Full LLM thinking from the 4-phase benchmark pipeline.
{
"service_type": "platform",
"base_url": "https://x.ai",
"auth_method": "api_key",
"auth_config": {
"api_key_header": "Authorization",
"api_key_scheme": "Bearer"
},
"endpoints": [
{
"name": "chat_completions",
"method": "POST",
"path": "/v1/chat/completions",
"description": "Chat completions endpoint for the Grok language model, compatible with the OpenAI API schema."
},
{
"name": "models",
"method": "GET",
"path": "/v1/models",
"description": "List available Grok models."
}
],
"pricing_model": {
"type": "unknown",
"details": {
"notes": "xAI offers Grok through an API; pricing is usage-based and published on x.ai. A free tier or trial may be available; consumption-based billing is typical (per token)."
}
},
"rate_limits": {},
"capabilities": [
"Large Language Model (LLM) inference",
"Text generation and chat completions",
"OpenAI-compatible API schema",
"Multimodal support (potential, based on Grok versions)",
"Developer API access for building AI applications"
],
"raw_analysis": "xAI is an artificial intelligence company founded by Elon Musk, offering the Grok family of large language models. The platform provides an API for developers to integrate Grok's text generation capabilities into their applications. While the exact API endpoints and authentication details are not fully public in this context, xAI's API is known to be largely OpenAI-compatible, using Bearer token authentication with an API key. The service is aimed at developers, businesses, and researchers who need access to a competitive LLM. Grok is also integrated into the X (formerly Twitter) platform for consumer use. The maturity level is high, as xAI has rapidly deployed production-grade API services. Integrations often mirror those of OpenAI, enabling easy migration for users of other LLM providers. Pricing details are not specified in the provided content, but xAI typically offers usage-based pricing, with possible free credits for new users. Rate limits are not documented in the provided materials, but are likely in place to manage load and ensure fair use."
}2/3 tests passed
| Test | Endpoint | Status | Latency |
|---|---|---|---|
| website_uptime | GET / | 200 | 668ms |
| robots_txt | GET /robots.txt | 200 | 68ms |
| llms_txt | GET /llms.txt | 404 | 149ms |
{
"overall": 63,
"dimensions": {
"token_efficiency": 8.0,
"first_try_success": 6.0,
"response_parseability": 7.0,
"error_clarity": 5.0,
"doc_quality": 6.0,
"auth_simplicity": 5.0,
"latency": 7.0,
"consistency": 7.0
},
"pricing_normalized": {
"model_type": "usage-based (per token)",
"free_tier": "possibly available",
"notes": "Grok API pricing is consumption-based, published on x.ai. Exact tiers unknown; no structured pricing endpoint detected."
},
"issues": [
"No llms.txt file (404) — missing machine-readable platform summary for agents",
"Pricing details not surfaced in structured format; requires human browsing of x.ai",
"Auth flow (x.ai account / API key) not documented in the check results; onboarding path unclear",
"robots.txt disallows /tools/ but content-signals allow ai-input — mild inconsistency for agents",
"No dedicated status page or uptime indicators surfaced in checks"
],
"recommendations": [
"Publish an llms.txt with concise capability and endpoint descriptions for agent consumption",
"Expose a machine-readable pricing schema (JSON) so agents can quote costs accurately",
"Document API key provisioning steps clearly to reduce onboarding friction",
"Add a public status/uptime page to strengthen consistency perception",
"Clarify multimodal/free-tier availability to improve first-try success for new integrators"
]
}Show your live agent-readiness score on your own site. Free, no auth — it updates as your score changes.
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