Cloud World Model – Batch Chaos Test is a paid API for AI agents from www.cloudworldmodel.ai, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).
Runs multiple chaos engineering scenarios in parallel against simulated cloud infrastructure (AWS, GCP, Azure, OCI, DigitalOcean) without touching real resources.
Simulate AWS, GCP, Azure, OCI, and DigitalOcean cloud infrastructure without provisioning real resources. Built for Canvas Cloud AI learners and agents.
Returns a batch job object with a unique batch ID, job type ('batch_chaos_test'), initial status ('pending'), creation timestamp, and total number of sub-jobs queued. The agent can poll GET /chaos/batch/{id} to track progress.
POSThttps://www.cloudworldmodel.ai/api/chaos/batchChoose this endpoint when you need to run multiple chaos engineering scenarios concurrently against simulated cloud infrastructure rather than one at a time. It is ideal for pre-deployment resilience validation, CI/CD pipeline fault-tolerance gates, or educational exercises on Canvas Cloud AI where real cloud resources must not be touched. Prefer this over single-scenario endpoints when testing interactions between simultaneous failure modes.
| Field | Type | Description |
|---|---|---|
| scenarios | array | |
| webhookUrl | string | |
| simulationId | string | |
| webhookSecret | string |
{
"type": "json",
"example": {
"job": {
"id": "batch-id",
"type": "batch_chaos_test",
"status": "pending",
"createdAt": "2024-01-01T00:00:00.000Z",
"totalJobs": 2
},
"message": "Batch chaos test started. Use GET /chaos/batch/{id} to check status."
}
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