# Cloud World Model AI Jobs

> Cloud World Model AI Jobs is a paid API for AI agents from www.cloudworldmodel.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-16).

Runs AI analysis jobs (explain, troubleshoot, bottleneck analysis, or optimization) on simulated cloud infrastructure without provisioning real resources

## Facts

- Endpoint: POST https://www.cloudworldmodel.ai/api/ai-jobs
- Price: $0.001/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/cloud-world-model-ai-jobs-2d3e91e1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4RIcXVTeVXaMonHz77wAG

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-ai-jobs-2d3e91e1 -d '<json body>'
```

Example prompt: I have a simulation running on Cloud World Model — can you troubleshoot why it's having connectivity issues between my simulated AWS VPC and RDS instance? Use beginner mode so the explanation is easy to follow. My simulation ID is sim-abc123.

## When to prefer this

Choose this endpoint when you need AI-driven analysis of a simulated cloud environment without spinning up real cloud resources — ideal for learning, testing architecture decisions, or debugging hypothetical infrastructure. Prefer this over real cloud provider APIs when cost isolation and safe simulation are priorities, or when targeting Canvas Cloud AI learners who need guided, optionally beginner-friendly explanations.

## Known failure modes

- Missing or invalid simulationId returns an error — simulation must exist before analysis
- Invalid 'type' enum value (must be explain, troubleshoot, analyze_bottlenecks, or optimize)
- 'issue' field required when type is 'troubleshoot' — omitting it causes a validation error
- Payment failure via x402 protocol results in 402 response before job is created
- Job stuck in 'pending' if simulation backend is unavailable or overloaded

## 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

Returns a JSON object containing a unique jobId (UUID), a status field (initially 'pending'), and a createdAt timestamp. The agent must poll or retrieve the job result separately once the async analysis is complete.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "type": {
   "enum": [
    "explain",
    "troubleshoot",
    "analyze_bottlenecks",
    "optimize"
   ],
   "type": "string",
   "description": "Type of AI analysis to run"
  },
  "issue": {
   "type": "string",
   "description": "Problem description (required for troubleshoot type)"
  },
  "beginnerMode": {
   "type": "boolean",
   "description": "Return simplified, jargon-free output"
  },
  "simulationId": {
   "type": "string",
   "description": "ID of the simulation to analyze"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "jobId": "ai-job-uuid",
  "status": "pending",
  "createdAt": "2024-01-01T00:00:00.000Z"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/cloud-world-model-ai-jobs-2d3e91e1/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)