When a new 'agent commerce' standard shows up, should merchants rush to adopt it or just stick with the systems they already have?
Should merchants adopt new protocols or reuse existing standards instead?
This explores whether merchants preparing for AI shopping agents should adopt the new agentic-commerce protocols or keep using standards they already run. The corpus suggests the choice is mostly a false one, and that the more important question is what kind of market the merchant ends up in.
This explores whether merchants preparing for AI shopping agents should adopt the new agentic-commerce protocols or keep using standards they already run. The corpus suggests the choice is mostly a false one. The new protocols that succeed tend to be thin layers built on old standards. Visa's Trusted Agent Protocol is a good example. It is pitched as new infrastructure, but it is built on HTTP Message Signatures, an existing web standard. Its new part is what the signature carries: the agent's intent, who the consumer is, and payment data Can cryptographic signatures help merchants identify trusted AI agents?. Coordination research outside commerce finds the same pattern. Standards get adopted when they wrap and connect existing protocols like MCP rather than asking everyone to rewrite their systems Should coordination protocols wrap existing systems or replace them?.
The 'which one' framing also breaks down because the new protocols aren't really rivals. Boboev describes ACP, AP2, UCP, Visa's TAP and Mastercard's Web Bot Auth as a ladder. Each one covers a different layer (identity, discovery, governance, checkout), and each absorbs a different level of fraud risk. Merchants stack them rather than pick one Do agentic commerce protocols compete or complement each other?. A more useful question for a merchant is how much agent risk they want to accept, and which layer handles it.
There is a real gap that existing standards don't fill. When Amazon blocked Meta's Muse shopping agent, it did so through its terms of service, because no agreed way existed for an agent to prove who it is and what it is allowed to do What identity standards do shopping agents actually need?. The law has a similar gap. EU consumer protections assume a human clicking through checkout screens, with required buttons and disclosures. Busch argues these rules can't be enforced when agents transact directly with each other through APIs. He proposes new protocol-level duties, such as a withdrawal API that lets a buyer cancel Can EU consumer law rules survive agent-to-agent API transactions?. So some new protocol work is unavoidable, both for identity and for compliance.
There is also a warning from engineering practice. Adding a protocol in between can make systems less reliable. One production team found that tool access through MCP caused unpredictable failures, and switching to direct function calls fixed them. A survey of 306 practitioners found that 85% build custom agents rather than use frameworks Why do protocol-based tool integrations fail in production workflows?. For checkout, where a wrong action costs money, merchants may want to use protocols at the edges (identity, discovery) and keep the transaction path itself direct and predictable.
The part you might not expect is that this is less a technical decision than a vote on market structure. O'Reilly argues that MCP turned a winner-take-all chatbot race into a market where many vendors can compete Do protocols reshape markets by enabling multi-vendor competition?. Waller expects agentic commerce to split into open and closed systems, the way payment networks split into open-loop and closed-loop Will agentic commerce platforms adopt open or closed models?. The UK's Competition and Markets Authority (CMA) treats data portability as core market infrastructure, without which consumers get locked in Should data portability be infrastructure for agent-driven markets?. A merchant that only adopts one platform's proprietary protocol is helping build a closed loop. A merchant that adopts open, layered standards keeps more agents able to reach it.
Sources 9 notes
Visa developed Trusted Agent Protocol with Cloudflare to enable merchants to authenticate AI agents through agent-specific cryptographic signatures carrying intent, consumer recognition, and payment data. The protocol builds on HTTP Message Signatures and aims to bridge the gap between AI-assistant adoption and merchant trust.
Research shows that agent coordination standards achieve adoption by composing existing protocols like MCP and DIDComm under a shared substrate, rather than competing to replace them. Bridging lets value accrue incrementally without forcing ecosystem-wide rewrites.
Boboev argues ACP, AP2, UCP, TAP, and Web Bot Auth each solve different layers—application, governance, discovery, and identity—creating a capability ladder merchants stack rather than choose between, with each layer absorbing different levels of fraud risk.
Amazon's block of Meta's Muse reveals that AI agents need standardized ways to identify themselves and prove authorization to retailers—separate from consumer-side credential security. Without such protocols, retailers enforce access through terms-of-service blocks rather than negotiated standards.
Busch argues that agent-to-agent API transactions bypass design-based consumer protections like mandatory buttons and disclosure rules. He proposes parallel protocol-layer obligations, such as withdrawal APIs, to preserve substantive rights in a post-GUI transaction environment.
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MCP integration caused non-deterministic failures through ambiguous tool selection and parameter inference. Replacing it with explicit direct function calls and single-tool-per-agent design restored determinism. A 306-practitioner survey confirms 85% of production teams build custom agents, forgoing frameworks.
O'Reilly argues protocols are market-shaping mechanisms, not neutral infrastructure. He cites MCP's introduction as evidence that a shared protocol can shift an AI chatbot market from platform dominance toward ecosystem plurality where multiple vendors can compete fairly.
Waller argues agentic commerce platforms will divide between open systems allowing multiple agents and closed systems requiring proprietary ones, mirroring payment network structure. This choice will shape market concentration, vertical integration, and standards adoption.
The CMA frames data portability as a precondition for competitive agentic markets, warning that without it, agents cannot act effectively on consumer behalf and switching becomes blocked by lock-in to incumbent ecosystems.
Papers this line draws on 8
The research behind the notes this line reads — ranked by how closely each paper relates.
- Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets
- A Technical Taxonomy of LLM Agent Communication Protocols
- From Product Search to Preference Articulation: The Economics of Agentic Commerce
- Infrastructure for AI Agents
- Vertical tacit collusion in AI-mediated markets
- Agentic AI and consumers
- When Agents Shop for You: Role Coherence in AI-Mediated Markets
- Payments in the Age of AI Agents