Lemonsqueezy

Not Scored

39Failing

Agent Readiness Score

Trust Score (verification + history)

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Score History

First scanned: March 29, 2026Not Scored

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machine readable profile

4 / 20

[Discoverability] Create /.well-known/agent.json describing your service capabilities, supported protocols, and authentication methods.
[Discoverability] Create /llms.txt with a plain-text description of your service optimized for LLM consumption.

mcp api endpoints

11 / 20

[Interoperability] Expose an MCP server at /.well-known/mcp.json or /api/mcp so AI agents can discover and call your tools.

agent native onboarding

6 / 20

machine readable profile

4 / 20

[Discoverability] Create /.well-known/agent.json describing your service capabilities, supported protocols, and authentication methods.
[Discoverability] Create /llms.txt with a plain-text description of your service optimized for LLM consumption.

mcp api endpoints

11 / 20

[Interoperability] Expose an MCP server at /.well-known/mcp.json or /api/mcp so AI agents can discover and call your tools.

agent native onboarding

6 / 20

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

11 / 20

[Data Quality] Expose at least one public endpoint (e.g., /api/health, /api/status) that returns JSON without authentication. Auth-protected APIs are capped at 40/100 for data quality.
[Security] Add rate limiting with X-RateLimit-Limit and X-RateLimit-Remaining headers so agents can self-throttle.