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Lever | AgentHermes

Lever

Bronze

54Bronze

0

Agent Readiness Score

0

Trust Score (verification + history)

$0.00

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Score History

First scanned: May 28, 2026Bronze

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Score Breakdown

machine readable profile

13 / 20

[Discoverability] Convert your API documentation to OpenAPI 3.x format for maximum agent compatibility.
[Discoverability] Create /agent-card.json (the v0.3 A2A spec canonical path) describing your service capabilities, supported protocols, and authentication methods.

mcp api endpoints

15 / 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] Add X-Request-Id and rate limit headers (X-RateLimit-Limit, X-RateLimit-Remaining) to all API responses including 401/403 errors. These help agents debug and respect rate limits.

agent native onboarding

6 / 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

8 / 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

12 / 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 75/100 for data quality.
[Data Quality] Include a request_id field in error response bodies and X-Request-Id in response headers. This enables agents to reference specific failed requests for debugging.