Build with ZettaPay.
Non-custodial crypto payments that confirm themselves. You supply public material only — a BIP-84 xpub for
Bitcoin, and an xpub or a fixed receive address for Base — and the listener derives receive addresses,
watches the chain and posts an HMAC-signed webhook when the customer pays. Bitcoin, plus USDC and USDT on
Base. Funds go straight to your wallet. Run it yourself with the open-source
@zettapay/listener, or use ZettaPay Cloud.
npm install -g @zettapay/listener, run
zettapay-listener init and start, create an
invoice with POST /invoice, verify the webhook. Free, no fees, no limits.
The same listener core, run for you as a multi-tenant service. Still non-custodial. Create an account yourself with an email, a shop name and a public xpub or address; the free plan covers 50 invoices a month.
Send the payer to the hosted checkout link returned by Cloud, or render the
qr_uri and receive address yourself and poll the invoice status.
HMAC-SHA256 over the raw body, millisecond timestamp header, stable event id for de-duplication, up to 10 delivery attempts.
Every endpoint of the self-hosted listener and of the Cloud API, with request bodies, responses, error codes and rate limits.
Machine-readable description of the listener API — import it into your HTTP client or code generator.
The payment watcher you run on your own box (systemd or Docker). Public xpub or address in, HMAC-signed webhooks out. Open source (MIT), no phone-home.
npx @zettapay/receiver listen — a local webhook receiver that checks the
signature and replay window of every delivery, for development and CI.
A Model Context Protocol server that lets an agent create and track invoices through your own listener:
create_invoice, get_invoice_status,
list_supported_assets.
Hand the setup to your coding assistant — a ready-made prompt that installs and configures the listener.
No per-transaction fee anywhere. Self-hosting is free; Cloud is a flat subscription by monthly invoice volume.
A plain-text summary of the product and API for language models. Expanded version at
/llms-full.txt.