Search 70M+ enriched company profiles using flexible filters: industry, location, employee size, revenue, funding, techn…
Authentication
No API key — create one in the dashboard
Body
Up to 5 LinkedIn company URLs or domains to find similar companies
Company-level filters (nested DSL). Wrappers: enum/string keys use {"any":{"include":[...],"exclude":[...]}} ("all" instead of "any" requires every value); text keys use {"any":{"include":{"mode":"WORD","content":[...]}}} (mode: WORD|SMART|STRICT|PHRASE); numeric keys use {"type":"RANGE","range":[{"start":n,"end":n}]}. Keys — text: industries, technologies, name, url, productAndServices; enum: location, type, domain, socialMedia, naics; range: employeeSize, revenue, foundedYear; object: funding, keyword, metric, geoLocation. type values: PUBLIC_COMPANY, PRIVATELY_HELD, SELF_EMPLOYED, SELF_OWNED, PARTNERSHIP, GOVERNMENT, NON_PROFIT, EDUCATIONAL. funding.type values: PRE_SEED, SEED, SERIES_A…SERIES_J, VENTURE_ROUND, ANGEL, PRIVATE_EQUITY, DEBT_FINANCING, CONVERTIBLE_NOTE, GRANT, CORPORATE_ROUND. Unknown enum values return 0 results silently — match spellings exactly. e.g. {"industries":{"any":{"include":{"mode":"WORD","content":["software development"]}}},"location":{"any":{"include":["United States"]}},"employeeSize":{"type":"RANGE","range":[{"start":10,"end":50}]}}
Page number, zero-based
Number of results per page (1–100)
import requests url = "https://api.coldiq.com/v1/ai-ark/companies" headers = { "Authorization": "Bearer ", "Content-Type": "application/json" } response = requests.post(url, headers=headers) print(response.json())