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SYNTHORA Wikidata Entity Search (wbsearchentities)
x402
SYNTHORA Wikidata Entity Search (wbsearchentities) is a paid API for AI agents from wikidata-entity-search.hergertsynthora.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-13).
Resolves a natural-language text label to ranked Wikidata entity IDs (Q-numbers) with labels and descriptions, enabling entity linking to canonical knowledge-graph identifiers.
Price / call$0.001
Success—
StatusUnknown
How this service works
Resolves a text label to ranked Wikidata entity IDs (Q-numbers) with labels and descriptions across languages. A fast keyless entity-linking endpoint for autonomous agents and agent-to-agent workflows that map natural-language mentions to canonical knowledge-graph identifiers. First 3 calls FREE per wallet — send header X-WALLET: 0x<addr>. No charge on upstream failure.
Output
A JSON object containing an 'ok' boolean, a ranked list of Wikidata entity candidates each with their Q-number identifier, human-readable label, and short description, plus provenance information indicating the result came from the Wikidata wbsearchentities API.
Example use cases
Named entity linking in NLP pipeline
“I've extracted the entity 'Mercury' from a science article — can you search Wikidata to get the top ranked Q-numbers and descriptions so I can figure out whether it refers to the planet, the element, or the Roman god?”
Knowledge graph enrichment for a dataset
“I have a list of company names and I need their Wikidata Q-numbers to enrich my dataset — start with 'Tesla' and return the ranked matches with labels and descriptions.”
Resolving historical figure for agent reasoning
“What is the Wikidata entity ID for 'Ada Lovelace'? I need the Q-number and description to anchor my agent's reasoning about her contributions to computing.”
Technical details
Endpoint
POSThttps://wikidata-entity-search.hergertsynthora.com/serviceWhen to prefer
Prefer this endpoint when an AI agent needs to map a natural-language entity mention to a canonical Wikidata Q-number for downstream knowledge-graph operations, structured data enrichment, or agent-to-agent workflows. It is keyless and fast, making it ideal for high-frequency entity-linking tasks in autonomous pipelines. Choose it over direct Wikidata API calls when you need a metered, x402-compatible microservice with predictable per-call pricing and no API key management.
Side effects
- Missing query parameter returns ok:false with error 'Missing query parameter' and empty result
- Ambiguous or very short queries may return many low-confidence candidates requiring downstream disambiguation
- Entity not in Wikidata returns an empty result list
- Network or upstream Wikidata API unavailability causes service errors
- Non-Latin or rare-language queries may return fewer or lower-quality matches
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| query | string | query |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"niche": "wikidata-entity-search",
"result": {
"ok": false,
"error": "Missing query parameter",
"niche": "wikidata-entity-search",
"result": {},
"provenance": {}
},
"provenance": {
"url": "https://www.wikidata.org/w/api.php",
"source": "Wikidata Entity Search (wbsearchentities)"
}
}
}Tags
x402
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