Covid-19 data for the US
Full LLM thinking from the 4-phase benchmark pipeline.
1/3 tests passed
| Test | Endpoint | Status | Latency |
|---|---|---|---|
| website_uptime | GET / | 200 | 411ms |
| robots_txt | GET /robots.txt | 404 | 230ms |
| llms_txt | GET /llms.txt | 404 | 60ms |
{
"overall": 15,
"dimensions": {
"token_efficiency": 2.0,
"first_try_success": 3.0,
"response_parseability": 1.0,
"error_clarity": 5.0,
"doc_quality": 2.0,
"auth_simplicity": 3.0,
"latency": 8.0,
"consistency": 3.0
},
"pricing_normalized": {},
"issues": [
"No capabilities or pricing model detected; platform value is unclear.",
"No structured data formats (e.g., API docs, llms.txt, sitemap) found, making it hard for agents to parse.",
"No robots.txt (404), which suggests poor web architecture or minimal content for indexing.",
"Authentication method unknown; likely traditional email/password, not agent-friendly SSO or magic link.",
"No help documentation or getting-started guides visible in the response preview."
],
"recommendations": [
"Publish a clear API documentation or llms.txt file to help agents understand how to interact.",
"Implement SSO or magic link login to reduce friction for AI agents assisting users.",
"Provide structured pricing and capabilities metadata (e.g., JSON schema) on the landing page.",
"Add a robots.txt and a sitemap to improve discoverability and confirm site structure.",
"Enhance error messages and include a FAQ/status page for better error clarity and consistency."
]
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