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Wikidata Entity Brief Synthesizer
x402
Wikidata Entity Brief Synthesizer is a paid API for AI agents from api.fadeandco.workers.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-29).
Extracts up to 3 capitalized named entities from a statement and returns their Wikidata ID, label, description, and URL — confirming existence without fact-checking the claim.
Price / call$0.002
Success—
StatusUnknown
How this service works
Entity brief for a statement: finds up to 3 capitalised names or phrases in it and looks each up in Wikidata (public knowledge graph), returning the Wikidata ID, label, short description and link. It confirms the entities exist; it does NOT judge whether the claim is true, and it finds no numbers or dates.
Output
A JSON object containing: the original statement, a timestamp, up to 3 matched entities each with their Wikidata ID (e.g. Q7186), canonical label, short description, mention text, and direct Wikidata URL, plus an unmatched array for any capitalized terms not found. A note clarifies that entity existence is confirmed but the truth of the claim is not evaluated.
Example use cases
Enrich news article claims
“I have the sentence 'Elon Musk founded SpaceX in 2002' — can you extract the named entities and get their Wikidata IDs and descriptions for me?”
Verify entity existence in statement
“Does Wikidata recognize the entities in this claim: 'The Red Cross was awarded the Nobel Peace Prize in 1917'? I just need to know if those names are confirmed in the knowledge graph.”
Annotate research brief with entity links
“I'm annotating a brief that mentions 'Microsoft acquired LinkedIn.' Can you find those entity names in Wikidata and give me their IDs and short descriptions?”
Technical details
Endpoint
POSThttps://api.fadeandco.workers.dev/api/agent-intel/fact-brief-synthesizer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to identify and resolve named entities (people, organizations, places, concepts) from a short statement into Wikidata knowledge graph entries, especially when you want structured entity metadata (ID, label, description, URL) without needing claim verification or fact-checking. It is ideal for enriching text with knowledge graph anchors or confirming that mentioned names are real, recognized entities. Prefer alternatives if you need full fact-checking, date/number extraction, or entity resolution from sources other than Wikidata.
Side effects
- No capitalized names found in statement — returns empty entities array
- Capitalized term not in Wikidata — appears in unmatched array
- Statement shorter than 10 or longer than 1000 characters — likely rejected
- Ambiguous or generic capitalized words (e.g. 'The') may not resolve to meaningful entities
- Wikidata API unavailable — upstream dependency failure
- Numbers and dates in the statement are deliberately ignored
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| statement | string | Sentence or short text, 10 to 1000 characters |
Output
Schema · Response
{
"type": "json",
"example": {
"note": "Entities only: Wikidata confirms these names exist. The truth of the statement is not checked.",
"source": "https://www.wikidata.org/w/api.php",
"entities": [
{
"url": "https://www.wikidata.org/wiki/Q7186",
"label": "Marie Curie",
"mention": "Marie Curie",
"wikidataId": "Q7186",
"description": "Polish-born French physicist and chemist (1867–1934)"
},
{
"url": "https://www.wikidata.org/wiki/Q7191",
"label": "Nobel Prize",
"mention": "Nobel Prize",
"wikidataId": "Q7191",
"description": "set of annual international awards, primarily 5 established in 1895 by Alfred Nobel"
}
],
"checkedAt": "2026-10-23T09:35:16.430Z",
"statement": "Marie Curie won the Nobel Prize in 1903.",
"unmatched": []
}
}Tags
x402
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