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Cloud World Model Chaos Test Runner
x402
Cloud World Model Chaos Test Runner 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).
Injects chaos failures (CPU stress, zone outages, network partitions, etc.) into a simulated cloud infrastructure environment and returns a job ID for async status polling.
Price / call$0.005
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
Returns a JSON object containing a chaos job record with a unique job ID, job type ('chaos_test'), initial status ('pending'), creation timestamp, and the associated simulationId, plus a message instructing the caller to poll GET /chaos/jobs/{id} for status updates.
Example use cases
Simulated zone outage drill
“I want to run a zone_outage chaos scenario on my Cloud World Model simulation sim-xyz789, targeting the GCP us-central1 zone for 600 seconds at 100% intensity — kick it off and give me the job ID to track progress.”
CPU stress test for SRE training
“Start a cpu_stress chaos test on simulation sim-training-01 using the pre-built cpu_stress scenario ID for 120 seconds so my team can practice incident response without touching real AWS resources.”
Multi-failure injection for resilience testing
“On my cloud simulation sim-resilience-42, inject a database_crash on aws node db-primary-1 starting at second 0 for 200 seconds at 90% intensity, and also a network_latency on azure nodes at second 60 for 150 seconds at 50% intensity — total test duration 400 seconds.”
Technical details
Endpoint
POSThttps://www.cloudworldmodel.ai/api/chaos/runWhen to prefer
Use this endpoint when you need to inject controlled, simulated cloud infrastructure failures (CPU stress, zone outages, network partitions, database crashes, etc.) into a Cloud World Model simulation without provisioning or affecting real cloud resources. Prefer this over real chaos engineering tools (e.g. AWS Fault Injection Simulator, Gremlin) when you want a safe, cost-effective, sandbox environment for training AI/RL agents, running SRE drills, or evaluating architecture resilience. Use a pre-built scenarioId for convenience or customInjections for precise multi-failure orchestration.
Side effects
- Invalid simulationId returns an error if the simulation does not exist or is not running
- Unknown scenarioId returns a not-found or validation error
- customInjections with missing required 'failureType' field cause schema validation failure
- duration outside the 10–1000 second range is rejected
- intensity values outside 0–100 are rejected
- Specifying an unsupported failureType enum value causes a 400 validation error
- Payment not included or insufficient USDC triggers a 402 Payment Required response
- Concurrent chaos tests on the same simulation may conflict depending on platform limits
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| duration | number | Test duration in seconds (default 300) |
| scenarioId | string | Pre-built chaos scenario ID (e.g. cpu_stress, zone_outage) |
| simulationId | string | |
| customInjections | array |
Output
Schema · Response
{
"type": "json",
"example": {
"job": {
"id": "job-id",
"type": "chaos_test",
"status": "pending",
"createdAt": "2024-01-01T00:00:00.000Z",
"simulationId": "sim-id"
},
"jobId": "job-id",
"message": "Chaos test started. Use GET /chaos/jobs/{id} to check status."
}
}Tags
x402
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