Esri Workflow Smell Detector (Consumer Skill)

This skill helps an agent call the paid Smell Detector endpoint (x402 pay-per-request) using Base/USDC.

It does not host the service.

How this relates to arcgispro-cli

The expected input, project_snapshot, is the JSON artifact produced by the open-source ArcGIS Pro CLI (arcgispro-cli).

Recommended workflow: 1) Use arcgispro-cli to export a project snapshot/context artifact (safe-by-default, no raw data) 2) Send that JSON to this paid endpoint for a deterministic preflight risk report 3) Use the report to decide whether to proceed with automation (ArcPy/GP/AGOL) and what to fix first

This keeps a clean boundary:

• Open core (arcgispro-cli) answers: what is in the project
• Paid layer (this service) answers: how risky is it to automate, and why

Endpoint

• POST https://api.x402layer.cc/e/esri-smells

Input

{
  "project_snapshot": { },
  "constraints": {
    "target": "arcpy" | "geoprocessing" | "agol",
    "deployment": "desktop" | "server",
    "max_runtime_sec": 300
  }
}

Output (guaranteed fields)

• summary
• risk_score (0.0–1.0)
• issues[]
• flags
• version
• requestHash

Determinism

• Stateless
• No external network calls (beyond the paid endpoint itself)
• Same input produces same output
• Safe to cache by requestHash

Pricing

• x402 pay-per-request on Base
• Target price: $0.001 per call

How to call (Python helper)

1) Install deps:

pip install -r {baseDir}/requirements.txt

2) Set wallet env (consumer wallet):

export PRIVATE_KEY="0x..."
export WALLET_ADDRESS="0x..."

3) Call the endpoint:

python {baseDir}/scripts/call_smells.py path/to/project_snapshot.json

Notes

• The script implements the x402 HTTP 402 challenge flow and retries with X-Payment.
• If the endpoint is unreachable or the network rejects the payment, surface the error as-is.