Data on international sanctions, crime and politically exposed persons
Full LLM thinking from the 4-phase benchmark pipeline.
1/3 tests passed
| Test | Endpoint | Status | Latency |
|---|---|---|---|
| website_uptime | GET / | 200 | 152ms |
| robots_txt | GET /robots.txt | 404 | 142ms |
| llms_txt | GET /llms.txt | 404 | 10ms |
Prowl```json
{
"overall": 38,
"dimensions": {
"token_efficiency": 4.0,
"first_try_success": 3.0,
"response_parseability": 2.0,
"error_clarity": 3.0,
"doc_quality": 2.0,
"auth_simplicity": 5.0,
"latency": 7.0,
"consistency": 5.0
},
"pricing_normalized": {},
"issues": [
"No llms.txt file — no machine-readable documentation summary found",
"robots.txt missing (404) — blocks efficient crawling/CTF",
"No capabilities or pricing model data provided in analysis",
"No authentication details or sign-up flow information provided",
"No structured documentation found — llms.txt is critical for agents"
],
"recommendations": [
"Add /llms.txt with concise feature summary, API docs links, and usage examples",
"Implement robots.txt to explicitly allow and guide agent crawlers",
"Publish a getting-started guide with clear onboarding steps and API endpoints",
"Provide structured pricing details and feature matrix for agent reference",
"Expose API response schemas and error codes documentation"
]
}
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