Site Selection

{
  "data_scope": "census_and_economy",
  "methodology": {
    "score_meaning": "Relative fit under the buyer's supplied criteria and weights."
  },
  "mode": "CANDIDATE",
  "results": [
    {
      "category_contributions": {
        "BUSINESS_ACTIVITY": 22.4185,
        "LOCAL_LABOR_MARKET": 12.0741,
        "REGIONAL_INCOME": 24.507,
        "WAGES": 0.728
      },
      "category_scores": {
        "BUSINESS_ACTIVITY": 89.67,
        "LOCAL_LABOR_MARKET": 48.3,
        "REGIONAL_INCOME": 98.03,
        "WAGES": 2.91
      },
      "close_score": false,
      "explanation": [
        "Ranked #1 under supplied criteria (SiteScore 59.73 of 100)."
      ],
      "geography": {
        "geo_type": "county",
        "geoid": "06059",
        "name": "Orange County, California"
      },
      "metrics": {
        "average_annual_pay": {
          "contribution": 0.728,
          "percentile": 97.09,
          "reference_period": "2023",
          "value": 77892
        }
      },
      "rank": 1,
      "site_score": 59.73
    }
  ],
  "scoring_reference_period": 2023,
  "site_selection_version": "2.0",
  "status": "OK"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://agent-vending-production.up.railway.app/v1/site-selection' \
  -H 'content-type: application/json' \
  --data-raw '{"criteria":[{"metric":"median_household_income","preference":"higher"},{"metric":"average_annual_pay","preference":"lower"},{"metric":"qcew_employment_growth_5y","preference":"higher"},{"metric":"laus_unemployment_rate","preference":"lower"},{"metric":"employer_establishments_per_1000_residents","preference":"higher"}],"data_scope":"census_and_economy","locations":["Ventura County, CA","Orange County, CA","San Diego County, CA"],"mode":"candidate"}'

# 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/site-selection' \
  -H 'content-type: application/json' \
  --data-raw '{"criteria":[{"metric":"median_household_income","preference":"higher"},{"metric":"average_annual_pay","preference":"lower"},{"metric":"qcew_employment_growth_5y","preference":"higher"},{"metric":"laus_unemployment_rate","preference":"lower"},{"metric":"employer_establishments_per_1000_residents","preference":"higher"}],"data_scope":"census_and_economy","locations":["Ventura County, CA","Orange County, CA","San Diego County, CA"],"mode":"candidate"}' \
  | 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%2Fsite-selection&method=POST
const res = await pay("https://agent-vending-production.up.railway.app/v1/site-selection", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "criteria": [
      {
        "metric": "median_household_income",
        "preference": "higher"
      },
      {
        "metric": "average_annual_pay",
        "preference": "lower"
      },
      {
        "metric": "qcew_employment_growth_5y",
        "preference": "higher"
      },
      {
        "metric": "laus_unemployment_rate",
        "preference": "lower"
      },
      {
        "metric": "employer_establishments_per_1000_residents",
        "preference": "higher"
      }
    ],
    "data_scope": "census_and_economy",
    "locations": [
      "Ventura County, CA",
      "Orange County, CA",
      "San Diego County, CA"
    ],
    "mode": "candidate"
  }),
});
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/site-selection",
        json={
            "criteria": [
                {
                    "metric": "median_household_income",
                    "preference": "higher",
                },
                {
                    "metric": "average_annual_pay",
                    "preference": "lower",
                },
                {
                    "metric": "qcew_employment_growth_5y",
                    "preference": "higher",
                },
                {
                    "metric": "laus_unemployment_rate",
                    "preference": "lower",
                },
                {
                    "metric": "employer_establishments_per_1000_residents",
                    "preference": "higher",
                },
            ],
            "data_scope": "census_and_economy",
            "locations": [
                "Ventura County, CA",
                "Orange County, CA",
                "San Diego County, CA",
            ],
            "mode": "candidate",
        },
    )
    print(res.status_code, res.text)