Cloud World Model Multi-Cloud Deployment Explorer is a paid API for AI agents from www.cloudworldmodel.ai, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).
Evaluates and compares equivalent workload deployments across AWS, Azure, GCP, OCI, and DigitalOcean with cost, latency, and vendor lock-in scoring.
Simulate AWS, GCP, Azure, OCI, and DigitalOcean cloud infrastructure without provisioning real resources. Built for Canvas Cloud AI learners and agents.
Returns a ranked comparison of equivalent deployments across AWS, Azure, GCP, OCI, and DigitalOcean, including cost estimates per hour, latency scores, vendor lock-in assessments, and region-specific recommendations tailored to the workload profile and optimization weights provided.
POSThttps://www.cloudworldmodel.ai/api/multi-cloud/exploreChoose this endpoint when you need a multi-cloud side-by-side comparison factoring in compute, database, storage, and traffic simultaneously with customizable cost/latency/lock-in tradeoff weights. Prefer it over single-provider pricing calculators when migrating workloads, doing vendor evaluation, or optimizing infrastructure spend across AWS, Azure, GCP, OCI, and DigitalOcean in one call.
| Field | Type | Description |
|---|---|---|
| beginnerMode | boolean | |
| errorBudgetPct | number | |
| maxCostPerHour | number | |
| workloadProfile | object | |
| optimizationWeights | object |
{
"type": "json",
"example": {
"job": {
"id": "job-id",
"type": "multi_cloud_exploration",
"status": "pending",
"createdAt": "2024-01-01T00:00:00.000Z"
},
"message": "Multi-cloud exploration started. Use GET /multi-cloud/jobs/{id} to check status."
}
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