Compare

Crunchbase vs Hunter

Hunter scores higher on the AgentReady, 57/100 against 31/100. They differ on 18 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Crunchbase. Crunchbase is a platform that provides industry-leading predictive intelligence for private market opportunities, offering data on companies, funding rounds, acquisitions, and executive changes.

Hunter. Hunter is an all-in-one email outreach platform for finding and connecting with professional contacts.

Where Crunchbase is ahead

Crunchbase passes clear product positioning, and Hunter does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: no mandatory sales call and cli available. Hunter misses those.

And on operate, rate-limit behavior predictable. Hunter misses it.

Where Hunter is ahead

Hunter passes clear canonical domain, llms.txt published, llms-full.txt / full agent docs, mcp discoverable and machine-readable metadata, and Crunchbase does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: authentication documented and pricing understandable. Crunchbase misses those.

And on adopt, self-service signup, agent-compatible signup flow, free trial or free allowance, official python sdk and mcp integration available. Crunchbase misses those.

Finally, on operate, observable execution and agent compatibility verified. Crunchbase misses those.

What neither does

Both fail public docs discoverable, structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, programmatic credential creation, fast time to first request, copyable quickstart, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support. If your agent needs any of those, you will be building it yourself either way.

Score, pillar by pillar

The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.

Discover. Hunter leads 73 to 47. Crunchbase misses clear canonical domain, public docs discoverable, llms.txt published, llms-full.txt / full agent docs, mcp discoverable, machine-readable metadata; Hunter misses clear product positioning, public docs discoverable.

Understand. Hunter leads 31 to 15. Crunchbase misses structured api reference, openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Hunter misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt is whether an agent can get a key and make its first successful call without a human in the loop. Hunter leads 67 to 25. Crunchbase misses self-service signup, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart, official python sdk, mcp integration available; Hunter misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, cli available.

Operate. Hunter leads 56 to 35. Crunchbase misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, observable execution, agent compatibility verified; Hunter misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable.

Pricing

Crunchbase does not publish a machine-readable starting price. Hunter does not publish one and has a free tier.

Signal by signal

Which to pick

Hunter clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Crunchbase and Hunter. Alternatives to each: Crunchbase, Hunter.

An agent can fetch this as data: POST /v1/compare {"slugs": ["crunchbase", "hunter"]}