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Use a single endpoint and describe what you’re looking for in plain English — “high-growth fintech companies in Germany founded after 2022” or “VC investors focused on climate.” Specter handles the rest, mapping your query to the right filters and returning the matching records.

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What’s covered

  • All eight products are searchable through the single AI search endpoint: companies, people, investors, talent signals, investor-interest signals, funding rounds, acquisitions, and IPOs.
  • Every filter a product supports can be expressed in the query — geography, sector, growth stage, funding, headcount, revenue, seniority, dates, “similar to” a company, “backed by” an investor, and so on.
  • Set resource_type to force the product, or omit it to let Specter infer it; the response reports the product actually searched.

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Return types

Each result is the same rich object the product’s own endpoints return, so you can chain and parse it identically.
resource_typeReturnsObject
companyCompaniesCompany
peoplePeoplePerson
investorsInvestorsInvestor
talent_signalsTalent signalsTalent Signal
interest_signalsInvestor-interest signalsInvestor Interest Signal
funding_roundsFunding roundsFunding Round
acquisitionsAcquisitionsAcquisition
iposIPOsIPO

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How to use

  • Send query (required) and optionally resource_type. Paginate with page/limit (default 25, max 100).
  • Check the count first, cheaply: send limit=1 and read total_count (or the X-Total-Count header) before committing credits.

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Notes

  • Costs 1 credit per result returned (a page of 25 results = 25 credits).
  • User-scoped filters are not supported — your network, CRM, or saved lists can’t be resolved (the API authenticates as an organisation, not a user); such a query returns 422.