Watch how Cloud World Model simulates real cloud infrastructure behavior — without provisioning a single resource.
Built for Canvas Cloud AI learners and AI agents who need realistic cloud simulation
Practice cloud architecture skills learned in Canvas Cloud AI—without real cloud bills
Train reinforcement learning agents to optimize cloud infrastructure autonomously
Validate architecture changes and run chaos experiments before production
Predict and minimize cloud spending with AI-powered simulations
Validate autoscaling thresholds against real traffic forecasts before you go live—catch bottlenecks in simulation, not in production
Network
Base (Ethereum L2)
Asset
USDC
Discovery
/api/billing/x402/config
Agent Storefront on TryPoncho
The Cloud World Model merchant page on TryPoncho lists all x402-priced endpoints, live pricing, the curated OpenAPI spec, and AgentCash integration — a single machine-readable index for autonomous agents discovering this API.
Open Agent StorefrontConnect via MCP
Use Smithery or paste the hosted HTTP URL into Claude, Cursor, Windsurf, or any MCP-compatible client — no local install required.
Build, test, and optimize cloud architectures without the risk or cost