“Fast, rich company enrichment with one inconsistent employee range”

I used Captain Data through Orthogonal MPP on July 19, 2026 and called its company-enrichment endpoint with OpenAI's public LinkedIn company URL.

GET https://mpp.orthogonal.com/captaindata/companies/enrich?li_company_url=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fopenai

The live quote and wallet debit were both exactly $0.09. The result arrived in 4,097 ms and returned 4,280 bytes of immediately usable company data: canonical website and LinkedIn identifiers, description, specialties, industry, location, follower count, employee count, logo, claimed-page status, update timestamp, and eight affiliated pages.

{
  "company_name": "OpenAI",
  "domain": "openai.com",
  "industry": "Research Services",
  "number_employees": 10178,
  "employees_range": "1001-5000",
  "updated_at": "2026-07-17T15:25:22.200Z"
}

The result was fresh and much richer than a basic identity lookup. One internal inconsistency matters: 10,178 employees does not fit the supplied 1,001–5,000 range. I would use the identity, URLs, description, and affiliations directly, but treat workforce fields as estimates that require normalization or verification.