Four Layers, One Foundation: How ACP, UCP, AP2 and Stripe Structure Agentic Commerce Today

Published on November 2, 2026

ACP, UCP, AP2 and Stripe together form a stack of four layers. For a year, every protocol has been growing towards the catalog, and that's the one layer none of them handles for you.

The agentic commerce protocol stack: payment, identity, checkout and catalog, with ACP, UCP, AP2 and Stripe per layer

A week ago, we described what AI agents check in product data before they recommend anything. Today we go one level deeper, into the technology underneath. Anyone talking about agentic commerce in autumn 2026 mostly hears acronyms: ACP, UCP, AP2, MCP, SPT, TAP, x402. And usually the question of which protocol to bet on.

That's the wrong question. The protocols compete less than it looks. They form a stack of four layers that interlock, and for a year now they have all been growing in the same direction: downwards, towards the catalog.

If you want to understand where agentic commerce is heading, don't ask which protocol wins. Ask which layer none of the protocols will handle for you.

Not one protocol, but a stack

A purchase made by an AI agent consists of four tasks. Each now has its own standards:

  1. Catalog and discovery: Which products exist, in which variants, at what price, with how much stock? This is where product feeds live, along with ACP's feed API, UCP's Catalog capability and Stripe's catalog feed.
  2. Checkout and session: Building a cart, choosing shipping, calculating tax, completing the order, reporting status. ACP and UCP both define checkout interfaces for this.
  3. Identity and trust: Who is the agent, is it really acting for the customer, and does the customer get their member pricing? That's covered by identity linking via OAuth 2.0, Visa's Trusted Agent Protocol and Mastercard Agent Pay.
  4. Payment and mandate: How does an agent pay without seeing card details, and how does it prove the customer agreed? This is where Stripe's Shared Payment Tokens and Google's Agent Payments Protocol AP2 come in.

Running across all four is the transport layer. Both commerce protocols can be called through classic REST interfaces and now also through the Model Context Protocol (MCP), which AI assistants use to call tools. UCP additionally supports Google's Agent2Agent protocol (A2A).

ACP: from Instant Checkout to a toolkit

OpenAI and Stripe introduced the Agentic Commerce Protocol on September 29, 2025, together with buying directly in ChatGPT. It's licensed under Apache 2.0, still officially labeled "beta", and governed by OpenAI and Stripe as founding maintainers. Stripe's documentation now also names Meta as a co-developer.

The version list shows how fast ACP moves. Five releases in seven months:

  • 2025-09-29: initial release with checkout and delegated payment
  • 2025-12-12: fulfillment enhancements
  • 2026-01-16: capability negotiation, so agent and shop can agree on what each supports
  • 2026-01-30: extensions, discounts and payment handlers
  • 2026-04-17: cart, feed, orders, authentication and MCP support

The current version has five building blocks: agentic checkout (create, update, complete), cart and feed, delegated payment via payment tokens, delegated authentication via OAuth 2.0, and order updates via webhooks.

The order of events is telling. ACP started with checkout. In March 2026, OpenAI scaled back buying directly in the chat: merchants use their own checkout again, and ChatGPT focuses on product discovery. One month later, the feed became its own interface in the spec. The protocol moved from payment to catalog, not the other way round.

UCP: Google's protocol for the whole purchase

Google introduced the Universal Commerce Protocol on January 11, 2026, developed with Shopify, Etsy, Wayfair, Target and Walmart. The project site now also lists Amazon, Microsoft, Meta, Salesforce and Stripe as co-developers, with Visa, Mastercard, Adyen and PayPal among its endorsers. UCP is also licensed under Apache 2.0.

UCP is broader than ACP and organized into capabilities that a merchant can switch on one by one:

  • Catalog: search, browsing and retrieval of products with variants, prices and stock in real time
  • Cart: multi-item carts, handed to the shop or completed in place
  • Checkout: sessions covering pricing, tax and shipping
  • Identity Linking: linking the customer account via OAuth 2.0 so member pricing and loyalty benefits apply inside the agent too
  • Order: status, tracking and returns after the purchase

Cart, Catalog and Identity Linking arrived with the March 19, 2026 update, alongside simpler onboarding through Google Merchant Center. The largest release so far shipped on August 25, 2026. It adds support for more verticals such as grocery, location search with opening hours, 3DS2 authentication, installments and split payments, a loyalty extension, and several breaking changes that existing integrations need to adapt to. In September, a Payments Technical Council with eight members followed, including Google, Shopify and Stripe.

On October 15, 2026, Google built on this and launched the Universal Cart in the US: a cart in Google Search and the Gemini app that collects products from several retailers, tracks price drops and draws on a Shopping Graph of more than 60 billion product listings. Payment runs through UCP and Google Pay, or the shopper sends the items to the merchant's own cart. Either way, the merchant remains the seller.

Stripe: the switchboard between the camps

Stripe is the only major player sitting in both camps. It co-founded ACP, it's a co-developer of UCP, and it has secured a role that's more practical for merchants than any protocol decision: one integration that serves several agents.

The building blocks at a glance:

  • Agentic Commerce Suite (since December 2025): merchants integrate once and become sellable across several AI platforms. At launch, Stripe named brands such as Coach, Kate Spade and URBN, plus shop platforms including Wix, Squarespace, WooCommerce, commercetools and BigCommerce.
  • Shared Payment Tokens (SPT): payment credentials with a limited scope. The agent passes on a token, the merchant charges it, and neither sees the actual card details. Since April 2026, these tokens carry agent details and usage limits. Since March 2026, they also work with Visa's and Mastercard's agentic tokens.
  • Stripe Sessions 2026 (April 29): catalog upload and agent access controls directly in the Stripe Dashboard, a partnership with Google for purchases in AI Mode and the Gemini app via UCP, checkout inside Facebook ads with Meta, and the Link agent wallet, which lets agents pay within approved spending limits.
  • Machine Payments Protocol (MPP): co-authored with Tempo for micro and recurring payments between machines, for example for API calls.

For merchants, Stripe takes part of the protocol question off the table. What's interesting is where the integration starts: with a structured catalog feed of product and inventory data.

Payment and trust: AP2, Visa and Mastercard

The fourth layer answers the trickiest question: how does a merchant know an agent is really acting on a customer's behalf?

Google's Agent Payments Protocol (AP2) relies on signed mandates, digitally signed proof of what the customer authorized the agent to do. It was introduced in September 2025 with more than 60 organizations. In April 2026, Google handed AP2 over to the FIDO Alliance, the body behind the passkey standards. Version 0.2 allows payments without the customer present, as long as the agent stays within limits approved in advance. UCP integrates AP2 mandates as an extension.

The card networks are building their own trust layer in parallel. Visa's Trusted Agent Protocol, published with Cloudflare in October 2025, lets merchants recognize agents by cryptographic signatures. Since October 20, 2026, a first live B2B pilot has been running in which an agent pays approved supplier invoices. Mastercard follows the same approach with Agent Pay and opened early access to a machine-to-machine variant in October 2026.

What's live today, and what's reaching Europe

Soberly put, this is where things stand in November 2026:

  • ACP is stable enough as a spec to integrate against, but still officially beta. In ChatGPT it mainly powers product discovery, while the purchase usually happens in the merchant's shop.
  • UCP drives Google's shopping experiences in AI Mode and Gemini. The Universal Cart is US-only so far, and UCP checkout is launching there first as well.
  • AP2 now sits with a neutral standards body, and the card networks are testing their trust schemes in pilots.
  • Stripe offers the building blocks, with availability and supported countries varying by integration, according to its documentation.

For retailers and manufacturers in Germany, Austria and Switzerland, that means the checkout, trust and payment layers are still in motion and will arrive with a delay. The catalog layer, on the other hand, is already being read today: by ChatGPT, by Google and by every agent that compares products.

Why every protocol grows downwards

Put the changelogs side by side and a pattern emerges. ACP added the feed as its own interface in April. UCP added the Catalog capability in March and followed up in August: structured snapshots of return, refund and warranty policies, richer media types up to video and 3D models, quantities by weight and measure, pickup locations with opening hours. Stripe moved catalog upload into its Dashboard.

The protocols started at payment and arrived at the product. The reason is simple: an agent that can pay cleanly but doesn't understand the product sells nothing.

What the specs now require from your product data

Read the current versions of ACP and UCP as a requirements list and what you find at the core is a data model:

  • Variants with unique identifiers: size, color and model as separate, selectable items
  • Real-time prices and stock: agents check right before they recommend or buy
  • Policies as data: returns, refunds and warranty in structured form, not as body text in the footer
  • Typed media: images, videos and 3D models, cleanly assigned
  • Units and measures: weight-based items, pack sizes, unit prices
  • Availability by location: shipping or pickup, store, opening hours
  • Member pricing and loyalty benefits: so identity linking has something to carry over

Every one of these is an attribute, a value range or a relationship in a product data model. No protocol creates this data. All of them assume it.

Where ainavio comes in

This layer is exactly where ainavio, the PIM with AI, does its work. Data onboarding reads supplier data from Excel, PDFs and ERP exports and brings it into one consistent structure. AI agents fill in missing attributes, standardize values and units, translate, and check quality before a record reaches any channel. Channel-ready output delivers the data to shops, marketplaces and feeds. And through the MCP server, AI assistants can work directly with the maintained product data.

How strong the pull from demand already is, we described in "One in five ChatGPT queries is a purchase query". The protocols are the platforms' answer to it. The retailers' answer has to be a catalog that machines can read without asking back.

Björn Thomsen

Head of Marketing, ainavio

Björn Thomsen is Head of Marketing at ainavio, the agentic PIM/DAM system. His focus is marketing operations & engineering: data, automation and the systems behind marketing, increasingly run by AI agents. He brings deep experience from B2B SaaS, cloud and data center companies as well as Tokyo's startup scene. At ainavio, he works on how e-commerce product data serves both people and machines, from the online shop to AI search.

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