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CloudWorldModel RL Environment Step
x402
CloudWorldModel RL Environment Step is a paid API for AI agents from www.cloudworldmodel.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).
Advances a specific reinforcement learning cloud-infrastructure simulation environment by one action step, applying cloud management actions like scaling, resource adjustment, or policy changes.
Price / call$0.001
Success—
StatusUnknown
How this service works
Advance an RL training environment by one action.
Output
Returns the updated simulation state after applying the specified action, including the new environment observation, reward signal, whether the episode is done, and any additional info from the cloud infrastructure simulation step.
Example use cases
Example prompt
“Step my cloud world model RL environment 5bc6bc9d-b407-4dfe-9126-d033a23d1d5d forward by applying a scale_out action with 60 simulated seconds per tick.”
Technical details
Endpoint
POSThttps://www.cloudworldmodel.ai/api/rl/environments/ecd44962-97c5-4021-b9d7-d8ea147d3436/stepWhen to prefer
Use this endpoint when you need single-step granular control over a cloud infrastructure RL training loop — ideal for agents that implement custom training logic, need to inspect state after each action, or want fine-grained reward shaping. Prefer the batch endpoint when throughput matters more than per-step observation.
Side effects
- Invalid or expired environment ID returns 404
- Unknown action type enum value returns 400 validation error
- tick_seconds outside 1-3600 range returns 400
- Payment not attached or insufficient USDC returns 402
- Environment already in terminal state may return error or no-op result
- Missing required 'type' field in action object returns 400
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| action | object | |
| tick_seconds | integer | Simulated seconds per step (default 60) |
Tags
x402
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