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Wikidata Entity Structured Facts Lookup
x402
Wikidata Entity Structured Facts Lookup is a paid API for AI agents from twin.unykorn.org, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-30).
Retrieves structured facts about any Wikidata entity (founders, HQ, CEO, website, stock ticker, inception date, etc.) given its Q-id.
Price / call$0.003
Success—
StatusUnknown
How this service works
Structured facts about an entity from Wikidata (founders, HQ, CEO, website, ticker, inception...) — Genesis402 / UnyKorn Operator Network
Output
Returns a structured object containing key facts about the requested Wikidata entity, which may include: list of founders, headquarters location, current CEO, official website URL, stock ticker symbol, date of inception, industry classification, country of origin, and other available Wikidata properties for that entity.
Example use cases
Company background research for due diligence
“I'm researching Volkswagen Group for a report — can you fetch its Wikidata facts including founders, headquarters, CEO, website, and when it was founded? The Wikidata ID is Q246.”
Stock ticker lookup for financial data pipeline
“What is the official stock ticker symbol for Samsung Electronics according to Wikidata? Its Q-id is Q20716.”
Enriching a knowledge base with entity metadata
“I have a list of tech companies I need to enrich with structured data. Start with Nvidia — pull all the key facts from Wikidata like founders, HQ, CEO, website, and inception year. Its Wikidata Q-id is Q182477.”
Technical details
Endpoint
POSThttps://twin.unykorn.org/research/wikidata-entity?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need authoritative, structured factual data about a known entity (company, organization, person, place) and already have or can look up its Wikidata Q-id. Ideal for enriching pipelines with canonical entity metadata, due diligence research, or filling in structured fields like founder, HQ, ticker, and website from a single trusted open knowledge source. Prefer this over web scraping or LLM-generated facts when you need citable, structured data.
Side effects
- Invalid or non-existent Q-id returns an error or empty result
- Entity exists in Wikidata but has sparse data — many fields may be null or missing
- Wikidata data may be outdated relative to real-world changes (e.g. CEO changes)
- Payment failure via x402 protocol blocks the request
- Rate limiting or upstream Wikidata API unavailability
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| params | object |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"type": "wikidata-entity",
"receipt": {
"tx_hash": "0x<64hex>",
"amount_usd": 0.003,
"receipt_id": "g402-<16hex>"
},
"sources": [
{
"ok": true,
"name": "<source>"
}
],
"limitations": "<text>",
"generated_at": "<iso time>",
"evidence_hash": "sha256:<64hex>"
}
}Tags
x402
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