Basic

{
  "company": {
    "domain": "anthropic.com",
    "entity": {
      "match": "exact",
      "wikidata_id": "Q116758847"
    },
    "firmographics": {
      "employee_count": {
        "as_of": "2024",
        "checked_at": "2026-10-10T12:00:00.000Z",
        "confidence": "medium",
        "source": "wikipedia_infobox",
        "source_url": "https://en.wikipedia.org/wiki/Anthropic",
        "value": 1000
      },
      "founded_year": {
        "checked_at": "2026-10-10T12:00:00.000Z",
        "confidence": "high",
        "source": "wikidata",
        "source_url": "https://www.wikidata.org/wiki/Q116758847",
        "value": 2021
      },
      "hq_city": {
        "checked_at": "2026-10-10T12:00:00.000Z",
        "confidence": "high",
        "source": "wikidata",
        "source_url": "https://www.wikidata.org/wiki/Q116758847",
        "value": "San Francisco"
      },
      "hq_country": {
        "checked_at": "2026-10-10T12:00:00.000Z",
        "confidence": "high",
        "source": "wikidata",
        "source_url": "https://www.wikidata.org/wiki/Q116758847",
        "value": "US"
      },
      "industry": {
        "checked_at": "2026-10-10T12:00:00.000Z",
        "confidence": "high",
        "source": "wikidata",
        "source_url": "https://www.wikidata.org/wiki/Q116758847",
        "value": "artificial intelligence"
      },
      "linkedin_url": {
        "checked_at": "2026-10-10T12:00:00.000Z",
        "confidence": "high",
        "source": "company_website",
        "source_url": "https://www.anthropic.com/",
        "value": "https://www.linkedin.com/company/anthropicresearch"
      },
      "official_name": {
        "checked_at": "2026-10-10T12:00:00.000Z",
        "confidence": "high",
        "source": "wikidata",
        "source_url": "https://www.wikidata.org/wiki/Q116758847",
        "value": "Anthropic"
      },
      "size_range": {
        "as_of": "2024",
        "checked_at": "2026-10-10T12:00:00.000Z",
        "confidence": "medium",
        "source": "wikipedia_infobox",
        "source_url": "https://en.wikipedia.org/wiki/Anthropic",
        "value": "501-1000"
      },
      "ticker": {
        "checked_at": "2026-10-10T12:00:00.000Z",
        "confidence": null,
        "note": "no stock listing in Wikidata or SEC EDGAR (likely private)",
        "source": null,
        "source_url": null,
        "value": null
      },
      "website_domain": {
        "checked_at": "2026-10-10T12:00:00.000Z",
        "confidence": "high",
        "source": "caller_input",
        "source_url": null,
        "value": "anthropic.com"
      },
      "x_url": {
        "checked_at": "2026-10-10T12:00:00.000Z",
        "confidence": "high",
        "source": "company_website",
        "source_url": "https://www.anthropic.com/",
        "value": "https://x.com/AnthropicAI"
      }
    },
    "name": "Anthropic",
    "public_page": {
      "crawled": true,
      "description": "Anthropic is an AI safety and research company.",
      "emails_found_on_page": [],
      "phones_found_on_page": [],
      "source": "public_page",
      "status": 200,
      "title": "Anthropic",
      "url": "https://www.anthropic.com/"
    },
    "summary": "Anthropic PBC is an American artificial intelligence company...",
    "summary_source": "wikipedia",
    "wikipedia": "https://en.wikipedia.org/wiki/Anthropic"
  },
  "query": {},
  "timestamp": "2026-10-10T12:00:00.000Z",
  "tool": "research_company",
  "version": "1.9.1"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://prospect-intelligence.prospectintel.workers.dev/v1/basic' \
  -H 'content-type: application/json' \
  --data-raw '{"company":"Anthropic","domain":"anthropic.com"}'

# 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://prospect-intelligence.prospectintel.workers.dev/v1/basic' \
  -H 'content-type: application/json' \
  --data-raw '{"company":"Anthropic","domain":"anthropic.com"}' \
  | 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 $0.1 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.1" });
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 $0.1 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fprospect-intelligence.prospectintel.workers.dev%2Fv1%2Fbasic&method=POST
const res = await pay("https://prospect-intelligence.prospectintel.workers.dev/v1/basic", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "company": "Anthropic",
    "domain": "anthropic.com"
  }),
});
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 $0.1 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.1"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))

with x402_requests(client) as session:
    res = session.post(
        "https://prospect-intelligence.prospectintel.workers.dev/v1/basic",
        json={
            "company": "Anthropic",
            "domain": "anthropic.com",
        },
    )
    print(res.status_code, res.text)