All projects on Base matching “wikidata”

Wikidata entity search — find the Wikidata item for a person, organisation, place, work or concept by name or alias, in any language, with id, label, description and which term matched; or find a property by name. Use to get the Q-id before asking for an entity's facts, identifiers or links.

Search Wikidata for entities matching a text query, returning candidate Q-ids with labels and descriptions.

$0.01/screen. Screen any name against OFAC, EU, and UK sanctions (UN included) plus Wikidata-derived PEP watchlists — fuzzy matching, instant JSON verdict. Compliance in one call, one of 155 Relaystation tools on one balance — relaystation.ai

Hiking trails from OpenStreetMap (via the free Waymarked Trails API), not from AllTrails, which blocks automated access: search by trail name or list routes around a point. Per trail: OSM ID, name, ref, network level, length in km, loop/linear, hardest OSM sac_scale difficulty, surfaces, operator, website, Wikidata, description and center point. No user ratings, reviews or photos (OSM has none). C

Resolves one public name on Wikidata and returns a relationship graph from a fixed property list (instance of, country, headquarters, founder, chief executive, ownership, employer, education, membership, and similar), up to two hops. People include only notable public roles. If nothing matches, the graph is empty and reason explains why.

Company/org enrichment pack $0.04 — name, employees, country, industry, website (Wikidata+SEC). Aliases: /company-enrich /org-enrich. Keyless. format=apollo_org. Upsell verified company file $0.95.

Wikipedia article summary — plain-text and HTML extract, short description, thumbnail and Wikidata id for any title, in a clean normalized envelope with CC-BY-SA attribution.

Deep verify. Use when a claim is high-stakes, or when Check answer or Extract claims marks it unsure (next_step). Checks it against Wikipedia, Wikidata, Google News, Europe PMC studies, FRED economic data and SEC EDGAR filings, and flags contradiction when sources disagree. Async: returns a job_id; poll GET /v1/jobs/{id} free for verdict, evidence for and against, citations. $0.75 USDC.

Screen a person or company name against international sanctions (US OFAC SDN + Consolidated, EU, UK, Canada), Politically Exposed Persons (national politicians of Mexico, Brazil, Colombia, Argentina, Dominican Republic, Canada and the US, from Wikidata) and national lists (Mexico: SAT 69/69-B and sanctioned suppliers; Brazil, Colombia, Argentina, Dominican Republic). Fuzzy name + alias matching wi

Profile a company by domain, name, CIK, ticker or LEI: legal name, LEI, CIK, EIN, tickers, SIC, addresses, revenue, employees, founded, status, last filing, each with source and as_of, null when unstated; GLEIF, SEC EDGAR and Wikidata joined. Vintage 2026-09-28: 3508642 entities (1758 joined, 3434618 LEI-only, 72266 CIK-only); domain index: 22574 companies, 21270 domains, 825 shared. Free: 400 mal

Advanced startup name check: domains across 13 TLDs, GitHub, npm, PyPI, X, YouTube and Instagram handles, available .com name variants, notable Wikidata name collisions, plus ready-to-call links for App Store, Google search and EU trademark checks.

Claim check with citations (claims only, never people). Wikidata+OpenAlex+Crossref grounding + LLM verdicts. Unverifiable → charged:false.

Wikidata entity lookup (CC0, keyless). Q-id and/or search → trimmed labels/descriptions/aliases + small claim set.

Public Wikidata relationship graph (≤2 hops). Fixed property list; privacy bounds (no family/contact). Empty+reason → charged:false. Amp port.

Wikimedia REST per-article pageviews (keyless). POST {article|title, start, end, project?, access?, agent?, granularity?}. Unpaid empty → 402; after settle empty/invalid → 400 charged:false. Soft disclose wikidata-entity / wikipedia-summary.

Extract entities/fields from text into a caller JSON Schema. Wikidata QID links + source spans. Fail closed (no charge) if output does not validate.

Company/organization info for a domain from free public sources: homepage meta + OpenGraph, social links, contact emails on the page, Wikidata (founded, HQ, industry, website, Wikipedia), DNS MX email provider

Use when you need structured, machine-readable facts rather than prose: give a Wikidata ID (Q95) or a name (resolved to the best-matching item) and get its label, description, aliases, Wikipedia link and up to ~50 curated properties with human-readable labels: instance of, country, location, coordinates, inception/dissolution, official website, headquarters, industry, employees, revenue, stock exc