Greip API

{
  "service_type": "platform",
  "base_url": "https://greip.io",
  "auth_method": "unknown",
  "auth_config": {},
  "endpoints": [],
  "pricing_model": {
    "type": "unknown",
    "details": {}
  },
  "rate_limits": {},
  "capabilities": [
    "API documentation",
    "Contact/support channel",
    "Developer-facing API service"
  ],
  "raw_analysis": "Greip is an API service whose public-facing page at https://greip.io/contact functions as a contact/support and documentation entry point. The provided content is thin: it describes that the site hosts documentation for the Greip API, covering API methods, options, and features. No REST endpoint list, authentication scheme, rate limits, or pricing details are exposed in the supplied material. The /contact URL suggests a contact form or support/lead-capture page rather than a machine-readable API surface. Based on the branding (\"greip\"), this appears to be an API-first product likely in the fraud detection, phone/IP intelligence, or data enrichment space, but that cannot be confirmed from the given text. As a platform, Greip targets developers who need to integrate its API methods into applications; maturity and integration ecosystem are unknown from this snippet. To properly catalog this service, one would need to fetch the developer docs (likely at a /docs, /reference, or /api path), inspect for OpenAPI/Swagger specs, and locate API key management and pricing pages. Until then, endpoints, auth, rate limits, and pricing remain unspecified."
}

3/3 tests passed

```json
{
  "overall": 62,
  "dimensions": {
    "token_efficiency": 8.0,
    "first_try_success": 6.5,
    "response_parseability": 8.0,
    "error_clarity": 6.5,
    "doc_quality": 7.0,
    "auth_simplicity": 6.0,
    "latency": 9.5,
    "consistency": 8.0
  },
  "pricing_normalized": {
    "model": "unknown",
    "note": "No pricing details detected; likely usage-based or tiered enterprise plans. Agents cannot quote costs without user visiting site."
  },
  "issues": [
    "Pricing model is unknown — agents cannot confidently recommend or estimate cost for users.",
    "No explicit API auth scheme surfaced in checks (API key? OAuth?), raising onboarding uncertainty.",
    "robots.txt sets ai-train=no — some AI training pipelines are blocked, though ai-input=yes for live agent use.",
    "No llms-full or structured capability manifest beyond a summary llms.txt."
  ],
  "recommendations": [
    "Publish pricing tiers in a machine-readable format (JSON or llms.txt section) so agents can quote costs.",
    "Document authentication flow clearly (API key issuance, self-serve vs sales-gated) to improve first-try success.",
    "Expose an OpenAPI/JSON schema link in llms.txt for better response parseability.",
    "Add a /status page reference to boost consistency signal for agents monitoring reliability.",
    "Consider magic-link or instant API key provisioning to remove signup friction for agent-assisted onboarding."
  ]
}
```