Tabnine

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32Failing

Agent Readiness Score

Trust Score (verification + history)

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Score History

First scanned: March 31, 2026Not Scored

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machine readable profile

10 / 20

[Discoverability] Publish an OpenAPI 3.x spec at /openapi.json so agents can understand your API surface.
[Discoverability] Create /agent-card.json (the v0.3 A2A spec canonical path) describing your service capabilities, supported protocols, and authentication methods.

mcp api endpoints

6 / 20

[API Quality] Expose an MCP server at /.well-known/mcp.json or /api/mcp so AI agents can discover and call your tools.
[API Quality] Ensure your API endpoints return application/json content-type for agent compatibility.

agent native onboarding

machine readable profile

10 / 20

[Discoverability] Publish an OpenAPI 3.x spec at /openapi.json so agents can understand your API surface.
[Discoverability] Create /agent-card.json (the v0.3 A2A spec canonical path) describing your service capabilities, supported protocols, and authentication methods.

mcp api endpoints

6 / 20

[API Quality] Expose an MCP server at /.well-known/mcp.json or /api/mcp so AI agents can discover and call your tools.
[API Quality] Ensure your API endpoints return application/json content-type for agent compatibility.

agent native onboarding

structured pricing

2 / 20

[Pricing Transparency] Create /api/pricing returning JSON with plan names, prices, rate limits, and per-call costs so agents can evaluate before purchasing.
[Pricing Transparency] Offer a free tier or sandbox mode so agents can test your service before committing to paid usage.

agent payment acceptance

7 / 20

[Data Quality] Ensure your API endpoints return application/json responses. Data quality cannot be assessed without structured API data.
[Security] Add rate limiting with X-RateLimit-Limit and X-RateLimit-Remaining headers so agents can self-throttle.