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Full LLM thinking from the 4-phase benchmark pipeline.
Looking at Inngest's documentation and structure, I can see this is a durable execution platform rather than a traditional REST API.
```json
{
"service_type": "platform",
"base_url": "https://inngest.com",
"auth_method": "api_key",
"auth_config": {
"header_name": "Authorization",
"key_location": "event_keys_and_signing_keys"
},
"endpoints": [],
"pricing_model": {
"type": "freemium",
"details": {
"has_free_tier": true,
"usage_based": true,
"deployment_dependent": true
}
},
"rate_limits": {
"has_built_in_controls": true,
"configurable_per_function": true
},
"capabilities": [
"durable_function_execution",
"workflow_orchestration",
"event_driven_architecture",
"step_functions",
"error_handling_and_retries",
"flow_control_and_concurrency",
"scheduled_functions_and_cron",
"realtime_execution_monitoring",
"ai_workflow_patterns",
"multi_framework_support",
"local_development_tools",
"cloud_deployment_integration",
"webhook_processing",
"batch_processing",
"human_in_the_loop_workflows",
"function_versioning",
"bulk_operations_management",
"observability_and_metrics",
"middleware_system",
"multi_environment_support"
],
"raw_analysis": "Inngest is a developer platform for building durable, reliable functions and workflows. It's designed for scenarios requiring guaranteed execution, complex workflows, and event-driven architectures. The platform provides durable execution guarantees, meaning functions can pause, wait for events, and resume reliably even across infrastructure failures. Key differentiators include built-in step functions, sophisticated error handling with retries and rollbacks, flow control features like concurrency limits and throttling, and strong AI workflow support. It targets developers building complex backend processes, workflow automation, data processing pipelines, and AI agent systems. The platform is mature with extensive documentation, multiple SDK support (Node.js, Python), and integrations with major cloud providers. Authentication uses event keys and signing keys. The service appears well-suited for agents needing reliable, long-running workflows with built-in error recovery."
}
```
3/3 tests passed
| Test | Endpoint | Status | Latency |
|---|---|---|---|
| website_uptime | GET / | 200 | 308ms |
| robots_txt | GET /robots.txt | 200 | 93ms |
| llms_txt | GET /llms.txt | 200 | 95ms |
{"multi_model": true, "models_used": ["openai", "claude_cli"], "model_scores": {"GPT-4o": {"overall": 84, "dimensions": {"token_efficiency": 8.5, "first_try_success": 8.0, "response_parseability": 9.0, "error_clarity": 8.0, "doc_quality": 8.5, "auth_simplicity": 7.0, "latency": 10.0, "consistency": 8.5}}, "Claude CLI": {"overall": 83, "dimensions": {"token_efficiency": 8.5, "first_try_success": 8.0, "response_parseability": 9.0, "error_clarity": 8.0, "doc_quality": 8.5, "auth_simplicity": 7.5, "latency": 9.0, "consistency": 8.0}}}, "averaged": true}Show your live agent-readiness score on your own site. Free, no auth — it updates as your score changes.
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