DNS & WHOIS Lookup

Send up to 10 domain names and get back every DNS record type (A, AAAA, MX, CNAME, TXT, NS, PTR, SOA, SRV, CAA, NAPTR, DS, TLSA) plus the full WHOIS registration profile (registrar, dates, contacts, status, nameservers) for each one. URLs are accepted and automatically stripped down to the bare domain. Duplicate domains are quietly removed before processing. Results come back as one flat row per domain, ready to drop into a spreadsheet, database, or pipeline.

Call it in 30 seconds

// npm i x402-fetch viem
import { wrapFetchWithPayment } from "x402-fetch";
import { createWalletClient, http } from "viem";
import { privateKeyToAccount } from "viem/accounts";
import { base } from "viem/chains";

const account = privateKeyToAccount(process.env.PRIVATE_KEY); // funds USDC on Base
const wallet = createWalletClient({ account, chain: base, transport: http() });
const fetchWithPay = wrapFetchWithPayment(fetch, wallet);

// Pays the $0.01 USDC automatically on the 402, then returns the real response:
const res = await fetchWithPay("https://dns-whois-lookup.underscoredone.com/lookup", { method: "POST" });
console.log(await res.json());

# pip install x402 eth-account httpx
import os, asyncio
from eth_account import Account
from x402.clients.httpx import x402HttpxClient

account = Account.from_key(os.environ["PRIVATE_KEY"])  # funds USDC on Base

async def main():
    async with x402HttpxClient(account=account) as client:
        # x402 handles the 402 -> pay ($0.01 USDC) -> retry automatically
        r = await client.get("https://dns-whois-lookup.underscoredone.com/lookup")
        print((await r.aread()).decode())

asyncio.run(main())

# 1) An unpaid request returns HTTP 402 with the exact payment terms:
curl -i -X POST "https://dns-whois-lookup.underscoredone.com/lookup" \
  -H 'content-type: application/json' \
  -d '{"domains": ["onescales.com", "hillms.com", "underscore.com"]}'

# 2) Paying + retrying requires an x402 client that can sign the USDC
#    authorization (curl alone cannot). See the JS / Python tabs below.

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