Crunchbase vs People Data Labs
People Data Labs scores higher on the AgentReady, 50/100 against 31/100. They differ on 15 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.
People Data Labs. Talent sourcing platform that builds workforce data, so you don't have to.
Where Crunchbase is ahead
Crunchbase passes no mandatory sales call and cli available, and People Data Labs does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.
It also holds operate: rate-limit behavior predictable. People Data Labs misses it.
Where People Data Labs is ahead
People Data Labs passes public docs discoverable, llms.txt published, llms-full.txt / full agent docs 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: pricing understandable. Crunchbase misses it.
And on adopt, self-service signup, free trial or free allowance, fast time to first request, copyable quickstart and official python sdk. Crunchbase misses those.
Finally, on operate, structured, predictable output and observable execution. Crunchbase misses those.
What neither does
Both fail clear canonical domain, mcp discoverable, structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, agent-compatible signup flow, programmatic credential creation, mcp integration available, machine-readable errors, retry behavior documented, idempotency support, agent compatibility verified. 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 is whether an agent can find the product at all without being told it exists. People Data Labs leads 80 to 47. Crunchbase misses clear canonical domain, public docs discoverable, llms.txt published, llms-full.txt / full agent docs, mcp discoverable, machine-readable metadata; People Data Labs misses clear canonical domain, mcp discoverable.
Understand. People Data Labs leads 23 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; People Data Labs misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.
Adopt. People Data Labs leads 50 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; People Data Labs misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, cli available, mcp integration available.
Operate. People Data Labs leads 47 to 35. Crunchbase misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, observable execution, agent compatibility verified; People Data Labs misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.
Pricing
Crunchbase does not publish a machine-readable starting price. People Data Labs does not publish one and has a free tier.
Signal by signal
| Signal | Crunchbase | People Data Labs |
|---|---|---|
| AgentReady | 31 | 50 |
| Discovery | 47 | 80 |
| Understanding | 15 | 23 |
| Adoption | 25 | 50 |
| Operability | 35 | 47 |
| Public API | Yes | Yes |
| MCP server | No | Unknown |
| OpenAPI spec | Unknown | Unknown |
| CLI | Yes | Unknown |
| llms.txt | Unknown | Yes |
| Self-serve signup | Unknown | Yes |
| Free tier | Unknown | Yes |
Which to pick
People Data Labs clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Crunchbase and People Data Labs. Alternatives to each: Crunchbase, People Data Labs.
An agent can fetch this as data: POST /v1/compare {"slugs": ["crunchbase", "peopledatalabs"]}