🔍 Read the full analysis: Amazon And Walmart Clash Over AI Shopping Agents on ThorstenMeyerAI.com
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TL;DR
Walmart has announced tools that let approved AI agents search its products and make purchases under customer-set permissions. Amazon has blocked Meta’s Muse agent, citing its terms and concerns about identification and customer credentials. The dispute highlights competing approaches to agent access, shopping data and control of the customer relationship; the scale of agent-driven purchases remains uncertain.
Walmart is opening a route for approved AI shopping agents to search its products and make purchases under customer-set permissions, while Amazon has blocked Meta’s Muse agent from accessing its site. The opposing approaches sharpen a dispute over how agents can shop online, who controls the transaction, and what protections apply when software buys on a customer’s behalf.
Walmart announced its Agent Gateway and Agent Profiles on October 21. The gateway is designed to let approved agents interact with Walmart through a structured technical connection, rather than navigating the retailer’s ordinary webpages as a person would. Agent Profiles are intended to set permissions, including spending limits. Walmart’s announcement does not by itself establish how widely the tools are available or how many customers are using them.
Amazon took a different approach with Meta’s Muse personal agent. According to the supplied account, Amazon blocked Muse on September 20 and displayed a message saying continued access by an unauthorized AI agent violated its Conditions of Use. Amazon said Meta had not told it Muse would shop on the site, that the agent did not identify itself and that it appeared to capture and store customer credentials. Meta disputed the credential concern: its launch post said Muse could not see users’ passwords or payment methods.
Meta’s figures give a sense of the interest it says the product has attracted, but they are company-reported numbers. At its October 21 earnings call, Meta said more than 10 million people in the United States and Canada set up Muse within about six weeks, shopping was its most common use and the average purchase was over $200. These figures describe Meta’s reported user activity; they do not show how many purchases were completed on retailer sites or how much sales volume agents generate overall.
Agentic shopping
Three ways an AI agent buys for you
Every fight between shops and AI agents comes down to which of these three routes the agent uses, and whether the shop agreed to it.
The browser, like a human
The agent opens pages built for people, signs in with your login and clicks through checkout. Works almost anywhere, which is why shops object: they can't tell the agent from you.
Examples: Meta's Muse (from a virtual machine in Meta's cloud), Perplexity's Comet (from your own computer)
The shop's own agent door
Approved agents search and buy through a structured interface instead of clicking through pages. The shop sets the rules.
Examples: Walmart Agent Gateway (MCP, beta), Shopify MCP server and WebMCP checkout tools
Shared protocols
Common rules for who the agent is, what you allowed, and how the checkout and payment are confirmed.
Examples: Personal Agent Protocol (draft), Universal Commerce Protocol, Agentic Commerce Protocol
The protocols competing to be the standard
| Protocol | Backers | Covers | Status |
|---|---|---|---|
| Personal Agent Protocol (Poppy) | Sierra, Meta, Walmart, Shopify, Stripe + 35 design partners | Agent identity, customer permission, one session across site, API and company agent | Draft 0.1 (9 Oct 2026) |
| Universal Commerce Protocol (UCP) | Google, Shopify; site also lists Etsy, Wayfair, Target, Walmart, Amazon, Microsoft | Discovery, cart, checkout, orders; payment mandates via AP2 | Published |
| Agentic Commerce Protocol (ACP) | OpenAI, Stripe | Checkout between agent and merchant | Open source; ChatGPT's own checkout scaled back in March 2026 |
What a careful agent purchase looks like
- You give the task and a limit, for example a $50 cap.
- The agent identifies itself to the shop and gets only the access you approved.
- It prepares the cart and shows you an approval card.
- Payment goes through a token or one-time card, so the agent never sees your card.
- The shop’s normal returns apply if the agent got it wrong.
Sources: Meta (8 Sep 2026), Walmart (21 Oct 2026), TechCrunch on Shopify (28 Sep 2026), Sierra (9 Oct 2026), ucp.dev, agenticcommerce.dev, OpenAI (24 Mar 2026). Purchase steps: Walmart’s agent terms and Meta’s Muse description.
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Who Controls the Agent Purchase
The disagreement affects more than whether a shopper can compare prices. If an agent researches products across retailers, it may influence which stores get considered, where a customer checks out and which business retains the customer relationship. A retailer that lets outside agents in can gain another route to shoppers, but must decide what information those agents can access and how to manage their purchases. A retailer that blocks them keeps tighter control of its own site and can steer users toward its own shopping tools.
There is also a potential effect on publishers and referral businesses. The source material notes that Amazon Associates commissions rely on customers using tracked links. If an agent reads a review but completes a purchase through another route, the referral may not be credited in the usual way. The scale of any such effect is not established here, but the mechanics create a question for businesses that earn money by directing shoppers to products.
For consumers, an agent may reduce the effort involved in comparing products and completing routine purchases. It also creates practical questions about purchase approval, spending caps, payment security and returns. A retailer’s rules and the agent’s permissions may not be the same, so shoppers need to know which service is actually placing the order and which terms apply if a purchase goes wrong.
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From Browser Bots to Retail Gateways
Meta launched Muse on September 8, describing it as an agent able to open a browser, fill out forms and act for a user. The supplied source says Muse runs in a dedicated virtual machine in Meta’s cloud and uses Link by Stripe for payment with a one-time-use card. Amazon blocked it less than two weeks later, making access rules an immediate point of conflict rather than a distant technical concern.
At its September 23 Connect event, Meta announced retail connections involving Best Buy, Gap, Sephora, Walmart, Wayfair and Expedia. Mark Zuckerberg said Meta expected to earn money by taking a small fee from transactions. The October 21 Walmart announcement followed the development of other tools and proposals: Shopify introduced structured checkout tools for browser agents, while Meta and Sierra published a draft Personal Agent Protocol with Walmart, Shopify and Stripe among its backers and additional design partners.
The broader landscape remains unsettled. The source describes several competing commerce protocols, including Meta and Sierra’s Personal Agent Protocol, Google’s Universal Commerce Protocol and OpenAI and Stripe’s Agentic Commerce Protocol. These proposals address different parts of agent-assisted shopping, from identifying an agent and recording what a customer has authorized to connecting discovery with checkout. A protocol’s existence does not mean all retailers or agents support it, and the source says payment handling is still left to extensions in the draft Personal Agent Protocol.
“Continued access by an unauthorized AI agent violates Amazon’s Conditions of Use, to which our customers have agreed.”
— Amazon, in the message shown to Muse users, as reported in the supplied source
Adoption, Access and Buyer Protections
The announced tools do not yet establish how many shoppers will use agent-led purchases, how much retailers will permit agents to do, or how often an agent will reach checkout. The source cites HUMAN Security data from September showing 81% of agent requests went to product and search pages and 2.4% to checkout and payment. Those figures describe the requests in that dataset and period; they are not a universal measure of shopping agents or a forecast of future sales.
It is also not clear from the supplied material how Walmart will vet every agent, what remedies customers will have if an agent makes an unwanted purchase, or how returns and disputes will work across retailer and agent systems. Amazon’s credential allegation and Meta’s denial remain conflicting company statements; the material provides no independent finding resolving them. Nor is there enough information to establish whether Amazon will broaden access to outside agents or whether Walmart’s gateway will become a widely used alternative.
Retailers Set the Next Access Rules
The next test is whether Walmart’s gateway moves from announcement to routine use by customers and third-party agents, and whether its permission settings give shoppers meaningful control. Progress on the competing protocols may also show whether retailers and agent companies can agree on common ways to identify agents, record customer authorization and handle checkout. The draft status of the Personal Agent Protocol means its capabilities and adoption could change.
Amazon’s next steps are less clear. The company could continue to restrict outside agents while promoting its own tools, or set conditions under which some agents can connect. Until retailers publish more detail about access, payments and support, shoppers should check whether an agent asks for approval before each purchase, set a spending limit where available, and confirm which retailer’s return policy applies. Those safeguards do not resolve the industry dispute, but they can limit the consequences of an agent acting incorrectly.
Key Questions
What did Walmart announce?
Walmart announced an Agent Gateway for approved AI agents and Agent Profiles intended to let customers set permissions such as spending limits. The announcement does not establish how widely the tools are available or how many purchases they have handled.
Why did Amazon block Meta’s Muse?
Amazon said Muse was an unauthorized agent, did not identify itself and appeared to capture and store customer credentials. Meta disputed the credential concern, saying Muse could not see users’ passwords or payment methods. The supplied material does not independently resolve the disagreement.
Can AI shopping agents complete purchases?
Some agent systems can navigate websites and attempt checkout, while retailer gateways and structured checkout tools offer another route. But access varies by retailer, and the source’s September data found that most agent requests in its dataset went to product and search pages rather than checkout.
What should shoppers check before using an agent?
Check whether purchases require approval, set a spending cap if available, and understand how payment and returns work. Confirm which retailer is responsible for the order and whose return policy applies.
Source: ThorstenMeyerAI.com
