Korpora · Free agent-readiness audit

Claim your free agent-readiness audit

We score your API on the five things an AI agent needs to find you, understand you, and actually use you, with no human in the loop. You get your scorecard, your rank against the market, and the exact surfaces to ship next. Back in 24 hours.

Get my free auditFree · scorecard in 24 hours · no sales call

Why agent-readiness decides who gets used

Agents are crossing from recommending tools to operating them. Told to “set up cross-border payouts,” an agent goes looking for an API to call, reads the docs, and integrates, with no human in the loop.

If it can find you, understand you, and provision itself, you win the task by default. If it hits a login wall, a gated PDF, or a sales form, it moves to the provider that let it through. You never surface.

And unlike AI mindshare, which waits on the next training cycle, this is infrastructure you control. Publish an llms.txt on a Tuesday and an agent can read it that afternoon. Of the two gaps you can have, this is the one you can close now.

What's in the audit

We inspect your API from the outside, the way an agent would, with no access and nothing required from you but a domain. You get four things back, by email, in 24 hours:

1
Your score, all five dimensions
The same scale we use on the public benchmark, so your number is comparable, not graded on a curve.
2
Where you rank
How you stack against the providers we have already audited in your category, leaders named.
3
Every surface you're missing
Named specifically, from a missing llms.txt to no OpenAPI spec to the absence of an agent surface.
4
What to ship, in order
A prioritized punch-list to close each gap, fixable-this-week items first, each with a paste-ready engineer prompt. No retainer, nothing held back.

The five dimensions we score

Discoverability. An llms.txt or an AI-readable entry point, versus an agent having to guess where the API even lives.

Machine-readable docs. A public OpenAPI spec and structured, fetchable documentation, versus gated PDFs or login walls.

Native agent surface. A published MCP server or an explicit agent integration: a way an agent uses the API directly, not just reads about it.

Self-serve sandbox. Whether a developer, or an agent, can get sandbox keys and make a first call without a sales conversation.

SDKs. Official client libraries on npm, PyPI or GitHub that drop the cost of integrating from days to minutes.