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Bronze

51Bronze

0

Agent Readiness Score

0

Trust Score (verification + history)

$0.00

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Score History

First scanned: March 31, 2026Bronze

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Score Breakdown

machine readable profile

19 / 20

[Discoverability] Create /agent-card.json (the v0.3 A2A spec canonical path) describing your service capabilities, supported protocols, and authentication methods.
[Discoverability] Create /AGENTS.md and /.github/AGENTS.md (Linux Foundation standard) with agent-specific instructions: auth methods, rate limits, preferred endpoints, and behavioral guidelines.

mcp api endpoints

10 / 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

10 / 20

[Onboarding] Create /api/signup or /api/register that accepts JSON POST and returns credentials — enabling agents to self-onboard without a browser.
[Onboarding] Add /api/keys or /api/api-keys endpoint for programmatic API key generation so agents can obtain credentials.

structured pricing

6 / 20

[Pricing Transparency] Offer a free tier or sandbox mode so agents can test your service before committing to paid usage.
[Pricing Transparency] Add explicit "plans" array or "price_per_call" fields to your pricing JSON so agents can compare programmatically.

agent payment acceptance

10 / 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.