Deploy and monitoring · by Canvas Cloud AI

Cloud World Model

Name: Cloud World Model
Author: Canvas Cloud AI

A simulator of AWS, GCP, Azure, OCI and DigitalOcean setups that an agent or developer drives through REST or MCP: build a virtual resource graph, push traffic, inject failures or scaling actions, and get back modeled cost, latency, errors and resilience without creating real cloud resources.

You can test 'what happens to cost and p95 if the database dies at peak traffic' on a model before touching a real account, and train autoscaling agents in step/reset RL environments.

APIDownloadFree tierCommercial: conditions

Open cloudworldmodel.ai ↗ agent.md

For your project

Official API: Official API · Free tier Credits per call (3 for simulation/RL steps, 5 for chaos and multi-cloud, 10 for autoscaling explanations); RL API quota 5,000 requests per hour; some read routes are public
“MCP and REST are access interfaces; x402 is payment for eligible REST requests.” cloudworldmodel.ai/llms.txt
Key: Needed
“API access requires a valid World Model key.” cloudworldmodel.ai/terms
Formats: JSON
Data download: Yes json
Price: Free tier 1,000 simulation credits each month, no card; one-time credit packs: 10,000 for $9, 100,000 for $49, 1,000,000 for $299; or pay per REST call with x402 USDC ($0.0030 or $0.0050) without an account
“Paid credits never expire. Small: 10,000 credits for $9. Medium: 100,000 credits for $49. Large: 1,000,000 credits for $299.” cloudworldmodel.ai/pricing
License: Cloud World Model Terms of Service Use of the simulation API; your configurations and outputs stay yours; stated allowed use is development, testing and AI training; the engine and pricing data are proprietary
Commercial use: Commercial use with conditions
“Your simulation configurations and outputs remain yours.” cloudworldmodel.ai/terms
Credit: Not stated
Embedding: Embedding unclear
Using the website: Free tier

Read on Cloud World Model's own pages on Oct 24, 2026 · license or terms · API docs · pricing. Check the license page before you ship.

For your agent

A request your code or agent can make (add your key):

https://www.cloudworldmodel.ai/api/scenarios

Point an MCP client at https://www.cloudworldmodel.ai/mcp (no key for demo tools, `x-api-key` for the full set); REST lives under https://www.cloudworldmodel.ai/api with the full endpoint list in llms-full.txt; agents without an account can pay per REST call via x402 (read GET /api/billing/x402/config first). Results are model estimates, not bills or measurements.
Present outputs as modeled estimates, not quotes, invoices or production measurements
Do not share API keys or try to extract the simulation logic (prohibited by the terms)
x402 calls spend real USDC; confirm with the user before enabling paid calls

llms.txt: www.cloudworldmodel.ai/llms.txt · MCP: https://www.cloudworldmodel.ai/mcp (hosted Streamable HTTP; keyless demo tools, full tool set with x-api-key header)

Paste into your agent: Read https://agentgid.com/resources/cloud-world-model/agent.md before using Cloud World Model.

Quick answers

Does Cloud World Model have an API?

Yes. Cloud World Model has an official API documented at https://www.cloudworldmodel.ai/llms-full.txt.

Does the Cloud World Model API need a key?

Yes, you need an API key. Limits: Credits per call (3 for simulation/RL steps, 5 for chaos and multi-cloud, 10 for autoscaling explanations); RL API quota 5,000 requests per hour; some read routes are public

Is Cloud World Model free?

Yes, there is a free tier: 1,000 simulation credits each month, no card; one-time credit packs: 10,000 for $9, 100,000 for $49, 1,000,000 for $299; or pay per REST call with x402 USDC ($0.0030 or $0.0050) without an account

Can I use Cloud World Model in a commercial project?

Yes, with conditions. Its terms say: "Your simulation configurations and outputs remain yours."

What you can build

A CI check that comments on infrastructure pull requests with modeled cost and latency (the vendor also ships a GitHub PR Reports app)
An RL training loop for an autoscaling policy using the create/reset/step environment API
A design-review bot that compares the same architecture across clouds before anyone provisions it

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