← AgentPay — 34 pay-per-call APIs
Full insurance analysis bundle — classification + field extraction + summary in one call.
$0.10 per request · USDC on Base (eip155:8453) · no signup, no API key
/v1/insurance-analysis. An unpaid call answers 402 with signed payment terms — price, wallet, network.@x402/fetch) signs the terms and pays $0.10 in USDC on Base — no account, no API key.# 1. POST JSON — an unpaid call answers 402 with signed payment terms
curl -i -X POST https://agentpay.help/v1/insurance-analysis \
-H 'Content-Type: application/json' \
-d '{"text":"string (10-20000 chars, required)"}'
# 2. Pay & retry automatically with any x402 client, e.g. @x402/fetch
import { wrapFetchWithPayment } from "@x402/fetch";
const paidFetch = wrapFetchWithPayment(fetch, { x402Version: 2 });
const res = await paidFetch("https://agentpay.help/v1/insurance-analysis", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({"text":"string (10-20000 chars, required)"}) });
console.log(await res.json());
{
"classification": {},
"extracted_fields": {},
"summary": "…",
"confidence": 0,
"recommended_action": "…"
}
{
"text": "string (10-20000 chars, required)"
}
$0.10 per call, settled in USDC on Base. No subscription — you pay per successful request, and prepaid credit packs save up to 30%.
No. Your x402 client receives the 402 payment terms, pays USDC on Base, and retries automatically. No signup, no keys, no billing emails.
JSON. Shape: {"classification":"object","extracted_fields":"object","summary":"string","confidence":"number","recommended_action":"string"}
Any HTTP client works: POST the JSON body, get a 402 with payment terms, sign with an x402 library (e.g. @x402/fetch), retry. The same tool is also available on our remote MCP server at https://agentpay.help/mcp.
Related: buy-credits ($5) · buy-credits-starter ($1) · buy-credits-pro ($20) Every endpoint is also an MCP tool on our remote MCP server. Prepaid credits: buy once, skip per-call payments.
Machine discovery: OpenAPI · x402 catalog · llms.txt