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API Acre Wikidata Organization Search
x402
API Acre Wikidata Organization Search is a paid API for AI agents from apiacre.com, paid per call via x402, $0.015/call, status unknown (last checked 2026-09-14).
Searches CC0 Wikidata for organization candidates by name and returns normalized public metadata including websites, inception dates, identifiers, entity types, countries, industries, headquarters, parent/subsidiary/founder/owner/product links, with non-verification caveats.
Price / call$0.015
Success—
StatusUnknown
How this service works
Search CC0 Wikidata organization candidates and normalize public websites, inception dates, company identifiers, entity types, countries, industries, headquarters, parent, founder, owner, subsidiary, and product links with explicit non-verification caveats.
Output
A list of matching Wikidata organization candidates (up to max_results), each normalized with fields such as public website URL, inception date, company identifiers (e.g. LEI, CIK), entity type, country, industry classification, headquarters location, parent organization, founder, owner, subsidiaries, and product links. All data carries explicit non-verification caveats indicating it is sourced from CC0 Wikidata and has not been independently confirmed.
Example use cases
Research a startup's public profile
“Look up 'Stripe' on Wikidata and give me its inception date, headquarters country, founders, official website, and any known subsidiaries or parent company — up to 3 results in English.”
Enrich CRM with open company data
“I have a company name 'Bosch' in my CRM — can you pull its Wikidata organization entry in English and normalize the industry, entity type, headquarters, and official website so I can fill in the missing fields?”
Identify parent and ownership structure
“Search Wikidata for 'Instagram' and show me up to 5 candidates with their owner, parent company, founder, and product links so I can map out the ownership structure.”
Technical details
Endpoint
POSThttps://apiacre.com/v1/research/wikidata-organization-searchWhen to prefer
Choose this endpoint when you need structured, normalized public metadata about organizations from an open, CC0-licensed knowledge graph (Wikidata) without needing real-time or verified commercial data. Ideal for enriching CRM records, populating knowledge bases, researching company histories, or mapping corporate structures using open data. Prefer over proprietary company APIs when cost, licensing, or open-data requirements matter. Not suitable when you need verified, legally authoritative, or real-time financial data.
Side effects
- No matching organization found for the given name — empty results array returned
- Wikidata service unavailable or rate-limited — upstream error propagated
- Ambiguous organization name returns many low-confidence candidates — agent must disambiguate
- Requested language not available for some fields — fields fall back to English or null
- max_results set too high may slow response or hit upstream limits
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| language | string | |
| max_results | integer | |
| organization_name | string |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"query": {
"language": "en",
"organizationName": "OpenAI"
},
"source": "https://www.wikidata.org/w/api.php",
"license": {
"url": "https://www.wikidata.org/wiki/Wikidata:Licensing",
"name": "Creative Commons CC0 1.0"
},
"candidates": [
{
"id": "Q242167",
"rank": 1,
"label": "OpenAI",
"aliases": [
"Open AI"
],
"description": "artificial intelligence research organization"
}
],
"disclaimer": "Public knowledge-graph enrichment for research only; not KYB, KYC, legal, com...",
"limitations": [
"Demonstration candidate only; paid calls return current community-edited leads.",
"Candidates are not identity, ownership, legal-status, or organization-type ve..."
],
"retrievedAt": "2026-08-20T12:00:00+00:00",
"documentation": "https://www.wikidata.org/wiki/Wikidata:Data_access",
"candidateCount": 1
},
"meta": {
"cached": false,
"sources": [],
"warnings": [],
"duration_ms": 42,
"next_actions": [
{
"path": "/v1/research/lei-entity-search",
"title": "GLEIF legal entity search",
"method": "POST",
"reason": "Compare one selected Wikidata label with official GLEIF legal-entity candidates.",
"service": "research.lei-entity-search"
}
]
},
"service": "research.wikidata-organization-search",
"version": "1",
"request_id": "018f1f54-7f38-7ba2-8dc3-5f90272d9f1a"
}
}Tags
x402
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