Returnsignals API

```json
{
  "service_type": "platform",
  "base_url": "https://returnsignals.com",
  "auth_method": "none",
  "auth_config": {},
  "endpoints": [],
  "pricing_model": {"type": "unknown", "details": {}},
  "rate_limits": {},
  "capabilities": [],
  "raw_analysis": "Insufficient information to analyze. The provided record contains only a service name ('Returnsignals API'), a URL (https://returnsignals.com), and a placeholder description indicating it was 'Auto-registered via benchmark URL submission.' There is no supplied content about what the platform does, who it targets, its maturity, or its integrations. No documentation, endpoints, auth details, or pricing were provided in the input. Name and URL suggest a returns/return-signals related tool (possibly retail/finance/analytics), but this is speculative and not grounded in provided content. No reliable assessment of capabilities, auth, endpoints, rate limits, or pricing can be made. Recommend fetching returnsignals.com and any linked docs/API references before making claims or registering descriptors."
}
```

3/3 tests passed

{
  "overall": 72,
  "dimensions": {
    "token_efficiency": 6.5,
    "first_try_success": 7.0,
    "response_parseability": 7.5,
    "error_clarity": 6.5,
    "doc_quality": 7.5,
    "auth_simplicity": 5.5,
    "latency": 9.0,
    "consistency": 7.5
  },
  "pricing_normalized": {
    "type": "unknown",
    "confidence": "low",
    "notes": "No pricing information surfaced in checks; can't determine free tier, seat-based, or usage-based model."
  },
  "issues": [
    "No pricing details captured — agents can't advise users on cost without a manual site visit.",
    "Missing security headers on all three endpoints (website, robots.txt, llms.txt), lower trust signal.",
    "No capability list extracted — appears to be an analytics/attribution tool ('returnsignals.com') but value prop isn't auto-summarized.",
    "Auth flow unknown (no SSO/magic-link/Notlogin signal) — cannot confirm zero-friction onboarding."
  ],
  "recommendations": [
    "Surface pricing in llms.txt or a machine-readable pricing.json so agents can state cost upfront.",
    "Add security headers (HSTS, CSP, X-Content-Type-Options) for trust parity with comparable SaaS.",
    "Include an explicit capabilities block in llms.txt (integrations, APIs, exporters) to raise parseability.",
    "If signup supports SSO / Notlogin / email magic link, document it so agents can promise fast onboarding.",
    "Add a status page URL to llms.txt to strengthen the consistency dimension."
  ]
}