
Cloud World Model
Simulate the cloud without the cloud. Cloud World Model is an MCP server that lets AI agents simulate AWS, Azure, GCP, and OCI cloud infrastructure without pr…
What it does
The specific capability behind this listing, and where to get it.
Simulate the cloud without the cloud. Cloud World Model is an MCP server that lets AI agents simulate AWS, Azure, GCP, and OCI cloud infrastructure without provisioning real cloud resources. Test architectures, traffic, failures, and performance before deployment. Create simulations from built-in scenarios, step through infrastructure behavior, inject traffic, inspect system metrics, and explore cloud architectures without cloud costs. Start instantly with six anonymous demo tools, or authenticate with an API key to unlock the full Cloud World Model tool set, including optimization, reinforcement learning, prediction, chaos engineering, and multi-cloud capabilities. Features * Simulate AWS, Azure, GCP, and OCI infrastructure * Create simulations from built-in scenarios * Step simulations and observe infrastructure behavior * Inject traffic into running simulations * Inspect simulation metrics and system state * Explore cloud architectures without cloud costs No cloud account requi
Official Cloud World Model links
Pricing & plans
Observed public pricing for Cloud World Model, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$1 /call
This plan sits close to the market.
No monthly-comparable cohort to benchmark this plan against yet.
Why Agentery reaches that view
price_benchmarkNot monthly-comparable.
get_agent_profile · plan historyper call observed 2026-07-28.
pricing recommendationPercentile unavailable for this basis.
confidenceSource page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is Cloud World Model good value?
How its price compares with genuinely comparable providers.
Not enough evidence yet to call it good — or poor — value.
Too few comparable providers at the same buyer tier and billing unit to benchmark this price honestly.
Check capability before deciding
Compare capability, compatibility and operational cost against the few observed peers — Agentery keeps the price status explicit and never invents a verdict.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "cloud_world_model",
"name": "Cloud World Model",
"url": "https://www.cloudworldmodel.ai",
"logo": "https://agentery.com/logos/CP-B2JV62-128.png",
"niche": null,
"category": null,
"short_summary": "Simulate the cloud without the cloud.\n\nCloud World Model is an MCP server that lets AI agents simulate AWS, Azure, GCP, and OCI cloud infrastructure without pr…",
"task_performed": "Simulate the cloud without the cloud.\n\nCloud World Model is an MCP server that lets AI agents simulate AWS, Azure, GCP, and OCI cloud infrastructure without provisioning real cloud resources. Test architectures, traffic, failures, and performance before deployment.\n\nCreate simulations from built-in scenarios, step through infrastructure behavior, inject traffic, inspect system metrics, and explore cloud architectures without cloud costs. Start instantly with six anonymous demo tools, or authenticate with an API key to unlock the full Cloud World Model tool set, including optimization, reinforcement learning, prediction, chaos engineering, and multi-cloud capabilities.\n\nFeatures\n\n* Simulate AWS, Azure, GCP, and OCI infrastructure\n* Create simulations from built-in scenarios\n* Step simulations and observe infrastructure behavior\n* Inject traffic into running simulations\n* Inspect simulation metrics and system state\n* Explore cloud architectures without cloud costs\n\nNo cloud account requi",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP",
"AWS",
"Azure"
],
"protocols_or_interfaces": [
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],
"industry_fit": [
"developer tools"
],
"autonomy_level": "workflow automation",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "freemium",
"currency": "USD",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free tier + paid plans (price not published)",
"summary": "Cloud World Model offers a free 1,000-credit monthly tier, one-time credit packs from $9 to $299, and usage-based credit charges for simulation operations.",
"confidence": "high",
"source_url": "https://www.cloudworldmodel.ai/pricing",
"checked_at": "2026-07-28T05:24:12.403Z",
"amount": null,
"display": null,
"plans": [
{
"name": "Free",
"price": "$0 per month",
"period": "month",
"persona": "free",
"highlights": [
"1,000 credits",
"Auto-refreshes every 30 days",
"No card required"
],
"price_annual": null
},
{
"name": "Small",
"price": "$9 one-time",
"period": "one-time",
"persona": "individual",
"highlights": [
"10,000 credits",
"Paid credits never expire"
],
"price_annual": null
},
{
"name": "Medium",
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"period": "one-time",
"persona": "pro",
"highlights": [
"100,000 credits",
"Paid credits never expire"
],
"price_annual": null
},
{
"name": "Large",
"price": "$299 one-time",
"period": "one-time",
"persona": "team_sme",
"highlights": [
"1,000,000 credits",
"Paid credits never expire"
],
"price_annual": null
},
{
"name": "Simulation step",
"price": "1 credit per call",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Run one step of a cloud simulation"
],
"price_annual": null
},
{
"name": "RL episode step",
"price": "1 credit per call",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Single action in a reinforcement learning episode"
],
"price_annual": null
},
{
"name": "Chaos job",
"price": "5 credits per call",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Inject a failure scenario and evaluate resilience"
],
"price_annual": null
},
{
"name": "Multi-cloud strategy job",
"price": "5 credits per call",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Generate and score multi-cloud architecture variants"
],
"price_annual": null
},
{
"name": "AI explanation",
"price": "10 credits per call",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"GPT-powered analysis, bottleneck insight, or optimization tip"
],
"price_annual": null
},
{
"name": "Status / read endpoints",
"price": "Free",
"usage": true,
"period": "usage",
"persona": "other",
"highlights": [
"Fetch job status, metrics, or list resources"
],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://www.cloudworldmodel.ai"
],
"last_checked": "2026-07-28",
"how_to_connect": {
"website": "https://www.cloudworldmodel.ai",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": false,
"alive": null,
"endpoint_kind": null,
"latency_ms": null,
"uptime_7d": null,
"checked_at": null,
"consecutive_failures": 0,
"status": "unknown"
},
"price_extras": {
"free_tier": {
"amount": 1000,
"unit": "credits",
"per": "total",
"raw": "1,000 credits",
"plan": "Free"
},
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}