See how an infrastructure change behaves before you merge
Connect a GitHub repo and Cloud World Model comments a simulation on the pull request. It models p99 latency, error rate, traffic spikes, node and zone failures and recovery, and cost. It never connects to your cloud.
- Sign in, connect a repo, and comment /cwm simulate, or the next infra PR gets a report.
- Each simulation covers how the change behaves under load and failure, including p99 latency, error rate, traffic spikes, and node or zone loss and recovery, plus cost.
- CWM never connects to your cloud. It supports AWS, Azure, GCP, Oracle Cloud (OCI), and DigitalOcean, and agents can use the same simulation over MCP or the API.
Get your first infrastructure PR report
Connect GitHub to see modeled cost, performance and resilience changes before you merge.
Connecting is free. Each PR comparison uses 10 CWM credits.
Pre-deployment and pre-change decisions for agents
Give agents and builders an environment to compare infrastructure actions using estimated cost per hour, modeled latency and error rate, and resilience scores from failure experiments.
Start a Free SimulationConnect directly through MCP
Add the hosted Streamable HTTP endpoint to any compatible MCP client. Omit an API key for the capped demo, or send your CWM API key in the x-api-key header for authenticated access.
https://www.cloudworldmodel.ai/mcp
MCP Quick Start
Infrastructure and platform teams
Review proposed architecture and scaling changes before rollout, with modeled cost, latency, errors, and resilience evidence.
Failure experiments
Use controlled, simulated failures to estimate cost, latency, errors, and resilience before deploying or changing real infrastructure. Simulated chaos informs hypotheses; it does not replace production fault injection.
Multi-Cloud Cost Analysis
Compare AWS, GCP, Azure, OCI, and DigitalOcean side-by-side with modeled cost breakdowns for any workload profile.
Measured evidence, stated limits
Our accuracy benchmark compares simulated results with an owned AWS load-test campaign at 10, 100, 500, and 1,000 requests per second. Cost is compared against the public price list; other providers use documentation references, not the same owned measurement. Scores describe this benchmark architecture, not a guarantee for every workload.
Read the benchmark evidenceTransparent pricing
Start with 1,000 free credits. Paid credit packs are available when you need more.
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