Is your API ready for AI agents?

Score your OpenAPI spec in seconds. Find out what LLMs struggle with — and fix it before your users do.

Get API Key Try Free (CLI)

What AgenticScore checks

Examples

Do your operations and schemas include request/response examples? LLMs learn from examples more than descriptions.

Semantic Clarity

Are descriptions meaningful (not just "Gets a thing")? Agents need context to pick the right endpoint.

Error Handling

Do you document 4xx/5xx responses? Agents need to handle failures gracefully. Bonus for RFC 9457 Problem Detail.

Intent Signals

Are operationIds descriptive? Are endpoints tagged? Agents use these to understand what an endpoint does.

Parameter Docs

Are query params described? "limit" is obvious — "q" is not. Agents need to know what values to pass.

Pagination

Can agents paginate through list endpoints? Missing pagination means truncated data or infinite loops.

Two ways to use it

    # CLI (free, local)

    npx agenticscore score ./openapi.yaml

    # API (hosted, authenticated)

    curl -X POST https://api.agenticscore.com/v1/score \

      -H "x-api-key: ar_live_your_key" \

      -H "Content-Type: application/yaml" \

      --data-binary @openapi.yaml

Pricing

Free

npm CLI (unlimited local use)
50 API calls/month
JSON + text output

Install CLI

Developer

$5/mo

Unlimited API calls
JSON + text + markdown output
Score badge for README

Get API Key

Pro

$9/mo

Everything in Developer
CI/CD integration (GitHub Actions)
Slack/webhook notifications
Score on every PR