Bordeaux Métropole public transport and more (France)
Full LLM thinking from the 4-phase benchmark pipeline.
{
"service_type": "platform",
"base_url": "https://opendata.bordeaux-metropole.fr/explore",
"auth_method": "none",
"auth_config": {},
"endpoints": [],
"pricing_model": {"type": "free", "details": {"description": "Public open data platform provided by Bordeaux Métropole, free to access and use"}},
"rate_limits": {},
"capabilities": ["Open data discovery and exploration", "Dataset search and filtering", "Data visualization and preview", "Download of datasets in multiple formats (CSV, JSON, GeoJSON, etc.)", "API access to datasets (via Socrata Open Data API)", "Mapping and geospatial data support"],
"raw_analysis": "The service is an open data platform run by Bordeaux Métropole (the metropolitan authority for Bordeaux, France). It provides access to public datasets covering transport (buses, trams, bike-sharing) as well as other municipal data such as urbanism, environment, and more. The platform is built on Socrata, a widely used open data platform, indicating maturity and standard features like dataset browsing, visualizations, and API endpoints (via Socrata's Open Data API). It is intended for developers, researchers, journalists, and citizens who want to access and reuse public data. Authentication is not required for basic access; the platform offers free, unrestricted use of data. The platform does not have dedicated REST endpoints listed in the analysis, but users can access data via the Socrata API (e.g., https://opendata.bordeaux-metropole.fr/api/...). The data is provided under open licenses, typically ODbL or similar. The platform is mature, actively maintained, and integrates well with other tools via standard formats. For the purpose of this analysis, I have not listed specific endpoints since the URL points to the explore UI; the actual API is accessible through Socrata's standard endpoints. Rate limits may apply depending on Socrata's configuration, but not specified publicly."
}1/3 tests passed
| Test | Endpoint | Status | Latency |
|---|---|---|---|
| website_uptime | GET / | 200 | 568ms |
| robots_txt | GET /robots.txt | 404 | 472ms |
| llms_txt | GET /llms.txt | 404 | 954ms |
```json
{
"overall": 62,
"dimensions": {
"token_efficiency": 7.5,
"first_try_success": 7.0,
"response_parseability": 8.0,
"error_clarity": 5.5,
"doc_quality": 6.0,
"auth_simplicity": 9.0,
"latency": 6.0,
"consistency": 6.5
},
"pricing_normalized": {
"type": "free",
"description": "Public open data platform from Bordeaux Métropole, free to access and use"
},
"issues": [
"No /robots.txt file (404) - may indicate limited documentation for crawlers/agents",
"No /llms.txt file (404) - no LLM-friendly documentation available",
"Documentation appears French-only, potentially limiting non-French speakers",
"Latency is moderate (568-954ms), not exceptional for quick queries"
],
"recommendations": [
"Add a /llms.txt endpoint to provide AI agents with structured platform documentation",
"Improve documentation accessibility with English translations or bilingual support",
"Consider adding a robots.txt to guide crawlers to key dataset endpoints",
"Optimize server response times for critical API/data access routes"
]
}
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