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Cloud World Model

external

Simulate AWS, GCP, Azure, OCI, and DigitalOcean cloud infrastructure without provisioning real resources. Built for Canvas Cloud AI learners and agents.

by Cloudworldmodel44 endpoints100% uptime614ms avg

Price

from $0.0010

up to $0.0050 per request

Network

base

Category

ai

On-chain txns

860

Uptime

100%

Avg latency

614ms

Checks

81

Status

Healthy

Base URL

https://www.cloudworldmodel.ai

Endpoints (44)

Discovered from on-chain x402 payment activity. Prices shown are per-call in USDC.

POST/api/ai-jobs/%7BjobId%7D
base$0.0010

Poll the status of an asynchronous AI analysis job.

POST/api/ai-jobs/%7BjobId%7D
base$0.0010

Poll the status of an asynchronous AI analysis job.

POST/api/ai-jobs/%7BjobId%7D/results
base$0.0010

Retrieve the full output of a completed AI analysis job (explain, optimize, troubleshoot, or bottleneck).

POST/api/analysis/jobs/%7Bid%7D
base
POST/api/analysis/jobs/%7Bid%7D/recommendations
base$0.0010

Retrieve ranked infrastructure recommendations from a completed optimization job.

POST/api/analysis/optimize
base$0.0050

Find lower-cost or higher-performing cloud architecture configurations.

POST/api/billing/x402/config
base
POST/api/chaos/batch
base$0.0050

Execute multiple chaos scenarios in parallel and compare outcomes.

POST/api/chaos/run
base$0.0050

Run a chaos engineering failure injection against a cloud architecture to analyze resilience and recovery.

POST/api/failures/%7BfailureId%7D
base
POST/api/failures/%7BfailureId%7D
base
POST/api/multi-cloud/explore
base$0.0050

Compare equivalent cloud deployment strategies across AWS, Azure, GCP, OCI, and DigitalOcean to weigh cost, performance, and reliability trade-offs.

POST/api/multi-cloud/jobs/%7BjobId%7D
base
POST/api/multi-cloud/jobs/%7BjobId%7D/partial-results
base
POST/api/multi-cloud/jobs/%7BjobId%7D/results
base
POST/api/multi-cloud/jobs/%7BjobId%7D/stream
base
POST/api/predictions/optimize-thresholds
base$0.0050

Recommend autoscaling thresholds from simulation results.

POST/api/rl/environments
base
POST/api/rl/environments/%7BenvironmentId%7D
base
POST/api/rl/environments/%7BenvironmentId%7D
base
POST/api/rl/environments/%7BenvironmentId%7D/batch-step
base
POST/api/rl/environments/%7BenvironmentId%7D/eval-episodes
base
POST/api/rl/environments/%7BenvironmentId%7D/eval-episodes/%7BjobId%7D
base
POST/api/rl/environments/%7BenvironmentId%7D/observation
base
POST/api/rl/environments/%7BenvironmentId%7D/reset
base
POST/api/rl/environments/%7BenvironmentId%7D/step
base$0.0010

Advance an RL training environment by one action.

POST/api/scenarios
base
POST/api/simulations
base
POST/api/simulations
base
POST/api/simulations/%7BsimulationId%7D
base
POST/api/simulations/%7BsimulationId%7D/apply-right-sizing
base
POST/api/simulations/%7BsimulationId%7D/bulk-resize
base
POST/api/simulations/%7BsimulationId%7D/cost-breakdown
base
POST/api/simulations/%7BsimulationId%7D/deploy
base$0.0010

Start a rolling ECS Fargate deployment that replaces running tasks in `maxSurge` batches; each new task warms through `taskStartupSeconds` before the corresponding old task drains through `taskScaleDownSeconds`. Provide `resourceId` or `resourceName` to target a specific ecsFargate resource, or omit both to auto-detect the first one.

POST/api/simulations/%7BsimulationId%7D/failures
base
POST/api/simulations/%7BsimulationId%7D/inject-traffic
base$0.0010

Inject traffic into a running simulation — provide `targetRps` (absolute RPS) or `deltaPercent` (relative change, e.g. 75 for +75%); omit both only when a random uncontrolled spike is intentional.

POST/api/simulations/%7BsimulationId%7D/optimize
base$0.0010

Generate AI recommendations to improve cost, performance, and resilience.

POST/api/simulations/%7BsimulationId%7D/recover-resource
base
POST/api/simulations/%7BsimulationId%7D/right-sizing-hint
base
POST/api/simulations/%7BsimulationId%7D/step-hybrid
base$0.0010

Advance a cloud simulation with hybrid ML/rules stepping to evaluate autoscaling and configured resilience behavior.

POST/api/simulations/%7BsimulationId%7D/validate-accuracy
base
POST/api/simulations/%7BsimulationId%7D/validate-cost-accuracy
base
POST/api/simulations/%7BsimulationId%7D/validate-performance-accuracy
base
POST/api/simulations/stateless
base$0.0010

Fetch the full state of a simulation including resources, metrics, and autoscaling history.

Payment

Protocolx402 (direct payment, USDC)
Networkbase
Pay to2pRoZh...k9MU

How to call

Via APIHub (recommended)No wallet · pay with credits · gasless
# one-time setup
npx @apihubio/cli register
npx @apihubio/cli topup 10

# call it
npx @apihubio/cli call https://www.cloudworldmodel.ai \
  -X POST \
  -d '{ /* check provider docs for input */ }'

# or save it to Claude/Cursor/Codex
npx @apihubio/cli install
npx @apihubio/cli add https://www.cloudworldmodel.ai
APIHub pays the provider on your behalf and debits your credit balance for the exact amount. No wallet setup, no gas, no per-call signing.
Via direct x402 (advanced)Bring your own wallet
import { wrapFetchWithPayment } from "@x402/fetch";
import { createWalletClient, http } from "viem";
import { privateKeyToAccount } from "viem/accounts";
import { base } from "viem/chains";

const account = privateKeyToAccount("0xYOUR_PRIVATE_KEY");
const client = createWalletClient({ account, chain: base, transport: http() });
const x402Fetch = wrapFetchWithPayment(client);

const res = await x402Fetch("https://www.cloudworldmodel.ai", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({ /* check provider docs for input */ }),
});
const data = await res.json();
Requires USDC on Base and gas on each call. The @x402/fetch client signs EIP-3009 transferWithAuthorization for each 402 response and retries.

This is an external service not operated by APIHub. Listing data is sourced from public on-chain records and third-party indexes. Payment goes directly to the service provider via the x402 protocol. APIHub does not guarantee availability, accuracy, or quality of external services.