very excited for this release. TEEs now power seller-side payment verification for @peerxyz
no browser plugin, no mobile app, no signing in to your fintech account to prove payments as a buyer
the endgame is UX parity with stripe & centralized platforms
1/ Seller Autopilot is live on Peer.
Cash App, Venmo, PayPal, and Wise sellers can connect their accounts once and let seller-side verification handle release when a buyer pays
Zero buyer-side proving, fewer stuck transactions and higher conversion
4/ What changed:
The base proving flow verifies the buyer has sent the correct payment.
Seller Autopilot is an additional flow that verifies receipt from seller-side payment data.
TEEs make this possible without exposing any seller credential material to anyone.
3/ How it works:
1. Register encrypted session material to an attested TEE.
2. Buyer pays and submits a payment reference.
3. The enclave checks payment data against the order.
4. If it matches, an attestation is issued and verified onchain
2/ Why use Autopilot:
1. Buyers have fewer places to make mistakes.
2. More completed orders means better conversion.
3. Sellers can price that premium experience into higher spreads (up to 1-2% higher)
Same permissionless marketplace. Less friction.
1/ Seller Autopilot is live on Peer.
Cash App, Venmo, PayPal, and Wise sellers can connect their accounts once and let seller-side verification handle release when a buyer pays
Zero buyer-side proving, fewer stuck transactions and higher conversion
1/ We are deprecating the Peer extension wallet.
PeerAuth is moving toward a simpler role: minimal wallet infrastructure for private, headless onramps that developers can fully customize inside their own apps.
Just Posted My First Overview of how to provide liqudity and make yield on USDC using @peerxyz
Make High USDC Yield with PEER youtu.be/2dIpjlXJAXI?si… via @YouTube
4/ This also means teams can go fully branded (name, icon, Chrome Web Store listing)
You can build your own extension simply by implementing the same window.peer interface