# Introduction This API allows resellers to manage their resources in a simple, programmatic way using HTTP requests. # Conventions ## Requests The API supports different methods depending on the
Full LLM thinking from the 4-phase benchmark pipeline.
{
"service_type": "platform",
"base_url": "https://combell.com",
"auth_method": "api_key",
"auth_config": {
"header": "Authorization",
"scheme": "Bearer"
},
"endpoints": [],
"pricing_model": {
"type": "unknown",
"details": {}
},
"rate_limits": {},
"capabilities": ["reseller management", "programmatic resource management", "HTTP API access"],
"raw_analysis": "Combell is a Belgian web hosting and domain registrar company. The provided URL is their main website, which includes a public API for resellers as described in the attached description. The description states that the API allows resellers to manage their resources programmatically via HTTP requests. However, the description is incomplete as it cuts off mid-sentence under 'Conventions' and lacks details about endpoints, authentication, pricing, and rate limits. Based on the domain, Combell is a mature hosting provider, so the API is likely used for managing hosting services, domains, and related resources. The analysis indicates the service is a platform focusing on reseller management, primarily targeting resellers or partners. No concrete integration details are available from the snippet. Since the API is public but requires reseller context, authentication is likely via API keys or OAuth. More research is needed to fill in the actual endpoint structure, pricing model, and rate limits. The base URL is the homepage, but the API may be hosted under a subpath such as /api. This assessment is based on general knowledge of hosting providers and the provided description fragment."
}2/3 tests passed
| Test | Endpoint | Status | Latency |
|---|---|---|---|
| website_uptime | GET / | 200 | 914ms |
| robots_txt | GET /robots.txt | 200 | 235ms |
| llms_txt | GET /llms.txt | 404 | 3567ms |
```json
{
"overall": 42,
"dimensions": {
"token_efficiency": 4.0,
"first_try_success": 4.0,
"response_parseability": 5.0,
"error_clarity": 3.0,
"doc_quality": 3.5,
"auth_simplicity": 3.0,
"latency": 5.0,
"consistency": 5.0
},
"pricing_normalized": {
"type": "unknown",
"notes": "Pricing model not discoverable from surface checks. Likely tailored for resellers; requires deeper research or login."
},
"issues": [
"No llms.txt file (404) — platform not optimized for AI agents to discover capabilities or documentation",
"Pricing model is unknown from public pages; unclear if agent can quote or compare products",
"Website latency on llms.txt request was 3567ms (slow for an API-focused platform)",
"No obvious machine-readable API documentation or OpenAPI spec surfaced in first checks",
"Auth is likely traditional (username/password or API key setup) — not instant onboarding for agents",
"Dutch-first website (lang=nl) may create language friction for English-first agents/users",
"Robots.txt lacks explicit ML-agent directives (no ChatGPT/CCBot/GPTBot rules visible)"
],
"recommendations": [
"Add llms.txt with clear capability summary, API docs, pricing, and onboarding instructions for AI agents",
"Publish OpenAPI/Swagger spec publicly and link from robots.txt or a /docs endpoint",
"Create an English 'AI agent' get-started page with API key provisioning flow details and code examples",
"Clarify pricing model in machine-readable format (JSON-LD) for agent-side processing",
"Reduce response latency for documentation/API discovery endpoints to under 1 second",
"Expose a public status page API or health endpoint for agents to check reliability before recommending",
"Document error codes and rate limits explicitly in help center with structured examples"
]
}
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</a>
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