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CloudWorldModel Autoscaling Threshold Optimizer
x402
CloudWorldModel Autoscaling Threshold Optimizer is a paid API for AI agents from www.cloudworldmodel.ai, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-29).
Analyzes traffic forecast and simulation results to recommend optimal autoscaling thresholds for cloud infrastructure.
Price / call$0.005
Success—
StatusUnknown
How this service works
Multi-cloud infrastructure simulation for cost, latency, chaos testing, and AI agent training before provisioning.
Output
Returns recommended autoscaling threshold values derived from the simulation run — including scale-up and scale-down trigger points calibrated to the provided traffic forecast and RPS patterns.
Example use cases
Example prompt
“Based on my simulation ID 'sim-20240601' and a traffic forecast peaking at 8500 RPS with an average of 2200 RPS across these hourly data points, run 150 simulation steps and tell me what autoscaling thresholds I should configure.”
Technical details
Endpoint
POSThttps://www.cloudworldmodel.ai/api/predictions/optimize-thresholds?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have an active cloud simulation and traffic forecast data and need data-driven autoscaling threshold recommendations. It is distinct from static rule-based autoscaling configs because it incorporates simulation dynamics and RL-style optimization from CloudWorldModel's hybrid engine, making it especially useful after running traffic spike or node-kill simulations to stress-test threshold candidates.
Side effects
- Invalid simulationId returns 404 or error indicating simulation not found
- Missing required trafficForecast fields (name, dataPoints) returns 400 bad request
- Malformed dataPoints array (missing timestamp or rps) causes validation error
- Payment not included or insufficient USDC triggers 402 Payment Required
- testSteps value out of accepted range may return an error or be clamped to default
- Simulation not yet advanced enough to produce meaningful threshold recommendations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| testSteps | number | Simulation steps to run (default 100) |
| simulationId | string | |
| trafficForecast | object |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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