Watch how Cloud World Model simulates real cloud infrastructure behavior — without provisioning a single resource.
Built for AI agents and infrastructure teams who need realistic cloud simulation
Train reinforcement learning agents to optimize cloud infrastructure autonomously
Validate architecture changes and scaling thresholds before production
Run failure experiments before they become production incidents
Predict and minimize cloud spending with AI-powered simulations
Compare providers and traffic splits against cost, latency, and resilience goals
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