# Cloud World Model – Simulation Optimizer

> Cloud World Model – Simulation Optimizer is a paid API for AI agents from www.cloudworldmodel.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).

Analyzes a running cloud infrastructure simulation and returns actionable optimization suggestions for AWS, GCP, Azure, OCI, or DigitalOcean setups without provisioning real resources.

## Facts

- Endpoint: POST https://www.cloudworldmodel.ai/api/simulations/%7BsimulationId%7D/optimize
- Price: $0.001/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/cloud-world-model-simulation-optimizer-fd954ac4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_csfhzddFuS0omhdnz1Jha

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability cloud-world-model-simulation-optimizer-fd954ac4 -d '<json body>'
```

Example prompt: Can you run an optimization analysis on my current Cloud World Model simulation (ID: sim-abc123) and give me beginner-friendly suggestions for improving performance?

## When to prefer this

Choose this endpoint when you need actionable, simulation-based cloud infrastructure optimization recommendations without risking real resource provisioning or incurring cloud provider costs. Ideal for learners on the Canvas Cloud AI platform, agents building cloud architecture lessons, or developers who want to pre-validate infrastructure decisions in a safe sandbox before applying them to production.

## Known failure modes

- Invalid or non-existent simulationId returns an error or empty response
- Simulation is in an incompatible state (e.g., not yet running) and cannot be optimized
- Malformed request body causes a 400-level error
- Payment failure via x402 prevents the call from completing
- Timeout if the simulation is particularly large or complex

## 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

A JSON response containing a numbered list of human-readable optimization suggestions (e.g., adding cluster nodes, enabling connection pooling, moving static assets to a CDN) tailored to the current state of the specified cloud simulation. In beginner mode, suggestions are simplified for learners.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "beginnerMode": {
   "type": "boolean",
   "description": "Return simplified optimisation suggestions"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "suggestions": "1. Add a fourth node to the cluster to distribute load. 2. Enable connection pooling on the database tier to reduce latency under peak traffic. 3. Consider moving static assets to a CDN to reduce compute load."
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/cloud-world-model-simulation-optimizer-fd954ac4/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from www.cloudworldmodel.ai](https://www.zero.xyz/host/www.cloudworldmodel.ai/llms.txt)