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Cloud World Model – Simulation Troubleshoot
x402
Cloud World Model – Simulation Troubleshoot is a paid API for AI agents from www.cloudworldmodel.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Diagnoses problems within a running cloud infrastructure simulation and returns step-by-step troubleshooting guidance without touching real cloud resources.
Price / call$0.001
Success—
StatusUnknown
How this service works
Simulate AWS, GCP, Azure, OCI, and DigitalOcean cloud infrastructure without provisioning real resources. Built for Canvas Cloud AI learners and agents.
Output
A JSON response containing a 'guidance' field with numbered, step-by-step troubleshooting instructions tailored to the described issue. In beginner mode, the steps are simplified and more explanatory. Steps reference specific simulation entities like event logs, traffic patterns, autoscaling settings, and configuration options.
Example use cases
Debugging autoscaling cooldown issues
“My cloud simulation abc-789 keeps showing latency spikes that seem tied to autoscaling events — can you troubleshoot it and walk me through what's causing it and how to fix it?”
Beginner learner getting guided help
“I'm learning AWS on Cloud World Model and something is wrong in simulation xyz-456 — my instances keep crashing after a few minutes. Can you troubleshoot it in beginner mode so I can understand what's happening?”
Diagnosing simulated network failure
“In my Cloud World Model simulation sim-999, traffic between two simulated GCP services is being dropped intermittently. Can you investigate the issue and tell me what steps to take to resolve it?”
Technical details
Endpoint
POSThttps://www.cloudworldmodel.ai/api/simulations/%7BsimulationId%7D/troubleshootWhen to prefer
Use this endpoint when you need to diagnose a specific problem inside a named running simulation and want actionable, step-by-step remediation guidance. Prefer it over generic troubleshooting tools when the issue lives within a Cloud World Model simulation context (AWS, GCP, Azure, OCI, or DigitalOcean simulations). Especially valuable in educational settings where beginnerMode can make guidance accessible to learners.
Side effects
- Invalid or non-existent simulationId returns a 404 or error response
- Vague or empty issue description may produce generic or unhelpful guidance
- Simulation not in a running state may return an error indicating no active context to troubleshoot
- Payment failure (x402) prevents the call from completing
- Malformed request body returns a 400 validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| issue | string | Plain-text description of the problem to investigate |
| beginnerMode | boolean | Return simplified troubleshooting guidance |
Output
Schema · Response
{
"type": "json",
"example": {
"guidance": "Step 1: Check the event log for periodic scale-out events every 30 seconds — the latency spike pattern matches an autoscaling cooldown boundary. Step 2: Inspect the traffic pattern for a spike source. Step 3: Reduce the cooldown window or pre-warm additional instances."
}
}Tags
x402
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