filters object as the request body, and receive a paginated array of matching companies immediately in the response.
Building a list with structured filters
Apply precise criteria across 10 filter groups (firmographic, business model, financials, location, technology, funding, and more) using exact-match, range, boolean, or nested conditions. Filters from different groups can be combined in a single request. All conditions are combined with AND logic — a company must match every specified filter to be included in the results.What you get back
Each company in the response includes its identity fields:- uuid: akta.pro unique identifier for the company
- name : company name
- website : company website URL
- product category: type of products the company deals with
- company type: public or private
Common use cases
- Sales prospecting : build a list of companies matching your ideal customer profile (industry, headcount, funding stage, tech stack) for outbound campaigns
- Market mapping : enumerate every company in a market segment (e.g. “API-first fintech companies in Europe”) to size a market or identify competitors
- Investor sourcing / deal flow : filter by funding stage, investor, or funding round criteria to surface companies matching an investment thesis
- Lookalike / expansion targeting : combine firmographic and technology filters to find companies similar to your best customers
.png?fit=max&auto=format&n=SdGZnb5iGLBOelR9&q=85&s=6e183af2c7498a76797d0c8d9a81b986)
.png?fit=max&auto=format&n=SdGZnb5iGLBOelR9&q=85&s=7702c636c517001e39df24a084a9728d)