ScrapeMole Wiki: Wikidata Entity Facts Lookup

x402

ScrapeMole Wiki: Wikidata Entity Facts Lookup is a paid API for AI agents from wiki.scrapemole.workers.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-30).

Fetches structured Wikidata facts (ticker, country, inception, headquarters, stock exchange, website, etc.) for a named organization, place, product, or concept, with CC0 attribution included.

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

Pay-per-call encyclopedic knowledge for agents: Wikipedia article summaries and full-text search in any language edition, and structured Wikidata facts (organizations, places, products, concepts) with labels resolved. Every response carries the license and credit (Wikipedia CC BY-SA 4.0, Wikidata CC0). Non-personal data only: articles and entities about individual people are refused and not charged. USDC via x402, no accounts. Payments: x402 v2, scheme "exact", USDC on Base (eip155:8453). The payment is verified before the work and settled only when the response is 200. Terms: https://wiki.scrapemole.workers.dev/terms

Output

A JSON object containing the Wikidata entity ID, a human-readable label, a short description, structured facts (ticker symbol, country with Q-ID and label, inception date, instanceOf categories, headquarters, stock exchange, official website), a link to the full Wikidata page, a link to the Wikipedia article, and CC0 attribution metadata.

Example use cases

Company profile enrichment for CRM

“Pull the Wikidata facts for Stripe — I need the country it's headquartered in, its founding date, and the instance-of categories so I can enrich our CRM record.”

Stock ticker lookup for financial research

“What's the stock ticker symbol and which exchange does Siemens trade on? Look it up via Wikidata.”

City or place metadata for travel app

“Get me the structured Wikidata facts for Vilnius — I want its country, coordinates if available, and a short description to display in our travel app.”

Technical details

Endpoint

GEThttps://wiki.scrapemole.workers.dev/v1/entity?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need structured, machine-readable facts about a known non-personal entity (company, city, product, concept) and want Wikidata's authoritative properties (ticker, headquarters, founding date, official website) rather than a prose summary. It is especially useful for data enrichment pipelines, CRM augmentation, and financial research where individual facts with labeled IDs matter. Prefer this over the Wikipedia summary endpoint when you need discrete structured fields rather than a narrative description.

Side effects

Query matches a person — refused and not charged (non-personal data policy)
Entity not found in Wikidata — returns 404 or empty result
Ambiguous name resolves to wrong entity — caller should use Wikidata Q-ID (id param) for precision
Payment not verified — 402 response before work is done
Invalid Wikidata Q-ID format — query param validation error
Requested language label not available — falls back to English or returns unlabeled ID

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "id": "Q4778915",
    "url": "https://www.wikidata.org/wiki/Q4778915",
    "facts": {
      "ticker": "NET",
      "country": {
        "id": "Q30",
        "label": "United States"
      },
      "inception": "2009-07-01",
      "instanceOf": [
        {
          "id": "Q4830453",
          "label": "business"
        },
        {
          "id": "Q72588",
          "label": "content delivery network"
        }
      ],
      "headquarters": {
        "id": "Q62",
        "label": "San Francisco"
      },
      "stockExchange": {
        "id": "Q13677",
        "label": "New York Stock Exchange"
      },
      "officialWebsite": "https://www.cloudflare.com/"
    },
    "label": "Cloudflare",
    "wikipedia": "https://en.wikipedia.org/wiki/Cloudflare",
    "attribution": {
      "credit": "Wikidata contributors",
      "license": "CC0 1.0 (Wikidata)"
    },
    "description": "American technology company"
  }
}

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