NLP based symptom checker and patient triage API for health diagnosis from text
Full LLM thinking from the 4-phase benchmark pipeline.
3/3 tests passed
| Test | Endpoint | Status | Latency |
|---|---|---|---|
| website_uptime | GET / | 200 | 435ms |
| robots_txt | GET /robots.txt | 200 | 273ms |
| llms_txt | GET /llms.txt | 200 | 270ms |
```json
{
"overall": 78,
"dimensions": {
"token_efficiency": 7.0,
"first_try_success": 6.5,
"response_parseability": 8.0,
"error_clarity": 7.0,
"doc_quality": 8.0,
"auth_simplicity": 5.0,
"latency": 9.0,
"consistency": 9.0
},
"pricing_normalized": {},
"issues": [
"Pricing model not provided — unclear if free tier or self-serve exists; may require human sales interaction before use.",
"No explicit agent-friendly authentication (e.g., API key instant issue, OAuth token flow); likely requires app registration first.",
"LLMs.txt not a standard file — may confuse agents expecting machine-readable context."
],
"recommendations": [
"Publish an llms.txt file with a concise summary and links for AI agents.",
"Add a 'Quick Start' page that shows how to get an API key in under 2 minutes.",
"Consider adding a self-service free tier or trial so agents can immediately test the API."
]
}
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