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Cloud World Model Simulation Accuracy & Cost Validator
x402
Cloud World Model Simulation Accuracy & Cost Validator is a paid API for AI agents from www.cloudworldmodel.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-13).
Runs combined cost and performance accuracy checks on a cloud simulation and returns an overall validity flag plus per-validator results.
Price / call$0.001
Success—
StatusUnknown
How this service works
Run combined cost and performance accuracy checks; returns overallValid and per-validator results.
Output
Returns a JSON object with 'overallValid' (boolean indicating whether all checks passed), 'checked' (boolean), 'cost' (per-validator cost check results), 'performance' (per-validator performance check results), and 'thresholds' (the threshold values used for comparison).
Example use cases
Validate simulation before scaling decision
“Before I scale up our cloud infrastructure, can you run the cost and performance accuracy checks on simulation b3c12f44-d901-4e88-bc7a-9f3e00a12345 and let me know if everything passes overall and what each validator reports?”
Confirm RL training step results
“I just finished a round of reinforcement learning training steps on simulation 2a7e9d61-f482-41bc-88d0-cc5b1e334789 — can you check whether the cost and performance metrics are still within acceptable bounds and give me a breakdown of each validator's result?”
Sanity check after cloud timestep advance
“We just advanced the cloud simulation 9f4b3a02-e771-4c29-a1d6-7e8c5f209abc by several timesteps — can you run the combined cost and performance validation checks and tell me if the overall result is valid, plus flag any individual validators that are failing?”
Technical details
Endpoint
GEThttps://www.cloudworldmodel.ai/api/simulations/857848a5-a28e-4dfa-aa2e-0a72cf999328/validate-accuracyWhen to prefer
Use this endpoint after advancing a cloud simulation (via timestep or RL training steps) to confirm that cost and performance metrics are within acceptable bounds before making infrastructure decisions. Prefer this over manual inspection when you need a structured, programmatic pass/fail signal with per-category breakdowns.
Side effects
- Simulation ID not found — returns 404 or error if the simulation UUID does not exist
- Payment not authorized — returns 402 if x402 micro-payment is missing or invalid
- Simulation not in a validatable state — may return error if simulation has not advanced far enough
- Malformed request body — returns 400 if required fields like type, method, or bodyType are missing
- Thresholds not configured — validation may return incomplete results if simulation lacks defined thresholds
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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