# Cloud World Model – Validate Simulation

> Cloud World Model – Validate Simulation is a paid API for AI agents from www.cloudworldmodel.ai, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).

Validates a cloud infrastructure simulation run by submitting a traffic forecast and simulation configuration for asynchronous evaluation against AWS, GCP, Azure, OCI, or DigitalOcean environments.

## Facts

- Endpoint: POST https://www.cloudworldmodel.ai/api/predictions/validate
- Price: $0.005/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-validate-simulation-62822e0c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lTixXmfxkmrAKa5y5EhLs

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-validate-simulation-62822e0c -d '<json body>'
```

Example prompt: Validate my cloud simulation (ID: sim-abc123) on Cloud World Model using a traffic forecast that averages 500 RPS with a peak of 2000 RPS, running 150 test steps — I want to see if my AWS setup can handle it without spinning up real resources.

## When to prefer this

Use this endpoint when you need to validate a cloud infrastructure simulation with a specific traffic forecast without provisioning real cloud resources. Prefer this over live cloud testing when cost, safety, or speed of iteration matters — especially for AI/RL agent training loops or educational cloud architecture exercises on Canvas Cloud.

## Known failure modes

- Missing required trafficForecast fields (name or dataPoints) returns a validation error
- Invalid simulationId returns a not-found error
- Malformed dataPoints array (missing rps or timestamp) causes a 400 Bad Request
- Insufficient USDC balance causes a 402 Payment Required error
- Service unavailability may return a 503 with no job created

## 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 job with a unique job ID, job type ('validate'), status ('pending'), and creation timestamp, along with a confirmation message that the validation job has been created and processing has started. The agent must poll or wait for job completion separately.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "testSteps": {
   "type": "number",
   "description": "Simulation steps to run (default 100)"
  },
  "simulationId": {
   "type": "string"
  },
  "trafficForecast": {
   "type": "object",
   "required": [
    "name",
    "dataPoints"
   ],
   "properties": {
    "name": {
     "type": "string"
    },
    "avgRPS": {
     "type": "number"
    },
    "peakRPS": {
     "type": "number"
    },
    "dataPoints": {
     "type": "array",
     "items": {
      "type": "object",
      "required": [
       "timestamp",
       "rps"
      ],
      "properties": {
       "rps": {
        "type": "number"
       },
       "label": {
        "type": "string"
       },
       "timestamp": {
        "type": "number"
       }
      }
     }
    },
    "description": {
     "type": "string"
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "job": {
   "id": "job-id",
   "type": "validate",
   "status": "pending",
   "createdAt": "2024-01-01T00:00:00.000Z"
  },
  "message": "Validation job created and processing started"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/cloud-world-model-validate-simulation-62822e0c/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)