Hunter alternatives
The highest-scoring alternative to Hunter is Apollo at 64/100 on the AgentReady, against 57/100 for Hunter.
All scored in Company & Contact Data APIs.
| Score | Alternative | Compare |
|---|---|---|
| 64 | Apollo | Hunter vs Apollo |
| 59 | Diffbot | Hunter vs Diffbot |
| 53 | Clearbit | Hunter vs Clearbit |
| 50 | People Data Labs | Hunter vs People Data Labs |
| 47 | Clay | Hunter vs Clay |
| 31 | Crunchbase | Hunter vs Crunchbase |
What Apollo does that Hunter does not
Apollo passes clear product positioning, public docs discoverable, limits / constraints documented, cli available, and Hunter fails them. That is the whole of the gap between the two scores, so if none of those matter to your agent the ranking above overstates the difference.
Why people look for an alternative
Hunter fails clear product positioning, public docs discoverable, structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, cli available, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable. Each one is a place an unattended run stops, which is usually what sends someone looking in the first place.
Where Hunter loses the points
| Pillar | Hunter | What it measures |
|---|---|---|
| Discover | 73 | Can an agent find it at all: sitemap, robots, structured data. |
| Understand | 31 | Is there a spec, an llms.txt, a machine-readable description. |
| Adopt | 67 | Signup, keys, SDKs, and whether a human has to be involved. |
| Operate | 56 | Rate-limit headers, errors, status, and behaviour under load. |
Hunter is weakest on understand at 31/100. Without a spec an agent has to guess at endpoints, and it guesses wrong. If that is the part your agent depends on, take the ranking above seriously; if it is not, Hunter may still be the right pick.
What an agent runs into with Hunter
These are the findings from the last audit on 2026-08-23. Each one is a place unattended software stops, which is the practical reason to look at the list above.
- Make docs reachable without auth or navigation gymnastics.
- Publish an OpenAPI spec so agents can generate a client.
- Flesh out the OpenAPI: paths, schemas, and descriptions.
- Document error responses as an enum in your OpenAPI.
- Let agents create API keys programmatically.
- Return X-RateLimit / Retry-After headers so agents pace themselves.
- Add request examples to your API reference.
- Add response examples to your API reference.
What this category actually supports
Across the 7 products scored in Company & Contact Data APIs, enrich a person is offered by 29%, find b2b contacts is offered by 29%, enrich a company is offered by 14%, research a company is offered by 14%. Anything under half is a gap you should expect to fill yourself whichever one you pick.
An agent can get this list directly: resolve("alternative to Hunter") over the MCP server, or GET /v1/categories/data-enrichment.