Amazon And Walmart Draw Different Lines Around AI Shopping Agents
AIThis post was created with the assistance of artificial intelligence (AI).

🔍 Read the full analysis: Amazon And Walmart Draw Different Lines Around AI Shopping Agents on ThorstenMeyerAI.com

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TL;DR

Walmart has announced an Agent Gateway and customer-controlled Agent Profiles to let approved AI agents search and purchase through structured tools. Amazon has blocked Meta’s Muse agent and requires outside agents to identify themselves, setting up competing approaches to access, security and control of the shopping relationship.

Walmart is opening a structured route for approved AI shopping agents, while Amazon has blocked Meta’s Muse from its site and requires outside agents to identify themselves. The opposing moves, reported in October 2026, show how retailers are setting different rules for software that searches and shops on a customer’s behalf.

Walmart’s October 21 announcement included Agent Profiles, which can set limits for an agent, and a Walmart Agent Gateway built around the Model Context Protocol, or MCP. The gateway is intended to let approved agents access product and shopping functions through a structured connection rather than navigating the retailer’s consumer website as a person would. The announcement describes Walmart’s approach; it does not establish that every outside agent can already use the gateway.

Amazon has taken a more restrictive position toward Meta’s Muse. The source account says Amazon cut off the agent on September 20 and displayed a message citing its Conditions of Use. Amazon said Muse had not disclosed that it would shop on the site, did not identify itself as an agent and appeared to capture and store customer credentials. Meta’s launch post said Muse had no visibility into users’ passwords or payment methods. Those are conflicting company statements; the material supplied does not independently resolve them.

Meta said on its October 21 earnings call that more than 10 million people in the United States and Canada had set up Muse in about six weeks, and that shopping was its most common use. Meta also reported an average purchase above $200. These are Meta’s own figures, not independently verified measures of completed purchases or broader consumer adoption. At Connect in September, CEO Mark Zuckerberg said Meta expected to earn money by taking a small fee from transactions.

At a glance
reportWhen: Announced and reported in September and…
The developmentWalmart announced tools for approved AI shopping agents on October 21, while Amazon’s restrictions on Meta’s Muse illustrate a contrasting approach to agent access.
Thorsten Meyer AI
How it works

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.

1

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)

2

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

3

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

ProtocolBackersCoversStatus
Personal Agent Protocol (Poppy)Sierra, Meta, Walmart, Shopify, Stripe + 35 design partnersAgent identity, customer permission, one session across site, API and company agentDraft 0.1 (9 Oct 2026)
Universal Commerce Protocol (UCP)Google, Shopify; site also lists Etsy, Wayfair, Target, Walmart, Amazon, MicrosoftDiscovery, cart, checkout, orders; payment mandates via AP2Published
Agentic Commerce Protocol (ACP)OpenAI, StripeCheckout between agent and merchantOpen source; ChatGPT's own checkout scaled back in March 2026

What a careful agent purchase looks like

  1. You give the task and a limit, for example a $50 cap.
  2. The agent identifies itself to the shop and gets only the access you approved.
  3. It prepares the cart and shows you an approval card.
  4. Payment goes through a token or one-time card, so the agent never sees your card.
  5. 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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Retailers Set Terms for AI Buyers

The dispute is about more than whether an agent can load a product page. Retailers want to control how automated tools access inventory, accounts and checkout; AI companies want their agents to complete tasks across merchants without rebuilding each connection. A retailer-run gateway can offer a more controlled route, while browser-based agents can operate on sites designed for human shoppers but may be difficult for merchants to distinguish from ordinary users.

Control also affects who keeps the customer relationship and receives credit for a sale. The source account cites GeekWire’s report that Amazon earned more than $68 billion from advertising last year. It also points to a potential problem for affiliate publishers: Amazon Associates commissions depend on tracked links, while an agent may use information from a review and make a purchase without a qualifying click. The supplied material does not quantify any resulting losses.

For shoppers, agent access could make price comparisons and purchases easier, but convenience does not settle who authorizes a transaction, which party holds payment information or whose return and support rules apply. Walmart’s use of spending limits addresses some control questions, but the announcements alone do not answer how consumers will be protected across different agents and merchants.

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From Browser Bots to Retail Gateways

The approaches fall into three broad categories. A browser agent acts through pages meant for people, potentially using a customer’s logged-in session. A merchant’s own connection, such as Walmart’s announced gateway, gives an approved agent access through structured tools. A third approach is a shared protocol intended to help agents and merchants communicate using common rules.

The source account describes several efforts underway in October 2026. Sierra and Meta announced the Personal Agent Protocol, or Poppy, with Walmart, Shopify and Stripe; a draft followed on October 9, alongside additional design partners. Google and Shopify’s Universal Commerce Protocol is described as published, while OpenAI and Stripe’s Agentic Commerce Protocol covers checkout. These initiatives have different scopes and backers; they should not be treated as one agreed industry standard.

Earlier developments in the account help explain the split. Meta announced retail connectors with Walmart and other companies on September 23. Shopify had also introduced structured checkout tools for browser agents, according to the source. The account says OpenAI later shifted its Instant Checkout plans toward merchants’ own checkout experiences, indicating that discovery and checkout remain separate challenges rather than a settled end-to-end system.

Access, Safety and Adoption Remain Open

The announcements do not establish how many transactions Muse has completed, how frequently shoppers use it to buy rather than research, or whether Meta’s reported average purchase represents a typical completed transaction. The source cites HUMAN Security data from September saying 81% of agent requests went to product and search pages and 2.4% to checkout and payment. Those figures describe requests in that dataset and period; the supplied material does not give its full methodology or establish that the pattern applies to all shopping agents.

It is also unclear which agents will be approved for Walmart’s gateway, what checks they must pass, or how Agent Profiles will work across merchants. Amazon and Meta have offered conflicting accounts of Muse’s handling of credentials; the supplied reporting does not provide independent technical evidence to settle the disagreement. The practical status of the competing protocols, including how broadly merchants and agents will implement them, remains developing.

Merchant Access Rules Take Shape

The next test is whether Walmart’s announced gateway becomes available to outside agents in practice, and what identity, permission and spending controls it requires. Retailers and agent developers will also need to determine how purchases are attributed, how customers approve payments and who handles disputes, cancellations and returns.

Developers are continuing work on competing commerce protocols, but the source material does not give a confirmed timetable for widespread adoption. For now, shoppers considering agent purchases should check purchase approval settings and spending limits, understand which payment method is charged and confirm the applicable merchant’s return policy. Whether the industry settles on shared access rules—or keeps a mix of retailer-specific doors and blocked agents—remains unclear.

Key Questions

What did Walmart announce?

Walmart announced Agent Profiles with controls such as spending limits and a Walmart Agent Gateway using MCP. The tools are intended to give approved agents a structured way to access shopping functions.

Why did Amazon block Meta’s Muse?

Amazon said Muse had not disclosed its shopping activity, failed to identify itself as an agent 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.

Does Meta’s user figure mean 10 million people bought through Muse?

No. Meta said more than 10 million people in the United States and Canada set up Muse within about six weeks. That figure does not by itself show how many people completed purchases or how often they used the agent.

How might AI shopping affect affiliate publishers?

Some affiliate programs rely on a tracked link click to credit a sale. If an agent uses a publisher’s product information but completes the purchase without that link, the publisher may not receive commission. The source material identifies this as a potential issue but does not measure its financial effect.

What should shoppers check before using an agent to buy?

Review whether purchases require approval, set a spending cap if available, check which payment method is used and confirm the merchant’s return and support terms. Controls may differ by agent and retailer.

Source: ThorstenMeyerAI.com

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