How it works

Score → Fix → Gate → PR

The whole loop, automated.

1
Score

A static + agent scan returns an Agent Readiness Score and a per-flow task-completion rate.

2
Diagnose

A funnel shows the exact step agents fail at, mapped to a versioned failure class.

3
Fix

Each failure maps to a fix: schema.org, llms.txt, ARIA/form attributes, deterministic checkout states.

4
Gate

A GitHub PR ships the fix; a CI check blocks future merges that regress agent-readiness.

Built to run anywhere agents do

We test against real agent behavior, so the findings hold no matter which standard (llms.txt, NLWeb, UCP) wins. Runs are async and metered — nothing sits in your request path, and our agents identify themselves honestly, never disguised as humans.

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