← Back to marketplace

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% uptime613ms avg

Price

from $0.0010

up to $0.0050 per request

Network

base

Category

ai

On-chain txns

860

Uptime

100%

Avg latency

613ms

Checks

83

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.