What Is Agentic Commerce?

Agentic commerce is commerce carried out by AI agents acting on a person’s behalf: software that can search for products, compare options, build a cart, and complete a purchase with limited or no human clicking. Instead of a person navigating to a store and checking out, they delegate the task to an agent, and the agent transacts for them.

This page is the starting point for the whole reference. It defines the term, walks through how an agentic transaction actually flows, explains why it is happening now, sets out what is genuinely live today, and points to the deeper pages.

The shift in one sentence

For three decades, e-commerce optimized the human checkout. Every “buy now” button, saved card, and one-click flow was built to get a person through payment faster. Agentic commerce removes the human from the checkout and asks a harder question: how does a merchant trust, and get paid by, a piece of software that is shopping for someone else? Answering that question, safely and at scale, is what the new standards and network products are all about.

How an agentic purchase works

A typical agentic transaction has four moving parts. It helps to follow a concrete example: “find me running shoes in my size under 120 dollars and buy the best-reviewed pair.”

First, intent. The user tells an agent what they want, with constraints such as budget, size, timing, and preferences. The agent now has a goal it is authorized to pursue, within limits the user set.

Second, discovery and selection. The agent finds candidate products, often across multiple merchants, and chooses. To be considered, a merchant’s products have to be legible to an agent: structured, accurate, machine-readable data rather than information buried in a web page a human reads.

Third, authorization. Before money moves, the purchase is checked against what the user actually approved, so the merchant and the payment network have cryptographic confidence that a real person consented to this specific charge, not just that an agent decided to spend. This is the genuinely new trust problem, and it is the one most of the payment work is solving.

Fourth, checkout and settlement. The agent completes the purchase through a checkout the merchant exposes, a payment token is passed so the agent never touches raw card details, and the money settles. The merchant typically remains the merchant of record and keeps the customer relationship, fulfillment, returns, and support.

Each of those four parts is being standardized by a different protocol, which is why the field can look like alphabet soup at first. The map is laid out in the protocol stack.

1. 1MCPDiscover

   The agent finds the products.

2. 2ACPCheck out

   The agent builds and completes the cart.

3. 3AP2Authorize

   A signed mandate proves the user consented.

4. 4RAILSSettle

   A scoped token is charged and funds move.

The standards, in brief

You do not need the detail to understand the shape. Discovery is handled by MCP, the layer agents use to find and call tools and data. Checkout is handled by ACP, the OpenAI and Stripe standard for agent-to-merchant purchases, and by UCP, Google’s broader standard for the whole shopping journey. Authorization and trust are handled by AP2, which proves the user approved a specific purchase. Machine-to-machine settlement, agents paying for APIs, compute, and services, is handled by x402 and MPP. For how the money and trust actually move, see how AI agents pay.

These standards mostly compose rather than compete. The main genuine rivalry is at the checkout layer, where ACP and UCP overlap, and even there several large companies back both.

Why now

Three things arrived at once. Capable conversational agents that people already use to research purchases. Checkout standards (ACP, UCP) that let those agents transact with merchants rather than just recommend. And payment-authorization standards (AP2) plus network products from Visa, Mastercard, and American Express that tackle the trust and liability problem. Together they turn “an AI that recommends” into “an AI that can buy.”

The expected prize is large enough to explain the rush. McKinsey estimates that by 2030 the US business-to-consumer retail market alone could see up to one trillion dollars in orchestrated agentic revenue, with global projections as high as three to five trillion. Those are forecasts, not facts, but the direction is backed by the largest platforms and payment networks all building at once.

What is actually live today

This is where the gap between announcement and reality matters most, and a neutral reference should be plain about it. Google’s Universal Commerce Protocol is live, powering checkout inside AI Mode in Search and the Gemini app for eligible US retailers, paying through Google Pay. On the ChatGPT side, OpenAI and Stripe launched in-chat Instant Checkout in September 2025 with Etsy live from day one, but only a small number of merchants integrated, and OpenAI scaled back native in-chat checkout in early 2026, repositioning toward apps and product discovery that send shoppers to the merchant’s own checkout. The card networks’ agent-payment programs from Visa, Mastercard, and American Express are mostly in pilot or closed beta.

The honest summary is that the rails are being laid quickly, real transactions happen today, but the “buy anything directly inside the chat” future is further along on some surfaces than others. The lesson for anyone planning is that adoption depends as much on the host surface promoting it as on the standard itself.

Who the players are

Three groups are building agentic commerce, and many companies sit in more than one. Model and agent providers such as OpenAI, Google, and Anthropic build the surfaces where buying happens. Payment networks and providers such as Visa, Mastercard, American Express, PayPal, and Stripe build the authorization and settlement rails. And platforms and merchants such as Shopify, Walmart, and Etsy decide how to be present and verifiable when the shopper is an agent. A maintained view of who is doing what lives in the landscape, and the order of events is in the timeline.

What it means for you

If you run a business, the practical question is whether your products can be found, understood, and bought by an agent, and on whose terms. The short answer for most companies in 2026 is to get discoverable and transactable now, in a low-cost way, while watching the parts that are still settling. That decision is worked through, by business type, in what agentic commerce means for your business.

What to read next

For the standards compared side by side, read the protocol stack. For the two pivotal protocols in depth, read ACP explained and AP2 explained. For the money mechanics, read how AI agents pay. And keep the glossary handy for the acronyms.

FAQ

What is agentic commerce? Commerce carried out by AI agents acting on a person’s behalf: software that can search for products, compare options, build a cart, and complete a purchase with limited or no human clicking. The person delegates the task, and the agent transacts for them.

How is it different from regular e-commerce? Traditional e-commerce optimizes a human checkout, a person clicking Buy. Agentic commerce removes the human from the checkout, which raises a new problem the standards exist to solve: how a merchant trusts, and gets paid by, software shopping on someone else’s behalf.

Is agentic commerce actually being used yet? In a narrow way, yes. Google’s UCP powers checkout in AI Mode and Gemini for eligible US retailers, and a small set of merchants transact through ChatGPT, but much is still pilot or “coming soon,” and OpenAI scaled back native in-chat Instant Checkout in early 2026.

What are the main protocols? ACP and UCP for checkout, AP2 for payment authorization, MCP for discovery, and x402 and MPP for machine-to-machine settlement. Each handles a different part of an agentic transaction, and they mostly compose together.