Do agentic commerce protocols compete or complement each other?
Explores whether emerging payment protocols like ACP, AP2, and UCP represent a competitive protocol war or form complementary layers addressing different risk management needs in agent-driven commerce.
Sam Boboev, in the Medium essay "Deep Dive: The hidden liability of agentic commerce," argues that the "protocol war" among emerging agentic-commerce standards is better read as a stack than a competition. He writes "I think it is a mistake to view these as competing products. They are building a 'capability ladder' that determines how much risk a merchant is prepared to absorb," and states that "each protocol addresses a different layer of the stack, from the application layer to the settlement layer."
He assigns each protocol a distinct layer. OpenAI and Stripe's Agentic Commerce Protocol (ACP), he says, is "the application layer for conversational commerce," built around a Shared Payment Token that scopes card data to a specific merchant and amount but, in his view, "does little to protect the merchant from intent disputes." Google's AP2, built with a coalition Boboev says includes 60 partners, is "the governance layer," using cryptographically signed "mandates" that reject a transaction before it reaches the processor if an agent tries to exceed its authorized spend. UCP, in his account, standardizes "discovery and post-purchase flows" — JSON-RPC 2.0 schemas for carts, logistics and returns — so a merchant can "build once" and reach any UCP-compatible agent. At the network level, he distinguishes Visa's Trusted Agent Protocol (TAP), a cryptographic identity standard built on "three distinct signatures" that lets an agent pass user context without a full login, from Mastercard's approach, which he calls a "no-code" method built on the IETF's Web Bot Auth standard (RFC 9421) at the CDN layer for "mass-market scalability."
This pattern sits alongside Does agentic commerce shift fraud liability onto merchants? — the same source's claim that no matter how far this ladder of protocols is climbed, Merchant-of-Record liability does not move. It also contrasts with Can existing identity standards work for AI agents?, which argues enterprises should reuse OAuth, OIDC and SPIFFE/SPIRE rather than adopt new agent-specific standards; Boboev's account describes the opposite trend in commerce, where ACP, AP2, UCP and TAP are each new, purpose-built protocols rather than extensions of existing identity infrastructure. AP2's "mandates" also parallel the token-based approach in How can AI agents prove who authorized their actions?, applying a similar delegation-proof concept specifically to payment authorization.
The excerpt only describes what each protocol is designed to do, attributed to its sponsors and to Boboev's own reading; it offers no evidence on adoption rates, interoperability in practice, or whether merchants are actually combining these layers as he predicts. If the layering holds as he describes it, a merchant's practical protocol choice is not a single either/or decision but a set of stacked integrations — checkout, governance, catalog, and identity — each solving a different part of the risk problem he identifies.
Inquiring lines that read this note 52
This note is a source for these research framings, grouped by the broader line of inquiry each explores. Scan the bold lines of inquiry; follow any specific question forward.
How should agent identity and authorization work across organizational boundaries?- Does Personal Agent Protocol solve the identity and authorization gap for shopping agents?
- What identity and authorization standard would satisfy both consumer and merchant requirements?
- How do protocol-level access controls capture transaction-by-transaction authorization preferences?
- Can authenticated delegation tokens prevent merchants from absorbing agent payment liability?
- Why are new protocols being built instead of extending OAuth and OIDC?
- How do web browsing agents differ from protocol-native agents legally?
- Should payments infrastructure adopt agent-specific protocols or reuse existing identity standards?
- How does Visa's protocol differ from OAuth-based delegation approaches?
- What consumer and merchant benefits does agentic commerce create?
- How might card networks recognize agent-operator liability to shift risk away from merchants?
- Does merchant liability move up the agentic commerce protocol stack?
- What protocol-layer obligations could replace GUI consumer protection rules?
- Can existing unfair commercial practices law cover agentic transactions today?
- What makes agent-to-agent negotiation fundamentally different from agent-assisted shopping?
- How does merchant-of-record status persist through API-based agent integrations?
- Why do incumbent platforms retain advantages under agentic commerce systems?
- Would separating agent recommendations from merchant payments reduce principal-agent risk?
- Why does adoption urgency for agentic commerce exceed its near-term financial opportunity?
- What happens to this margin gap if agentic commerce adoption accelerates faster?
- Why do independent hotels depend on vendor support rather than direct MCP deployment?
- Which companies and platforms must become agent-compatible for agentic commerce to scale?
- Can merchants win agent-mediated purchasing decisions without controlling the agent itself?
- Can brands compete if one platform controls agent distribution and payment rails?
- How do agentic shopping systems balance merchant revenue and consumer savings?
- Who bears liability when merchants use Stripe risk scores but process payments elsewhere?
- Why do current agentic commerce platforms mostly build platform-owned agents?
- Why might retailers prefer closed agentic systems over open ones?
- Can smaller merchants compete if agentic commerce becomes platform-specific?
- What switching costs would consumers face between different agentic platforms today?
- Are merchants actually adopting these protocols as an integrated stack?
- Does MCP integration guarantee accurate rate and availability data at booking scale?
- How do AI protocols win adoption through market contention versus specification?
- What protocols enable agents to coordinate and complete transactions with each other?
- How do formal standards differ from market-driven protocol adoption in governance?
- What makes protocols more market-shaping than APIs enforced by dominant actors?
- Does protocol adoption require formal disclosure mechanisms to remain governable?
- Can a single protocol work across multiple AI agents and payment providers?
- Should merchants adopt new protocols or reuse existing standards instead?
- How do platform-specific standards differ from interoperable standards in agentic commerce?
- When should EU regulators translate design rules into protocol standards?
- How does agentic commerce on crypto differ from consumer-authorized AI purchases?
- Can algorithmic herding and flash crashes occur in agent-mediated payments?
- What payment methods does AP2 support beyond traditional cards?
- Is open banking adoption the key accelerant for agentic financial services?
- How quickly might agentic payment tools like OpenAI Operator reach banking use?
- How do stablecoin wallets differ architecturally from virtual card programmability?
- What real-world agent teams currently operate on self-issued sub-wallets?
- Could agent-controlled sub-wallets and personal agent protocols coexist together?
- What trust gap does Visa aim to address with this protocol?
- Do existing fraud detection models work for agent payment behavior?
Related concepts in this collection 4
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Does agentic commerce shift fraud liability onto merchants?
When AI agents handle purchases, behavioral fraud signals disappear and merchants remain liable. Does this structural shift leave merchants without traditional fraud-detection protections they once relied on?
the sibling note on why merchants bear risk under every layer of this same capability ladder
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Can existing identity standards work for AI agents?
NIST's NCCoE is exploring whether established protocols like OAuth, OIDC, and SPIFFE/SPIRE can solve identity and authorization challenges for autonomous AI agents, rather than requiring entirely new agent-specific standards.
contrasts with Boboev's account of a proliferating stack of new, commerce-specific protocols rather than reuse of existing identity standards
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How can AI agents prove who authorized their actions?
Explores whether cryptographic delegation tokens can create verifiable chains of accountability between human users and AI agents, addressing gaps in current authorization frameworks.
AP2's cryptographically signed mandates are a commerce-specific instance of the delegation-token pattern this note generalizes
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Can cryptographic signatures help merchants identify trusted AI agents?
Visa's Trusted Agent Protocol uses cryptographic signatures to let merchants verify AI shopping agents' legitimacy and intent. This matters because merchants need ways to distinguish commerce-focused agents from malicious bots while maintaining customer relationships.
Evidence for A: Visa's TAP uses cryptographic signatures to verify agents, illustrating the identity layer in A's capability ladder
Related papers in this collection 8
Papers most semantically related to this note, ranked by cosine similarity in the embedding space.
- The agentic commerce opportunity: How AI agents are ushering in a new era for consumers and merchants
- Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets
- How Agentic AI Will Reshape Payments
- Deep Dive: The hidden liability of agentic commerce
- From Product Search to Preference Articulation: The Economics of Agentic Commerce
- Infrastructure for AI Agents
- Foundation Protocol: A Coordination Layer for Agentic Society
- Powering AI commerce with the new Agent Payments Protocol (AP2)
Original note title
Boboev frames ACP, AP2, UCP, Visa's TAP and Mastercard's Web Bot Auth as a capability ladder of complementary layers rather than competing standards