Restaurant inspection data

# Every failed inspection in Chicago, as CSV
curl "https://datascoop.io/v1/datasets/us-food-inspections/query?\
  source=Chicago&result=Fail&format=csv" \
  -H "Authorization: Bearer ds_your_key"

// # Every failed inspection in Chicago, as CSV
const res = await fetch("https://datascoop.io/v1/datasets/us-food-inspections/query?source=Chicago&result=Fail", {
  headers: { Authorization: "Bearer ds_your_key" }
});
const { rows, total, attribution } = await res.json();

# # Every failed inspection in Chicago, as CSV
import requests
r = requests.get("https://datascoop.io/v1/datasets/us-food-inspections/query",
                 params={"source":"Chicago","result":"Fail"},
                 headers={"Authorization": "Bearer ds_your_key"})
rows = r.json()["rows"]

# Claude Code (one line; other clients on /agents)
claude mcp add --transport http datascoop https://datascoop.io/mcp \
  --header "Authorization: Bearer ds_your_key"

# Your agent then calls
query_dataset({ dataset: "us-food-inspections", filters: {"source":"Chicago","result":"Fail"} })