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Neighborhood Intelligence

by Neighborhood Intelligence in Markets & finance

x402 APIPassing, checked 4 h ago

Get a machine-ready demographic, economic and housing profile for a U.S. geography, with Census uncertainty and peer benchmarks.

POST
https://agent-vending-production.up.railway.app/v1/neighborhood-intelligence
Price
$0.01
per call in USDC
Uptime
100%
last 30 days
Response time
362 ms
439 ms slowest 5%
Last check
Passed
4 h ago, next any minute now

Run a free test callHow to call it

Reliability

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How to call it

POST https://agent-vending-production.up.railway.app/v1/neighborhood-intelligence

Each call costs $0.01 in USDC on Base, paid with the request over x402.

Run a free test callOne unpaid request, the way an agent sends it. You see the payment challenge it gets back. Nothing is charged.

Example request

From the listing.

POST https://agent-vending-production.up.railway.app/v1/neighborhood-intelligence
content-type: application/json

{
  "geography": {
    "name": "91362",
    "type": "zcta"
  }
}

Parameters

ParameterTypeRequiredDescription
geographyobjectYesA U.S. geography by type plus name or GEOID. No Census table or variable IDs needed.
metricsstring or array of stringNoDefault profile (16 metrics) or a subset list

Example response

The provider's example. We can't check it without paying.

Example response, 52 lines
{
  "data_vintage": {
    "dataset": "ACS 5-Year",
    "label": "ACS 5-Year 2019-2023",
    "release_year": 2023
  },
  "geography": {
    "census_geography": "ZIP Code Tabulation Area (ZCTA5)",
    "geo_type": "zcta",
    "geoid": "91362",
    "name": "ZCTA5 91362"
  },
  "product": "neighborhood_intelligence",
  "profile": [
    {
      "estimate": 143683,
      "metric": "median_household_income",
      "percentiles": {
        "national": {
          "label": "93rd percentile among U.S. ZCTAs with 5,000+ residents",
          "percentile": 93.33
        }
      },
      "uncertainty": {
        "ci_90": {
          "lower": 133823,
          "upper": 153543
        },
        "cv": 0.0417,
        "moe_90": 9860
      },
      "unit": "usd"
    }
  ],
  "provenance": [
    {
      "dataset": "acs/acs5/profile",
      "provider": "census_acs",
      "release_year": 2023
    }
  ],
  "status": "OK",
  "summary": {
    "notable_characteristics": [
      {
        "code": "HIGH_RELATIVE_TO_US_PEERS",
        "metric": "median_household_income",
        "percentile": 93.33
      }
    ]
  }
}

Call it from code

The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.01.

curl: see the payment challenge
# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://agent-vending-production.up.railway.app/v1/neighborhood-intelligence' \
  -H 'content-type: application/json' \
  --data-raw '{"geography":{"name":"91362","type":"zcta"}}'

# 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/neighborhood-intelligence' \
  -H 'content-type: application/json' \
  --data-raw '{"geography":{"name":"91362","type":"zcta"}}' \
  | grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decode
JavaScript: pay and call
// 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%2Fneighborhood-intelligence&method=POST
const res = await pay("https://agent-vending-production.up.railway.app/v1/neighborhood-intelligence", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "geography": {
      "name": "91362",
      "type": "zcta"
    }
  }),
});
console.log(res.status, await res.text());
Python: pay and call
# 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/neighborhood-intelligence",
        json={
            "geography": {
                "name": "91362",
                "type": "zcta",
            },
        },
    )
    print(res.status_code, res.text)

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