Indonesian government Covid data per province
Full LLM thinking from the 4-phase benchmark pipeline.
0/3 tests passed
| Test | Endpoint | Status | Latency |
|---|---|---|---|
| website_uptime | GET / | None | 30213ms |
| robots_txt | GET /robots.txt | None | 30053ms |
| llms_txt | GET /llms.txt | None | 30171ms |
```json
{
"overall": 5,
"dimensions": {
"token_efficiency": 1.0,
"first_try_success": 1.0,
"response_parseability": 1.0,
"error_clarity": 1.0,
"doc_quality": 1.0,
"auth_simplicity": 1.0,
"latency": 0.0,
"consistency": 1.0
},
"pricing_normalized": {},
"issues": [
"All checks failed with timeouts (~30 seconds each), indicating the platform's website is unreachable or extremely slow.",
"No capabilities or pricing model data was provided, suggesting the platform is not properly described or accessible.",
"Zero response data captured — no security headers, no response preview, no structured content to parse."
],
"recommendations": [
"Ensure the platform's website is operational and responds within reasonable time (<5 seconds).",
"Provide clear and structured documentation (e.g., API reference, getting started guide) for agents to parse.",
"Implement a robots.txt or llms.txt to allow agent crawling and improve discoverability.",
"Define capabilities and pricing model in a machine-readable format to enable automated evaluation.",
"For future analysis, ensure the platform URL is correct and accessible from test environments."
]
}
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