eBay appears to have restricted third-party artificial intelligence agents, including Meta’s Muse, from accessing its online marketplace. The move prevents these automated assistants from browsing product listings, collecting pricing information and compiling shopping recommendations for users. The restriction represents another setback for companies developing AI agents designed to independently navigate online shopping platforms.
The development was reported on November 10, 2026, after users discovered that Meta’s Muse could no longer retrieve product information from eBay. The AI assistant had previously been used to monitor listings, compare prices and prepare daily shopping summaries. eBay has acknowledged that it selectively restricts third-party agent access, particularly when it involves unauthorized data scraping and the use of marketplace information for AI training. However, the company has not directly confirmed whether it recently introduced a new restriction specifically targeting Muse.
eBay Restricts Meta’s Muse From Accessing Product Listings
The restriction came to light after a user reported that Meta’s Muse had stopped retrieving information from eBay listings.
The user had previously configured the AI agent to search for watches across online marketplaces and prepare daily summaries containing relevant product information.
These summaries included:
- Product links and listing details.
- Asking prices and shipping costs.
- Information about product condition.
- Descriptions of product styles and specifications.
- Relevant listings matching the user’s preferences.
However, the automated shopping workflow suddenly stopped working when Muse attempted to access eBay.
According to reporting by The Verge, the AI assistant indicated that it had been blocked from accessing the marketplace. The publication independently reproduced the issue using different search requests.
In some cases, Muse redirected users to external websites displaying mirrored eBay listings instead of retrieving information directly from the marketplace.
The development suggests that eBay is becoming more restrictive about allowing independent AI agents to interact with its platform.
Why eBay Is Restricting Third-Party AI Agents
eBay has not provided a detailed explanation specifically addressing the latest Muse restriction.
However, company spokesperson Sybille St. Arromand told The Verge that eBay takes a selective approach to third-party access.
The company has restricted certain forms of agent access involving unauthorized scraping and the use of marketplace information for AI training.
eBay’s primary concern is maintaining a trusted shopping experience for buyers and sellers.
AI agents can automatically access large numbers of product listings, collect pricing information and process marketplace data much faster than individual human users.
While these capabilities can make shopping more convenient, they can also create challenges for platforms that depend on controlled access to their data.
Unauthorized automated activity could increase infrastructure demands, affect marketplace operations and allow external companies to use product information without permission.
eBay has also previously updated its user agreement to restrict buy-for-me agents and large language model-driven bots that place orders without human review.
The company is continuing discussions with potential partners to explore how third-party AI agents could help new customers discover products while preserving control over its marketplace.
Meta’s Muse Faces Growing Restrictions Across Online Shopping Platforms
The eBay development is part of a broader challenge facing Meta’s AI agent strategy.
Meta has positioned Muse as a personal AI assistant capable of performing tasks across digital services, including searching for products, comparing options and helping users complete shopping activities.
The objective is to move beyond traditional chatbots that simply answer questions.
Instead, AI agents are designed to interact with websites and applications, perform multiple steps and complete tasks with limited human involvement.
Shopping is considered one of the most promising applications of this technology.
For example, a user could ask Muse to find a particular watch within a specific budget. The agent could search multiple marketplaces, compare available listings, evaluate shipping costs and prepare a shortlist.
However, this functionality depends heavily on whether online platforms allow external AI systems to access their information.
Amazon has also restricted Meta’s Muse from browsing and shopping on its platform.
These restrictions suggest that major e-commerce companies are increasingly cautious about allowing independent AI assistants to operate within their digital marketplaces.
Amazon, eBay and Shopify Take Different Approaches to AI Shopping
Not every e-commerce company has adopted the same approach to third-party AI agents.
Some platforms are restricting access, while others are exploring partnerships that could make AI-powered shopping a central part of their business models.
| Company | Approach to third-party AI agents |
|---|---|
| eBay | Selectively restricts access, particularly unauthorized scraping |
| Amazon | Blocks external shopping agents such as Meta’s Muse |
| Target | Uses restrictions that vary depending on the interaction |
| Shopify | Has opened its product catalogue to support AI-powered shopping |
Amazon has taken a particularly restrictive approach, citing concerns involving security, privacy and control over the shopping experience.
Shopify, meanwhile, has been more welcoming to AI-powered commerce. Its platform is exploring ways for shoppers to use AI agents to discover products and complete purchases across its merchant ecosystem.
Target has adopted a more selective approach, allowing some interactions while restricting others.
These differences demonstrate that the future of AI-powered shopping will depend not only on the capabilities of AI companies but also on the commercial policies of individual retailers.
Why Retailers Are Concerned About Autonomous Shopping Agents
AI agents promise to simplify online shopping by automating tasks that traditionally require considerable time and effort.
However, their ability to interact with websites also introduces new operational challenges.
One concern is automated inventory manipulation.
In October 2026, reporting by The Verge highlighted how Meta’s Muse could repeatedly add products to shopping carts on The RealReal, a secondhand luxury marketplace.
This behaviour could effectively hold products in shopping carts and interfere with other customers attempting to purchase them.
The RealReal subsequently updated its anti-bot systems after the issue was reported.
Another concern involves inaccurate product information.
AI agents may misunderstand product descriptions, overlook important condition details or make incorrect comparisons between listings.
This is particularly relevant for marketplaces such as eBay, where many products are secondhand, collectible or unique.
Unlike standard retail products, these listings often require careful evaluation of authenticity, condition, seller reputation and other details.
Retailers therefore have reasons to ensure that automated systems do not compromise the shopping experience.
AI Shopping Agents Still Account for a Small Share of Online Transactions
Despite growing investment in autonomous shopping technology, actual adoption remains relatively limited.
Recent figures reported by The Verge illustrate the gap between the industry’s expectations and current usage.
Uber reportedly completed just four rides through third-party AI agents during the third quarter of 2026.
The company also processed approximately 500 Uber Eats orders through third-party agents during Halloween week.
DoorDash similarly reported only several hundred orders placed through external AI agents.
For comparison, DoorDash recorded approximately 993 million total orders in the previous quarter.
These figures indicate that AI agents currently represent a very small portion of real-world commercial transactions.
However, technology companies and retailers are continuing to invest in the infrastructure needed to support automated shopping.
The longer-term opportunity remains significant if consumers become comfortable allowing AI assistants to search, compare and purchase products on their behalf.
The Bigger Picture
eBay’s apparent restriction on Meta’s Muse highlights a growing conflict between AI companies developing autonomous assistants and online platforms seeking to maintain control over their data and customer relationships. While AI agents promise to make online shopping faster and more convenient, retailers must also consider security, unauthorized scraping, inventory manipulation and the accuracy of automated purchasing decisions.
The development could eventually divide the e-commerce industry into platforms that openly support third-party AI agents and those that prioritize proprietary shopping assistants. This could make it harder for consumers to use one independent AI assistant across multiple marketplaces. The future of agentic commerce will therefore depend as much on platform cooperation and commercial agreements as on improvements in artificial intelligence.
Looking Ahead
eBay’s restrictions represent another challenge for Meta as it attempts to establish Muse as a widely useful personal AI agent. The company will need to find ways to work with retailers, secure authorized access to product information and demonstrate that autonomous shopping can benefit both consumers and marketplace operators. eBay, meanwhile, has indicated that it remains open to discussions with potential partners while maintaining selective control over third-party access.
The broader AI shopping market is still developing, and the policies adopted by major retailers could determine how quickly autonomous commerce becomes mainstream. If platforms continue restricting independent agents, AI companies may need to establish formal partnerships or develop alternative shopping integrations. For consumers, the central question will be whether AI agents can eventually provide a convenient shopping experience without compromising product accuracy, security or control over purchasing decisions.
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