Find Similar Companies and Competitor Candidates
View all Crunchbase Company & Investment Data endpoints →Find organizations described as similar to a selected Crunchbase company. The required company query parameter accepts a Crunchbase permalink such as openai, an organization UUID, or a full Crunchbase organization URL. Only this company selector is documented; the route does not define similarity-threshold, location-filter or pagination parameters. The available response evidence is an unverified documented example, not an observed live response. It contains company with id, image, link, name, type and uuid; similar_companies with nested company identity records, numeric score, contacts_count, location, micro_categories and reasons; and ranks_by_category with category, category_id, companies_in_category and rank. The location object includes city, continent, country, region, groups and ids. Category can be null. The competitors and similar_by_products arrays are empty in the example, so their nonempty item structures are not established. Use score, reasons and micro_categories as research signals rather than proof of direct competition or corporate affiliation. No score scale, scoring method, result-completeness guarantee or freshness interval is documented. contacts_count is a count field, not a list of contact details. Empty arrays and missing category labels should remain distinguishable from confirmed absence.
API Features
Live API Demo
🔒 Sign in to try it live
Log in to call this API with your own API key. New accounts get 100 free credits — no card required.
Log in / Sign upNo active API key found. Create one in your Dashboard, then reload this page. Dashboard →
/api/project/crunchbase/similar-companies API Response (JSON)
{} curl -X GET 'https://api.opendata-api.com/api/project/crunchbase/similar-companies?key=<API_KEY>&company=openai'
Query Result
Use Cases
- Seed a competitor-research shortlist from a confirmed organization using reported similarity scores, niches and match reasons.
- Suggest account-based marketing expansion candidates for analyst review without inferring a corporate relationship from similarity.
- Compare a company's documented category ranks while keeping null category labels separate from unavailable identifiers.
- Screen candidate geography before researching regional market overlap, without claiming that geographic proximity proves competition.
- Build a company-discovery interface that distinguishes similar-company candidates from the separate competitor and product-similarity arrays.
Frequently asked questions
What should I pass in company when looking for similar organizations?
Pass the target organization's Crunchbase permalink, organization UUID or full Crunchbase organization URL. For example, openai is the documented permalink default. A free-text company name or website domain is not a documented input format for this endpoint.
Are the similarity score and response fields verified by a live test?
No live response is recorded in the available evidence for this endpoint. Fields such as similar_companies, score, reasons and ranks_by_category come from an unverified documented example. The example does not define the score scale or calculation method.
Does a similar_companies match prove that two businesses are competitors?
No. Treat scores, shared micro_categories and reasons as leads for further research. Similarity does not establish direct competition, shared ownership or a commercial relationship. The example also contains a separate competitors array, but that array is empty.
How should I interpret empty competitor arrays or a null category label?
The documented example has empty competitors and similar_by_products arrays and a null category label in ranks_by_category. Preserve those states rather than concluding that no competitors or category exist. The example does not establish nonempty item schemas for those two arrays.
Can I set a minimum score, filter by country or request another page?
The documented request exposes only the required company query parameter. It does not define score thresholds, country filters or pagination controls. You can review returned candidates locally, but should not assume that the response is an exhaustive candidate set.