordPress plugins (Flying Pages)3241
WordPress plugins (FlyingPress)1138
WordPress plugins (FooPlugins FooGallery)4391
WordPress plugins (Formidable Form)53119
WordPress plugins (Frames)72
WordPress plugins (GPT AI Power)410
WordPress plugins (GTranslate)39712
WordPress plugins (GenerateBlocks)8188
WordPress plugins (GeneratePress GP Premium)22157
WordPress plugins (GiveWP)13031
WordPress plugins (GoDaddy CoBlocks)34492
WordPress plugins (Google Tag Manager for WordPress)72320
WordPress plugins (Gravity Forms)159727
WordPress plugins (Gutenberg)45439
WordPress plugins (HubSpot WordPress plugin)45999
WordPress plugins (Imagely NextGEN Gallery)27920
WordPress plugins (Ivory Search)15858
WordPress plugins (Jetpack Boost)13078
WordPress plugins (Jetpack)238292
WordPress plugins (Jilt plugin)24
WordPress plugins (Kadence WP Blocks)14503
WordPress plugins (Kirki Customizer Framework)700
WordPress plugins (Limit Login Attempts Reloaded)124
WordPress plugins (LiveCanvas)409
WordPress plugins (MailChimp for WooCommerce)39668
WordPress plugins (MailChimp for WordPress)66945
WordPress plugins (MailerLite plugin)1351
WordPress plugins (Master Slider Plugin)19028
WordPress plugins (MetaSlider)51717
WordPress plugins (Moneris Payment Gateway)369
WordPress plugins (MonsterInsights)191786
WordPress plugins (Moove GDPR Consent)65236
WordPress plugins (Newspack)176
WordPress plugins (NextGEN Gallery)41636
WordPress plugins (Ninja Forms)26122
WordPress plugins (OnePress Social Locker)954
WordPress plugins (OptinMonster plugin)3528
WordPress plugins (OrbitFox)11528
WordPress plugins (Oxygen)20663
WordPress plugins (Perfmatters)10402
WordPress plugins (Performance Lab)14716
WordPress plugins (Photo Gallery)40368
WordPress plugins (PixelYourSite)48184
WordPress plugins (Polylang)130970
WordPress plugins (Popup Maker)78859
WordPress plugins (Premio Chaty)7960
WordPress plugins (Pretty Links)6
WordPress plugins (ProfilePress)16746
WordPress plugins (RankMath SEO)192470
WordPress plugins (ReCaptcha v2 for Contact Form 7)9310
WordPress plugins (Really Simple CAPTCHA)61
WordPress plugins (Recent Posts Widget With Thumbnails)14904
WordPress plugins (Redux Framework)92858
WordPress plugins (Responsive Lightbox & Gallery)39856
WordPress plugins (Rich Plugins Reviews)23043
WordPress plugins (SVG Support)21556
WordPress plugins (SeedProd Coming Soon)11985
WordPress plugins (ShortPixel Image Optimizer)156
WordPress plugins (Shortcodes Ultimate)15261
WordPress plugins (Site Kit)351635
WordPress plugins (SiteGuard WP Plugin)2
WordPress plugins (SiteOrigin Page Builder)73662
WordPress plugins (SiteOrigin Widgets Bundle)41276
WordPress plugins (Smart Slider 3)56024
WordPress plugins (Smash Balloon Instagram Feed)134595
WordPress plugins (Societe des Avis Garantis)533
WordPress plugins (Spectra)6744
WordPress plugins (Stackable)8054
WordPress plugins (Super Socializer)1981
WordPress plugins (SuperPWA)3644
WordPress plugins (TablePress)78130
WordPress plugins (The Events Calendar)133678
WordPress plugins (The SEO Framework)19672
WordPress plugins (ThemeIsle Menu Icons)23820
WordPress plugins (ThimPress Course Review)191
WordPress plugins (ThimPress Course Wishlist)411
WordPress plugins (ThimPress Gradebook)46
WordPress plugins (ThimPress LearnPress)2488
WordPress plugins (Thrive Apprentice)208
WordPress plugins (Thrive Architect)10011
WordPress plugins (Thrive Comments)85
WordPress plugins (Thrive Leads)2770
WordPress plugins (Thrive Quiz Builder)533
WordPress plugins (Thrive Ultimatum)1586
WordPress plugins (Translate WordPress)17897
WordPress plugins (Ultimate Addons for Elementor)47036
WordPress plugins (Ultimate GDPR & CCPA)4206
WordPress plugins (UltimatelySocial)19680
WordPress plugins (W3 Total Cache)151522
WordPress plugins (WP Automatic)31
WordPress plugins (WP Fastest Cache)108996
WordPress plugins (WP Featherlight)11811
WordPress plugins (WP Google Map Plugin)10116
WordPress plugins (WP Job Openings)5872
WordPress plugins (WP Live Visitor Counter)222
WordPress plugins (WP Maintenance Mode)2721
WordPress plugins (WP Rocket)357772
WordPress plugins (WP-Optimize)52208
WordPress plugins (WP-PageNavi)41634
WordPress plugins (WP-Statistics)12069
WordPress plugins (WPForms)168575
WordPress plugins (WPML)220892
WordPress plugins (WPMU DEV Smush)71861
WordPress plugins (WPS Visitor Counter)614
WordPress plugins (Web Stories for WordPress)1
WordPress plugins (WebFactory Maintenance)12516
WordPress plugins (WebFactory Under Construction)8922
WordPress plugins (WebToffee Stripe Payment Plugin for WooCommerce)573
WordPress plugins (Welcart)31
WordPress plugins (WooCommerce Blocks)5415
WordPress plugins (WooCommerce Multilingual)23098
WordPress plugins (WooCommerce PayPal Checkout Payment Gateway)12352
WordPress plugins (WooCommerce PayPal Payments)9679
WordPress plugins (WooCommerce Stripe Payment Gateway)1302
WordPress plugins (WooCommerce)556402
WordPress plugins (WordPress Super Cache)146152
WordPress plugins (Wordfence Login Security)630
WordPress plugins (Wordfence)82
WordPress plugins (Yoast Duplicate Post)155
WordPress plugins (Yoast SEO)2088987
WordPress plugins (Zakeke Interactive Product Designer)210
WordPress plugins (a3 Lazy Load)15651
WordPress plugins (iThemes Security)2480
WordPress plugins (wpBakery)555966
WordPress plugins (wpCache)1229
WordPress themes (AFThemes CoverNews)906
WordPress themes (AndersNoren Baskerville)587
WordPress themes (AndersNoren Fukasawa)325
WordPress themes (AndersNoren Hemingway)2027
WordPress themes (AndersNoren Hitchcock)677
WordPress themes (AndersNoren Lovecraft)783
WordPress themes (Apollo13Themes Rife)2598
WordPress themes (Astra)181990
WordPress themes (Blocksy)10662
WordPress themes (Blossom Travel)299
WordPress themes (Bold Themes)6415
WordPress themes (Bricks)2926
WordPress themes (CSSIgniter Olsen Light)254
WordPress themes (Candid Themes Fairy)528
WordPress themes (Catch Themes Catch Box)803
WordPress themes (Catch Themes Fotografie)628
WordPress themes (Colibri WP)9362
WordPress themes (ColorMag)4092
WordPress themes (Colorlib Activello)483
WordPress themes (Colorlib Illdy)1259
WordPress themes (Colorlib Shapely)2460
WordPress themes (Colorlib Sparkling)2462
WordPress themes (Colorlib Travelify)1039
WordPress themes (Cryout Creations Bravada)1035
WordPress themes (Cryout Creations Fluida)1522
WordPress themes (Cryout Creations Mantra)1326
WordPress themes (Cryout Creations Parabola)1110
WordPress themes (CyberChimps Responsive)6181
WordPress themes (Divi)462811
WordPress themes (Enigma)1160
WordPress themes (Envo Shop)89
WordPress themes (Envo Storefront)205
WordPress themes (Envo eCommerce)117
WordPress themes (ExtendThemes Calliope)52
WordPress themes (ExtendThemes EmpowerWP)959
WordPress themes (ExtendThemes Highlight)1513
WordPress themes (ExtendThemes Materialis)913
WordPress themes (ExtendThemes Mesmerize)6705
WordPress themes (FalguniThemes Nisarg)1367
WordPress themes (FameThemes OnePress)10061
WordPress themes (FameThemes Screenr)1479
WordPress themes (Futurio)1715
WordPress themes (GeneratePress)57394
WordPress themes (Genesis theme)47653
WordPress themes (GoDaddy Escapade)843
WordPress themes (GoDaddy Go)3345
WordPress themes (GoDaddy Lyrical)735
WordPress themes (GoDaddy Primer)5562
WordPress themes (GoDaddy Uptown Style)808
WordPress themes (Graphene)1970
WordPress themes (HashThemes Total)16393
WordPress themes (Hello Elementor)188482
WordPress themes (Hestia)13456
WordPress themes (Kadence WP Kadence)15961
WordPress themes (Kadence WP Virtue)4577
WordPress themes (Kaira Vogue)780
WordPress themes (LandingPress)10
WordPress themes (Lightning)482
WordPress themes (LyraThemes Kale)903
WordPress themes (MDBootstrap WP theme)6
WordPress themes (MachoThemes NewsMag)989
WordPress themes (MysteryThemes News Portal Lite)9
WordPress themes (MysteryThemes News Portal Mag)7
WordPress themes (MysteryThemes News Portal)223
WordPress themes (Neve)21415
WordPress themes (OceanWP)62208
WordPress themes (OnePage Express)2022
WordPress themes (OutTheBoxThemes Panoramic)1473
WordPress themes (Page Builder Framework)3828
WordPress themes (Phlox)5365
WordPress themes (PopularFX)2176
WordPress themes (Press Customizr)9462
WordPress themes (Press Hueman)4330
WordPress themes (PressMaximum Customify)5760
WordPress themes (Satori Studio Bento)730
WordPress themes (Scissor Themes Writee)225
WordPress themes (Semplice)3032
WordPress themes (Sinatra)1271
WordPress themes (SiteOrigin Vantage)12498
WordPress themes (SpiceThemes SpicePress)1381
WordPress themes (The Theme Foundry Make)1682
WordPress themes (Theme Freesia Edge)439
WordPress themes (Theme Freesia Photograph)239
WordPress themes (Theme Freesia ShoppingCart)128
WordPress themes (Theme Horse Attitude)899
WordPress themes (Theme Horse NewsCard)287
WordPress themes (Theme Vision Agama)1164
WordPress themes (Theme4Press Evolve)1759
WordPress themes (ThemeGrill Accelerate)2699
WordPress themes (ThemeGrill Cenote)534
WordPress themes (ThemeGrill ColorMag)4133
WordPress themes (ThemeGrill Flash)3275
WordPress themes (ThemeGrill Radiate)1456
WordPress themes (ThemeGrill Spacious)7438
WordPress themes (ThemeGrill eStore)321
WordPress themes (ThemeZee Donovan)592
WordPress themes (ThemeZee Poseidon)879
WordPress themes (ThemeZee Wellington)393
WordPress themes (Themeansar Newsberg)116
WordPress themes (Themeansar Newsup)1284
WordPress themes (Themebeez Cream Magazine)278
WordPress themes (Themebeez Orchid Store)255
WordPress themes (Themegraphy Graphy)639
WordPress themes (Themes4Wp Bulk)700
WordPress themes (ThemezHut Bam)413
WordPress themes (ThemezHut HitMag)373
WordPress themes (Themonic Iconic One)837
WordPress themes (Think Up Themes Consulting)3629
WordPress themes (Think Up Themes Minamaze)1105
WordPress themes (Twenty Eleven)10197
WordPress themes (Twenty Fifteen)8801
WordPress themes (Twenty Fourteen)10716
WordPress themes (Twenty Nineteen)9597
WordPress themes (Twenty Seventeen)50161
WordPress themes (Twenty Sixteen)15271
WordPress themes (Twenty Ten)7312
WordPress themes (Twenty Thirteen)10525
WordPress themes (Twenty Twelve)16948
WordPress themes (Twenty Twenty)21703
WordPress themes (Twenty Twenty-One)19880
WordPress themes (Twenty Twenty-Three)3529
WordPress themes (Twenty Twenty-Two)1973
WordPress themes (Understrap)5453
WordPress themes (UpSolution Zephyr)209
WordPress themes (WEN Themes Education Hub)674
WordPress themes (WEN Themes Signify Dark)706
WordPress themes (WP Puzzle Basic)691
WordPress themes (WP-Royal Ashe)3275
WordPress themes (WP-Royal Bard)1082
WordPress themes (Waveme)3
WordPress themes (Weaver Xtreme)2999
WordPress themes (Webriti Busiprof)992
WordPress themes (Woostify)696
WordPress themes (WordPress Default)1597
WordPress themes (Xtra)1520
WordPress themes (Zakra)3862
WordPress themes (aThemes Airi)1514
WordPress themes (aThemes Astrid)1467
WordPress themes (aThemes Hiero)145
WordPress themes (aThemes Moesia)892
WordPress themes (aThemes Sydney)15946
# Administrative units Source: https://docs.istari.ai/tools/administrative-units Each organization is geocoded to the exact house number level and assigned to administrative units. In order to be able to assign the organizations to a geographical region, we use a hierarchical structure inspired by the [NUTS system of the European Union](https://ec.europa.eu/eurostat/web/nuts/background). This is structure is comparable across countries. However, in some world regions, the more fine-grained categories do not exist. See also our [coverage ](/tools/country-coverage)(number of organizations per country). | Column name | Description | Example | | ----------- | ------------------------------------------------------- | ------------------ | | country | Country | Germany | | state | Regions, federal states, provinces or territories. | Baden-Württemberg | | region | Departments, districts, metropolitan statistical areas. | Rhein-Neckar-Kreis | | district | Counties, districts, cities. | Sandhausen | # Country coverage Source: https://docs.istari.ai/tools/country-coverage The following table provides an overview of the **17,162,821 organizations** featured in the ISTARI Global Organization Index. ## Organizations per country (by type) | Country | Total | Company | Other | Academic | Public | Startup | | -------------------------------- | --------- | --------- | ------- | -------- | ------ | ------- | | Afghanistan | 108 | 87 | 8 | 9 | 4 | 0 | | Albania | 4,327 | 3,396 | 731 | 90 | 102 | 8 | | Algeria | 1,682 | 1,497 | 102 | 44 | 36 | 3 | | Andorra | 200 | 180 | 12 | 0 | 8 | 0 | | Angola | 451 | 381 | 36 | 13 | 21 | 0 | | Antigua and Barbuda | 39 | 37 | 1 | 0 | 1 | 0 | | Argentina | 57,838 | 47,723 | 7,701 | 1,277 | 1,081 | 56 | | Armenia | 958 | 768 | 105 | 39 | 41 | 5 | | Australia | 676,629 | 569,987 | 95,616 | 6,267 | 3,090 | 1,669 | | Austria | 161,157 | 130,118 | 27,360 | 1,392 | 2,019 | 268 | | Azerbaijan | 1,008 | 846 | 45 | 39 | 75 | 3 | | Bahamas | 546 | 465 | 59 | 7 | 14 | 1 | | Bahrain | 2,296 | 2,150 | 70 | 35 | 34 | 7 | | Bangladesh | 1,036 | 842 | 67 | 69 | 48 | 10 | | Barbados | 270 | 221 | 40 | 1 | 7 | 1 | | Belarus | 16,140 | 14,165 | 966 | 170 | 826 | 13 | | Belgium | 234,998 | 178,105 | 49,515 | 4,233 | 2,734 | 411 | | Belize | 203 | 177 | 16 | 3 | 5 | 2 | | Benin | 218 | 171 | 33 | 9 | 5 | 0 | | Bhutan | 71 | 56 | 4 | 2 | 9 | 0 | | Bolivia | 1,594 | 1,441 | 89 | 46 | 17 | 1 | | Bosnia and Herzegovina | 6,535 | 5,561 | 537 | 83 | 349 | 5 | | Botswana | 802 | 726 | 53 | 12 | 10 | 1 | | Brazil | 513,941 | 447,709 | 50,200 | 6,726 | 8,404 | 902 | | Brunei | 374 | 344 | 14 | 10 | 6 | 0 | | Bulgaria | 46,949 | 39,259 | 5,607 | 890 | 1,095 | 98 | | Burkina Faso | 142 | 116 | 17 | 3 | 6 | 0 | | Burundi | 97 | 79 | 11 | 4 | 3 | 0 | | Cabo Verde | 193 | 146 | 24 | 2 | 21 | 0 | | Cambodia | 1,502 | 1,335 | 102 | 45 | 16 | 4 | | Cameroon | 569 | 431 | 70 | 29 | 34 | 5 | | Canada | 379,884 | 313,991 | 57,158 | 3,093 | 4,780 | 862 | | Central African Republic | 13 | 8 | 4 | 1 | 0 | 0 | | Chad | 20 | 18 | 1 | 0 | 1 | 0 | | Chile | 42,780 | 36,623 | 3,625 | 1,712 | 753 | 67 | | China | 781,490 | 675,441 | 86,787 | 9,262 | 8,458 | 1,542 | | Colombia | 48,785 | 40,495 | 4,854 | 1,283 | 2,059 | 94 | | Comoros | 20 | 15 | 3 | 1 | 1 | 0 | | Costa Rica | 4,420 | 3,774 | 428 | 98 | 113 | 7 | | Croatia | 39,859 | 32,260 | 5,585 | 419 | 1,549 | 46 | | Cuba | 301 | 232 | 55 | 4 | 9 | 1 | | Cyprus | 9,236 | 8,386 | 650 | 118 | 49 | 33 | | Czechia | 269,043 | 208,460 | 45,726 | 4,557 | 10,133 | 167 | | Côte d'Ivoire | 636 | 563 | 36 | 16 | 19 | 2 | | Democratic Republic of the Congo | 250 | 215 | 19 | 3 | 12 | 1 | | Denmark | 164,590 | 114,861 | 46,259 | 1,514 | 1,638 | 318 | | Djibouti | 60 | 53 | 1 | 0 | 6 | 0 | | Dominica | 23 | 21 | 0 | 0 | 2 | 0 | | Dominican Republic | 4,055 | 3,700 | 192 | 89 | 70 | 4 | | Ecuador | 6,635 | 6,101 | 323 | 122 | 86 | 3 | | Egypt | 7,499 | 6,793 | 376 | 178 | 114 | 38 | | El Salvador | 1,054 | 919 | 73 | 28 | 33 | 1 | | Equatorial Guinea | 31 | 29 | 2 | 0 | 0 | 0 | | Eritrea | 5 | 5 | 0 | 0 | 0 | 0 | | Estonia | 36,654 | 30,942 | 4,585 | 477 | 452 | 198 | | Ethiopia | 658 | 516 | 80 | 29 | 28 | 5 | | Fiji | 97 | 85 | 5 | 1 | 6 | 0 | | Finland | 138,329 | 108,409 | 27,495 | 719 | 1,133 | 573 | | France | 583,536 | 466,823 | 92,980 | 5,999 | 16,755 | 979 | | Gabon | 88 | 80 | 5 | 2 | 1 | 0 | | Gambia | 56 | 45 | 1 | 2 | 8 | 0 | | Georgia | 6,491 | 4,625 | 1,357 | 257 | 241 | 11 | | Germany | 1,834,183 | 1,445,900 | 345,990 | 18,520 | 20,895 | 2,878 | | Ghana | 2,059 | 1,587 | 238 | 140 | 79 | 15 | | Greece | 77,802 | 71,980 | 4,699 | 345 | 609 | 169 | | Grenada | 26 | 21 | 0 | 1 | 4 | 0 | | Guatemala | 2,387 | 2,114 | 147 | 91 | 33 | 2 | | Guernsey | 723 | 600 | 93 | 5 | 24 | 1 | | Guinea | 97 | 86 | 5 | 1 | 5 | 0 | | Guinea-Bissau | 7 | 6 | 1 | 0 | 0 | 0 | | Guyana | 149 | 102 | 20 | 3 | 24 | 0 | | Haiti | 111 | 83 | 19 | 3 | 6 | 0 | | Honduras | 253 | 217 | 17 | 13 | 6 | 0 | | Hong Kong | 36,156 | 31,820 | 3,433 | 643 | 148 | 112 | | Hungary | 110,770 | 87,108 | 18,049 | 1,860 | 3,568 | 185 | | Iceland | 7,567 | 6,344 | 935 | 74 | 184 | 30 | | India | 258,777 | 234,693 | 14,229 | 6,175 | 1,352 | 2,328 | | Indonesia | 32,093 | 27,356 | 2,011 | 2,040 | 635 | 51 | | Iran | 961 | 855 | 90 | 9 | 2 | 5 | | Iraq | 837 | 729 | 39 | 48 | 19 | 2 | | Ireland | 57,256 | 48,363 | 7,393 | 915 | 414 | 171 | | Israel | 35,399 | 30,225 | 3,954 | 256 | 270 | 694 | | Italy | 640,142 | 559,082 | 70,667 | 4,360 | 3,938 | 2,095 | | Jamaica | 4,202 | 3,394 | 616 | 65 | 117 | 10 | | Japan | 603,690 | 523,790 | 71,521 | 4,196 | 3,468 | 715 | | Jordan | 2,004 | 1,764 | 140 | 52 | 45 | 3 | | Kazakhstan | 12,789 | 10,835 | 1,188 | 293 | 461 | 12 | | Kenya | 9,984 | 8,534 | 966 | 284 | 134 | 66 | | Kiribati | 3 | 1 | 0 | 0 | 2 | 0 | | Kosovo | 2,005 | 1,585 | 337 | 33 | 43 | 7 | | Kuwait | 2,605 | 2,474 | 58 | 32 | 32 | 9 | | Kyrgyzstan | 569 | 401 | 79 | 36 | 52 | 1 | | Laos | 212 | 186 | 19 | 3 | 4 | 0 | | Latvia | 21,922 | 18,102 | 2,821 | 462 | 508 | 29 | | Lebanon | 3,255 | 2,992 | 178 | 46 | 34 | 5 | | Lesotho | 883 | 748 | 103 | 5 | 22 | 5 | | Liberia | 123 | 89 | 13 | 5 | 16 | 0 | | Libya | 224 | 192 | 11 | 7 | 14 | 0 | | Liechtenstein | 2,056 | 1,707 | 314 | 5 | 23 | 7 | | Lithuania | 41,173 | 33,643 | 5,623 | 533 | 1,246 | 128 | | Luxembourg | 15,332 | 12,260 | 2,702 | 84 | 237 | 49 | | Madagascar | 336 | 291 | 35 | 7 | 3 | 0 | | Malawi | 187 | 133 | 26 | 13 | 15 | 0 | | Malaysia | 40,082 | 37,532 | 1,741 | 443 | 312 | 54 | | Maldives | 225 | 189 | 6 | 6 | 23 | 1 | | Mali | 123 | 100 | 11 | 2 | 10 | 0 | | Malta | 4,726 | 4,251 | 387 | 44 | 28 | 16 | | Marshall Islands | 43 | 41 | 2 | 0 | 0 | 0 | | Martinique | 388 | 326 | 45 | 7 | 9 | 1 | | Mauritania | 62 | 56 | 4 | 0 | 2 | 0 | | Mauritius | 1,887 | 1,734 | 96 | 21 | 21 | 15 | | Mexico | 59,189 | 52,411 | 3,544 | 2,426 | 769 | 39 | | Micronesia | 6 | 5 | 0 | 0 | 1 | 0 | | Moldova | 6,246 | 4,920 | 863 | 115 | 339 | 9 | | Monaco | 1,053 | 964 | 66 | 3 | 15 | 5 | | Mongolia | 281 | 252 | 15 | 4 | 9 | 1 | | Montenegro | 2,550 | 2,031 | 348 | 38 | 128 | 5 | | Morocco | 6,967 | 6,081 | 603 | 175 | 85 | 23 | | Mozambique | 504 | 381 | 57 | 25 | 40 | 1 | | Myanmar | 973 | 864 | 70 | 23 | 15 | 1 | | México | 47,813 | 42,375 | 3,525 | 1,205 | 647 | 61 | | Nepal | 2,887 | 2,270 | 279 | 298 | 32 | 8 | | Netherlands | 779,829 | 575,574 | 193,368 | 6,964 | 1,956 | 1,967 | | New Zealand | 99,903 | 83,751 | 13,619 | 1,800 | 408 | 325 | | Nicaragua | 317 | 274 | 23 | 8 | 12 | 0 | | Niger | 17 | 15 | 0 | 0 | 2 | 0 | | Nigeria | 4,061 | 3,561 | 247 | 134 | 68 | 51 | | North Macedonia | 3,288 | 2,546 | 375 | 117 | 246 | 4 | | Norway | 116,383 | 83,615 | 29,515 | 1,065 | 1,788 | 400 | | Oman | 5,301 | 4,458 | 634 | 122 | 77 | 10 | | Pakistan | 12,139 | 10,151 | 1,239 | 495 | 217 | 37 | | Palau | 14 | 13 | 1 | 0 | 0 | 0 | | Panama | 2,046 | 1,878 | 81 | 57 | 23 | 7 | | Papua New Guinea | 1,450 | 1,164 | 228 | 16 | 37 | 5 | | Paraguay | 2,410 | 1,901 | 274 | 77 | 156 | 2 | | Peru | 15,648 | 13,160 | 1,425 | 557 | 493 | 13 | | Philippines | 11,190 | 9,510 | 858 | 527 | 276 | 19 | | Poland | 341,784 | 285,651 | 44,715 | 3,956 | 7,011 | 451 | | Portugal | 85,125 | 71,257 | 10,455 | 1,345 | 1,900 | 168 | | Puerto Rico | 1,253 | 1,078 | 138 | 24 | 11 | 2 | | Qatar | 2,077 | 1,930 | 62 | 45 | 38 | 2 | | Republic of Congo | 9 | 6 | 3 | 0 | 0 | 0 | | Romania | 51,492 | 46,274 | 3,603 | 448 | 1,105 | 62 | | Russia | 378,077 | 306,220 | 49,769 | 7,498 | 14,168 | 422 | | Rwanda | 350 | 256 | 50 | 12 | 30 | 2 | | Saint Kitts and Nevis | 40 | 30 | 5 | 0 | 5 | 0 | | Saint Lucia | 36 | 28 | 4 | 0 | 4 | 0 | | Saint Vincent and the Grenadines | 39 | 36 | 1 | 0 | 2 | 0 | | Samoa | 44 | 37 | 1 | 0 | 6 | 0 | | San Marino | 130 | 119 | 7 | 0 | 4 | 0 | | São Tomé and Príncipe | 3 | 2 | 0 | 0 | 1 | 0 | | Saudi Arabia | 9,255 | 8,587 | 381 | 126 | 108 | 53 | | Senegal | 381 | 311 | 41 | 11 | 14 | 4 | | Serbia | 28,062 | 24,675 | 2,125 | 397 | 827 | 38 | | Seychelles | 190 | 164 | 7 | 1 | 16 | 2 | | Sierra Leone | 63 | 46 | 5 | 7 | 5 | 0 | | Singapore | 61,885 | 54,596 | 6,196 | 451 | 269 | 373 | | Slovakia | 81,044 | 66,570 | 10,144 | 857 | 3,412 | 61 | | Slovenia | 37,753 | 30,082 | 6,359 | 466 | 798 | 48 | | Solomon Islands | 10 | 8 | 0 | 0 | 2 | 0 | | Somalia | 54 | 45 | 6 | 0 | 3 | 0 | | South Africa | 140,299 | 126,557 | 11,485 | 1,466 | 495 | 296 | | South Korea | 98,034 | 84,468 | 9,283 | 2,237 | 1,590 | 456 | | South Sudan | 57 | 30 | 24 | 1 | 2 | 0 | | Spain | 386,145 | 340,290 | 33,175 | 4,308 | 7,795 | 577 | | Sri Lanka | 4,063 | 3,664 | 231 | 102 | 53 | 13 | | Sudan | 86 | 71 | 4 | 7 | 4 | 0 | | Suriname | 74 | 65 | 4 | 0 | 5 | 0 | | Sweden | 220,440 | 165,351 | 51,450 | 1,338 | 1,645 | 656 | | Switzerland | 227,503 | 188,510 | 34,589 | 1,185 | 2,545 | 674 | | Syria | 151 | 129 | 7 | 9 | 6 | 0 | | Taiwan | 46,452 | 43,862 | 2,176 | 260 | 85 | 69 | | Tajikistan | 84 | 40 | 12 | 11 | 21 | 0 | | Tanzania | 1,856 | 1,590 | 125 | 65 | 75 | 1 | | Thailand | 35,408 | 32,949 | 1,298 | 747 | 373 | 41 | | Togo | 100 | 74 | 15 | 6 | 5 | 0 | | Tonga | 8 | 8 | 0 | 0 | 0 | 0 | | Trinidad and Tobago | 238 | 197 | 18 | 7 | 16 | 0 | | Tunisia | 3,211 | 2,453 | 557 | 70 | 116 | 15 | | Turkey | 110,282 | 102,953 | 4,910 | 671 | 1,648 | 100 | | Turkmenistan | 17 | 11 | 2 | 0 | 4 | 0 | | Tuvalu | 1 | 1 | 0 | 0 | 0 | 0 | | Uganda | 1,107 | 811 | 194 | 74 | 21 | 7 | | Ukraine | 44,304 | 34,629 | 5,998 | 1,395 | 2,230 | 52 | | United Arab Emirates | 29,161 | 27,905 | 745 | 297 | 142 | 72 | | United Kingdom | 1,125,286 | 922,567 | 171,349 | 21,960 | 6,698 | 2,712 | | United States | 4,232,522 | 3,455,569 | 670,067 | 35,702 | 59,720 | 11,464 | | Uruguay | 5,784 | 4,795 | 724 | 134 | 123 | 8 | | Uzbekistan | 1,846 | 1,555 | 120 | 70 | 101 | 0 | | Vanuatu | 31 | 28 | 3 | 0 | 0 | 0 | | Venezuela | 2,135 | 1,871 | 146 | 62 | 56 | 0 | | Vietnam | 47,773 | 45,867 | 1,249 | 313 | 281 | 63 | | Yemen | 131 | 124 | 2 | 3 | 2 | 0 | | Zambia | 526 | 441 | 38 | 29 | 16 | 2 | | Zimbabwe | 742 | 665 | 29 | 25 | 22 | 1 | ## Organization by NACE code | NACE Code | Count | Percentage | | ------------------------------------------------------------------- | --------- | ---------- | | NACE N: Professional, scientific and technical activities | 3,093,879 | 18.03% | | NACE G: Wholesale and retail trade | 2,240,191 | 13.05% | | NACE C: Manufacturing | 2,006,435 | 11.69% | | NACE R: Human health and social work activities | 1,440,340 | 8.39% | | NACE K: Telecommunication, IT, consulting & other info services | 1,269,131 | 7.39% | | NACE F: Construction | 1,173,226 | 6.84% | | NACE I: Accommodation and food service activities | 1,126,594 | 6.56% | | NACE S: Arts, sports and recreation | 1,101,592 | 6.42% | | NACE Q: Education | 584,430 | 3.41% | | NACE J: Publishing, broadcasting, content production & distribution | 554,985 | 3.23% | | NACE M: Real estate activities | 511,427 | 2.98% | | NACE T: Other service activities | 502,111 | 2.93% | | NACE O: Administrative and support service activities | 417,489 | 2.43% | | NACE L: Financial and insurance activities | 374,812 | 2.18% | | NACE H: Transportation and storage | 313,925 | 1.83% | | NACE A: Agriculture, forestry and fishing | 161,092 | 0.94% | | NACE P: Public administration and defence | 139,775 | 0.81% | | NACE E: Water supply, waste management & remediation | 98,100 | 0.57% | | NACE D: Electricity, gas, steam & air conditioning supply | 34,997 | 0.20% | | NACE B: Mining and quarrying | 17,420 | 0.10% | | NACE U: Households as employers / own use activities | 44 | 0.00% | | NACE V: Extraterritorial organisations & bodies | 8 | 0.00% | ## Organizations by size | Organization Size | Count | Percentage | | ----------------------- | --------- | ---------- | | Small (10-49) | 7,494,409 | 43.67% | | Micro (0-9) | 7,341,838 | 42.78% | | Medium-sized (50-249) | 1,501,655 | 8.75% | | Large enterprise (250+) | 824,126 | 4.80% |