The Agentic Commerce Protocol (ACP) is an open standard for agentic commerce — the rules and data structures that let AI agents complete purchases on behalf of users without redirecting them to a merchant's website. Co-developed by OpenAI and Stripe and released in September 2025, ACP is Apache 2.0 licensed and currently powers Instant Checkout in ChatGPT, giving participating merchants programmatic distribution to ChatGPT's hundreds of millions of users.
The most distinctive thing about ACP is who owns the checkout interface. In a traditional ecommerce flow, the seller owns the entire experience: the product page, the cart UI, the checkout form, the payment fields, and the order confirmation. The seller's brand surrounds every step.
In an ACP flow, that responsibility splits:
The customer never visits the seller's site to complete the purchase. They see a checkout surface inside ChatGPT, the agent and seller exchange data over the protocol, payment processes, and the order shows up in the seller's existing system as if it were a normal order.
An ACP-compatible seller exposes a RESTful HTTP interface (or an MCP server) with four endpoints:
All requests use HTTPS with Bearer authentication; webhook events sent from seller to agent (for order status updates) are HMAC-signed.
ACP's payment model relies on the SharedPaymentToken — a token issued by the user's payment provider (Stripe, primarily) that:
For sellers already using Stripe, enabling SPT support is reportedly a single-line code change in existing PaymentIntent flows. For sellers on other payment providers, ACP's payment-handler model allows custom token handling — though Stripe-issued SPTs are the dominant pattern at launch.
ACP and UCP are parallel commerce protocols at the same layer, launched four months apart by competing platforms:
The two protocols overlap in scope (both define checkout, both target programmatic agentic transactions, both keep the merchant as merchant of record). They differ in lead sponsor, payment-token model, and launch surface. Industry consolidation isn't expected near-term — merchants will likely need to support both for full agentic-commerce reach.
Shopify is in both camps. It was an early ACP adopter on the merchant side, then co-developed UCP with Google. The practical implication for Shopify merchants is that both protocols are platform-managed:
The merchant decision is rarely "which protocol" — it's how aggressively to participate in agentic surfaces overall, and how to balance agentic distribution against owned-channel investment.
ACP gives merchants distribution to ChatGPT's audience. The price is checkout-experience control. The agent renders the cart, the totals, the shipping selector. The merchant's brand surface during the most important moment of the transaction is reduced to product images, descriptions, and price — without the storefront design, the upsells, the bundle suggestions, the post-purchase email collection, or the cart-abandonment recovery flows the merchant has built over years.
For some merchants — commodity goods, low-margin items, products bought on impulse — that trade-off is favorable. For brand-led merchants whose differentiation lives in the experience, it warrants more careful consideration.
Enabling either protocol is a smaller lift than getting the underlying product data ready for it: the four checkout endpoints and SharedPaymentToken handling are largely Shopify’s problem to solve, but an agent can only complete a good checkout if the product data behind it — accurate variants, inventory, shipping rules — is exposed cleanly through Storefront APIs and checkout configuration. That data readiness work overlaps heavily with the broader question of preparing a catalog for AI-driven discovery generally, so most merchants end up doing both at once rather than treating ACP as an isolated integration.
ACP is one piece of a larger shift rather than an isolated integration decision, and merchants deciding how aggressively to build for it tend to get more out of that decision once they’ve placed it against how AI is already being used across ecommerce, from product recommendations to demand forecasting and the move toward agentic commerce.
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