UK charity register data

# Every registered charity with income over GBP 1m in Leeds postcodes, as CSV
curl "https://datascoop.io/v1/datasets/charity-commission/query?\
  status=Registered&minIncome=1000000&postcodeArea=LS&format=csv" \
  -H "Authorization: Bearer ds_your_key"

// # Every registered charity with income over GBP 1m in Leeds postcodes, as CSV
const res = await fetch("https://datascoop.io/v1/datasets/charity-commission/query?status=Registered&minIncome=1000000&postcodeArea=LS", {
  headers: { Authorization: "Bearer ds_your_key" }
});
const { rows, total, attribution } = await res.json();

# # Every registered charity with income over GBP 1m in Leeds postcodes, as CSV
import requests
r = requests.get("https://datascoop.io/v1/datasets/charity-commission/query",
                 params={"status":"Registered","minIncome":"1000000","postcodeArea":"LS"},
                 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: "charity-commission", filters: {"status":"Registered","minIncome":"1000000","postcodeArea":"LS"} })