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AgentsTools Entity Search — Company Name Disambiguator
x402
AgentsTools Entity Search — Company Name Disambiguator is a paid API for AI agents from api.agentstools.dev, paid per call via x402, $0.008/call, status unknown (last checked 2026-09-14).
Fuzzy legal-name search that returns ranked company candidates with cross-linked identifiers (Wikidata QID, GLEIF LEI, SEC CIK, ticker), country, and match scores.
Price / call$0.008
Success—
StatusUnknown
How this service works
Disambiguate a company by name: fuzzy legal-name search returning ranked candidates, each with the ids known for it (Wikidata QID, GLEIF LEI, SEC CIK, ticker), country and a match score. Cheaper first step before entity/resolve.
Output
A ranked list of up to 10 company candidates matching the fuzzy name query, each containing known cross-linked identifiers (Wikidata QID, GLEIF LEI, SEC CIK, ticker symbol where available), the company's country, and a numeric match score indicating confidence in the match.
Example use cases
Identify the correct Apple subsidiary by name
“I need to find which Apple entity is the actual SEC filer—could you search for 'Apple Computer Inc' and show me the top matches with their CIK numbers and match scores so I know which one to use for financial data?”
Resolve ambiguous company names to stock ticker
“We keep seeing 'Morgan Stanley' referenced in different contexts—can you search that name and give me back all the candidates with their tickers and LEI codes so I can figure out which entity we're actually dealing with?”
Validate supplier legal entities before onboarding
“Our vendor just told us their company name is 'Microsoft Services Global Inc'—can you fuzzy search that and return the top 3 matches with their Wikidata QIDs and country so I can confirm we have the right legal entity before we proceed?”
Technical details
Endpoint
GEThttps://api.agentstools.dev/entity/searchWhen to prefer
Use this endpoint as a cheap first step before calling a full entity resolution endpoint — when you have only a company name (possibly approximate) and need to identify the correct legal entity and obtain its canonical cross-system identifiers (LEI, CIK, QID, ticker). Prefer this over direct entity resolution when the exact legal name is uncertain or when disambiguating between multiple companies with similar names.
Side effects
- No candidates found if the name is too obscure or misspelled beyond fuzzy tolerance
- Ambiguous results if a very generic name matches many companies (e.g. 'Global Holdings')
- Country filter too restrictive may exclude correct matches
- Rate limiting or payment failure for x402-gated access
- Limit parameter out of range (must be 1–10) returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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