Compare

Clay vs Hunter

Hunter scores higher on the AgentReady, 57/100 against 47/100. They differ on 11 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Clay. Clay is a go-to-market data platform that provides data infrastructure, AI agents, orchestration, and execution tools for sales and marketing teams.

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

Where Clay is ahead

Clay passes public docs discoverable, 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, copyable quickstart and cli available. Hunter misses those.

Where Hunter is ahead

Hunter passes llms.txt published and llms-full.txt / full agent docs, and Clay 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. Clay misses those.

And on adopt, self-service signup and free trial or free allowance. Clay misses those.

Finally, on operate, agent compatibility verified. Clay misses it.

What neither does

Both fail clear product positioning, 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, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable. 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. Both sit at 73/100 here. Clay misses clear product positioning, llms.txt published, llms-full.txt / full agent docs; Hunter misses clear product positioning, public docs discoverable.

Understand. Hunter leads 31 to 15. Clay 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. Hunter leads 67 to 65. Clay misses self-service signup, programmatic credential creation, free trial or free allowance, fast time to first request; Hunter misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, cli available.

Operate is whether an agent can run against it in production and recover when a call fails. Hunter leads 56 to 35. Clay misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Hunter misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable.

Pricing

Clay 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: Clay and Hunter. Alternatives to each: Clay, Hunter.

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