Company Lookup: Website, LEI, Ticker and Profile

Turn a company name, website domain, LEI or Wikidata id into one clean profile: official website and domain, stock ticker and exchange, industry, headquarters, founding year, employees, logo, social handles (X, LinkedIn, Facebook, Instagram, GitHub, YouTube, Crunchbase), plus the registered legal entity (LEI, legal name, registration number, legal and HQ address, parents) from GLEIF. It joins two open datasets (Wikidata and the GLEIF Global LEI Index), so there is no scraping, no proxy, no login and no API key.

What you can do with it

• Name to domain: clean a CRM list of company names into official websites.
• Domain to company: find the company, ticker and legal entity behind a website.
• KYC and compliance enrichment: get the LEI, registered name, registration number and legal address of a counterparty.
• Corporate structure: add direct and ultimate parent companies.

Input

Field	What it does
queries	Company names, domains (stripe.com), LEI codes or Wikidata ids (Q95).
includeLegalEntity	Add the GLEIF legal entity block (on by default).
includeParents	Add direct and ultimate parent (slower).
keywords	Keep only profiles containing one of these.
maxItems	Hard cap on results (and cost).

Example:

{ "queries": ["Stripe", "nike.com", "Siemens AG"], "includeParents": true }

Output

One item per company:

{
  "query": "Stripe", "matchedBy": "name", "name": "Stripe", "wikidataId": "Q7624104",
  "website": "https://stripe.com/", "domain": "stripe.com", "founded": 2010, "employees": 8000,
  "tickers": [], "industries": ["..."], "headquarters": "...", "matchConfidence": "high",
  "legalEntity": { "lei": "549300CLHGIPTCYHQ143", "legalName": "STRIPE, LLC", "jurisdiction": "US-DE",
                   "legalAddress": { "city": "...", "country": "US" }, "registrationNumber": "..." }
}

legalEntity is null when the company has no LEI. Public companies, banks and funds almost always have one; many startups do not. Non-Latin legal names (Japanese, Korean, ...) come with legalNameLatin. For a name or domain, otherCandidates lists up to three other companies it could have meant (e.g. a subsidiary or brand), so you can correct a match yourself.

Pricing

Pay per result: $1.00 per 1,000 companies (company-resolved). Queries that cannot be matched with confidence fail and are not charged; a run where nothing matches fails instead of returning an empty dataset.

Limits and notes

• Coverage follows Wikidata: well-known companies resolve reliably, small local firms often do not. matchConfidence tells you how sure the match is.
• Headcount, revenue and founding year come from Wikidata and may be dated.
• The company must have a Wikidata entry; the LEI/GLEIF block needs an LEI. An LEI query whose company has no Wikidata entry still returns the legal entity.
• A name that best matches something other than a company (a town, a planet, a person) fails with the closest matches instead of returning a wrong profile, and the legal entity is joined only when the registered name and country agree.
• Both sources are open public APIs and are called at a gentle rate.