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Cloud World Model - Inject Failure into Simulation
x402
Cloud World Model - Inject Failure into Simulation is a paid API for AI agents from www.cloudworldmodel.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-12).
Inject a specific failure event into a running cloud simulation, causing a named compute node or resource to transition to a failed state.
Price / call$0.001
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 with two top-level keys: 'event' (containing event ID, human-readable failure message, severity level such as 'warning', and the simulationId) and 'simulation' (containing the updated simulation ID and current resource list reflecting the injected failure state).
Example use cases
Test autoscaler response to node failure
“I need to verify my autoscaling policy works correctly when nodes go down. Can you inject a failure into my production simulation to take down one of the compute nodes so I can watch how the autoscaler detects it and spins up replacements?”
Chaos engineering experiment for fault tolerance
“We're running a chaos engineering test on our simulated infrastructure to validate our disaster recovery plan. Inject a failure event that takes down the primary database node in my simulation so we can see if our failover system kicks in properly.”
RL agent training under infrastructure stress
“I'm training a reinforcement learning agent to optimize cloud resource allocation under adverse conditions. Can you trigger a node failure in my Azure simulation so the agent learns how to handle infrastructure degradation and adapt its scheduling decisions?”
Technical details
Endpoint
POSThttps://www.cloudworldmodel.ai/api/simulations/%7BsimulationId%7D/inject-failureWhen to prefer
Use this endpoint when you need to deliberately introduce a specific named failure into a running cloud simulation — for example, to test how an RL agent or autoscaler responds to node failure, to run chaos engineering experiments without touching real infrastructure, or to evaluate fault tolerance policies in a controlled simulated environment. Prefer this over the 'kill random node' endpoint when you need deterministic, targeted failure injection rather than random chaos.
Side effects
- simulationId not found — returns 404 with error indicating simulation does not exist
- simulation is not in a running state — returns 400 indicating failure cannot be injected into a stopped or pending simulation
- target node already failed — may return 409 or a no-op event
- malformed request body — returns 400 with schema validation error
- payment not processed or insufficient balance — returns 402 requiring x402 payment
- rate limit exceeded — returns 429
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| resourceId | string | **Recommended** — ID of the resource to fail. Takes precedence over resourceName. Use this for reproducible, deterministic fault injection. |
| resourceName | string | **Recommended** — Human-readable name of the resource to fail (exact match preferred; unambiguous prefix accepted). Ambiguous names return 400 with a candidate list. Omit both fields for a random healthy node (non-deterministic). |
Output
Schema · Response
{
"type": "json",
"example": {
"event": {
"id": "evt-id",
"message": "Node failure injected: web-server-1 → failed",
"severity": "warning",
"simulationId": "sim-abc123"
},
"simulation": {
"id": "sim-abc123",
"resources": []
},
"healthyNodes": [
{
"id": "web-1",
"name": "web-server-1"
},
{
"id": "web-2",
"name": "web-server-2"
}
],
"previousHealth": "healthy",
"resolvedResourceId": "web-1",
"resolvedResourceName": "web-server-1"
}
}Tags
x402
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