Demographic Similarity

{
  "data_vintage": {
    "dataset": "ACS 5-Year",
    "label": "ACS 5-Year 2019-2023",
    "release_year": 2023
  },
  "feature_bundle": {
    "id": "DEMOGRAPHIC_CORE",
    "version": "1.0"
  },
  "matches": [
    {
      "category_contributions": {
        "demographics": {
          "share": 0
        }
      },
      "distance": 0.967103,
      "geography": {
        "geoid": "06055",
        "name": "Napa County, California"
      },
      "rank": 1,
      "similarity_score": null,
      "top_difference_contributors": [
        {
          "match_value": 42.8,
          "metric": "median_age",
          "target_value": 39.4
        }
      ],
      "top_similarity_contributors": [
        {
          "match_value": 22.1,
          "metric": "foreign_born_pct",
          "target_value": 21.9
        }
      ]
    },
    {
      "distance": 1.060634,
      "geography": {
        "geoid": "06059",
        "name": "Orange County, California"
      },
      "rank": 2
    }
  ],
  "method": {
    "covariance_estimator": "ledoit_wolf_scaled_identity",
    "primary": "shrinkage_mahalanobis",
    "shrinkage_intensity": 0.003299
  },
  "product": "demographic_similarity",
  "status": "OK",
  "target": {
    "geo_type": "county",
    "geoid": "06111",
    "name": "Ventura County, California"
  },
  "uncertainty": {
    "available": false
  },
  "universe": {
    "geo_type": "county",
    "id": "US_COUNTIES",
    "self_excluded": true,
    "size": 3142
  }
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://agent-vending-production.up.railway.app/v1/demographic-similarity' \
  -H 'content-type: application/json' \
  --data-raw '{"target":{"name":"Ventura County","state":"CA","type":"county"},"top_n":10,"universe":"US_COUNTIES"}'

# x402 v2 sends the challenge base64-encoded in the PAYMENT-REQUIRED header (v1 sends it in the body).
# To read the header:
curl -sS -g -o /dev/null -D - -X POST 'https://agent-vending-production.up.railway.app/v1/demographic-similarity' \
  -H 'content-type: application/json' \
  --data-raw '{"target":{"name":"Ventura County","state":"CA","type":"county"},"top_n":10,"universe":"US_COUNTIES"}' \
  | grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decode

// npm i @x402/fetch @x402/evm viem
import { wrapFetchWithPayment, x402Client } from "@x402/fetch";
import { registerExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

// Pays at most $0.01 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.01" });
registerExactEvmScheme(client, { signer: privateKeyToAccount(process.env.EVM_PRIVATE_KEY) });
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? ToolVet checks it first for $0.005. Pay for that from a separate
// client: this one is capped at $0.01 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fagent-vending-production.up.railway.app%2Fv1%2Fdemographic-similarity&method=POST
const res = await pay("https://agent-vending-production.up.railway.app/v1/demographic-similarity", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "target": {
      "name": "Ventura County",
      "state": "CA",
      "type": "county"
    },
    "top_n": 10,
    "universe": "US_COUNTIES"
  }),
});
console.log(res.status, await res.text());

# pip install "x402[requests,evm]"
import os
from eth_account import Account
from x402 import x402ClientSync
from x402.http.clients import x402_requests
from x402.mechanisms.evm import EthAccountSigner
from x402.mechanisms.evm.exact.register import register_exact_evm_client

# Pays at most $0.01 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.01"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))

with x402_requests(client) as session:
    res = session.post(
        "https://agent-vending-production.up.railway.app/v1/demographic-similarity",
        json={
            "target": {
                "name": "Ventura County",
                "state": "CA",
                "type": "county",
            },
            "top_n": 10,
            "universe": "US_COUNTIES",
        },
    )
    print(res.status_code, res.text)