# Cloud World Model – Simulation Troubleshoot

> 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.

## Facts

- Endpoint: POST https://www.cloudworldmodel.ai/api/simulations/%7BsimulationId%7D/troubleshoot
- Price: $0.001/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/cloud-world-model-simulation-troubleshoot-963e5711
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bQC2P5ncURnvNDzzpieZk

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability cloud-world-model-simulation-troubleshoot-963e5711 -d '<json body>'
```

Example prompt: I'm seeing periodic latency spikes every 30 seconds in simulation abc-123 — can you troubleshoot it and give me beginner-friendly steps to fix it?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "issue": {
   "type": "string",
   "description": "Plain-text description of the problem to investigate"
  },
  "beginnerMode": {
   "type": "boolean",
   "description": "Return simplified troubleshooting guidance"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "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."
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/cloud-world-model-simulation-troubleshoot-963e5711/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from www.cloudworldmodel.ai](https://www.zero.xyz/host/www.cloudworldmodel.ai/llms.txt)