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AI agents will not all pay the same way. An agent booking travel for a person may use familiar merchant and card systems, while an agent buying API calls or computing resources may need to make many tiny, automated payments. Payment companies are developing ways to identify agents, limit what they can do and protect credentials—but the standards, availability and rules for handling mistakes are still evolving.
Why AI agents create a different payments problem
When software can choose a seller, request a service and initiate payment without a person approving each step, the payment system needs to establish more than whether an account has funds. It also needs to determine which agent is acting, what the customer or business authorized, and whether the specific purchase fits that permission.
There are two broad patterns. In agent-assisted commerce, an agent performs a task for a person—such as booking travel or managing a subscription—through familiar consumer or merchant systems. In machine-to-machine payments, an agent may pay for individual API calls, compute or other digital resources. Those transactions can be frequent and worth less than a dollar, so the payment flow and economics differ from a conventional checkout. Visa and Artemis use this distinction in their account of emerging activity. Visa and Artemis: Agentic Payments from the Ground Up
The change is not simply that an AI can enter card details. The emerging designs add an identity and permission layer around the agent, and some aim to make payment part of a machine-readable exchange for a digital resource.
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How can a payment company know an agent is authorized?
Vendors describe several complementary safeguards: recognizing a particular agent, conveying information about the user’s intent, verifying or registering the agent, and giving it a payment credential that does not reveal the underlying account details. These are announced designs, not proof that every merchant or agent can use them today.
Visa and Cloudflare: Trusted Agent Protocol
Visa describes its Trusted Agent Protocol (TAP) as a way for merchants to distinguish trusted agents from malicious automation. Its design uses agent-specific cryptographic signatures and can carry information about the agent’s intent, recognition of the consumer and, optionally, payment. Visa says it developed TAP with Cloudflare and received feedback from payment and commerce companies; that participation does not establish universal deployment. Visa’s TAP announcement
Mastercard: Agent Pay
Mastercard announced Agent Pay in April 2025. The company describes a system for registering and verifying trusted agents and using tokenized payment credentials, with intended uses in consumer shopping and business purchasing. Its announcement also describes collaboration with Microsoft and other ecosystem firms. These are program goals and capabilities described by Mastercard, not evidence that every proposed workflow is broadly available. Mastercard’s Agent Pay announcement
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Stripe: Shared Payment Tokens
Stripe says Shared Payment Tokens (SPTs) let an agent initiate a payment with customer permission without exposing the underlying payment credentials to the agent. In a March 2026 announcement, Stripe said it was expanding SPT support to Mastercard Agent Pay and Visa Intelligent Commerce network tokens, as well as Affirm and Klarna buy-now-pay-later tokens. Stripe described supported capabilities as rolling out; availability can vary, so a business should verify current support before relying on it. Stripe’s SPT announcement
How do machine-to-machine payments work?
The Machine Payments Protocol (MPP), announced by Stripe and Tempo, is an open standard for machine-to-machine payments, according to Visa. In the flow Visa describes, an agent requests a resource; the service responds with its payment requirement; the agent authorizes payment within that interaction; and the service delivers the resource. This can connect a payment to an individual request rather than sending an agent through a conventional human checkout.
Visa announced a card specification and SDK for using card credentials in MPP-compatible workflows. That means MPP is not limited to one settlement method: the protocol describes an interaction, while the payment method determines how funds are settled. The announcement does not establish that all services accept MPP or that the card specification is universally deployed. Visa’s MPP card specification and SDK announcement
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Agent Pay for Machines
In June 2026, Mastercard described Agent Pay for Machines as infrastructure for high-frequency, low-latency, low-value transactions by agents and machines. The company says its announced capabilities include credentialing, programmatic permissions and spending limits, transactions across providers, and settlement across cards, accounts and stablecoins. Mastercard named initial participants and supporters; the announcement should be read as a description of its initiative and rollout, not a guarantee of broad acceptance. Mastercard’s Agent Pay for Machines announcement
Cards or stablecoins: which will agents use?
They are not necessarily competing choices. Visa’s framing is that cards fit proxy purchases and consumer-scale transactions, while stablecoins may suit machine-native micropayments. Mastercard says Agent Pay for Machines supports multiple payment types, including cards, accounts and stablecoins. In MPP, Visa’s announced card specification is one route for card credentials to participate in a machine-payment workflow.
The practical choice depends on the transaction, the service’s supported payment methods and the controls available to the person or business delegating the task. The announcements do not establish that one rail is universally cheaper, safer or faster, or that merchants and services accept all of them. Visa and Artemis on payment types and agentic transaction patterns
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What do the early transaction figures show?
Visa’s July 14, 2026 summary of a joint report with Artemis says that, using Artemis onchain data through April 21, 2026, x402 had about $15.0 million in adjusted volume across 109.6 million transactions since its launch in May 2025. Visa says x402 was incubated by Coinbase and Cloudflare and is stewarded by the Linux Foundation.
The same Visa summary says MPP settled roughly $25,000 across about 115,000 transactions in its first few weeks after launching in mid-March 2026. It reports that the average payment on both protocols was a fraction of a cent. The observation windows and maturity differ, so these figures should not be added together or treated as comparable measures of market size. They indicate reported protocol activity, not mature mass adoption. Visa and Artemis’ dated activity figures
Visa’s 2025 TAP announcement also cited more than 4,700% growth in AI-driven traffic to US retail websites over the preceding year and said 85% of shoppers who had used AI to shop reported that it improved their shopping experience. Those are figures reported by Visa, not independent estimates of the overall population or proof that agent-driven purchases have reached comparable scale. Visa’s 2025 announcement
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What remains unsettled for users and businesses?
Permission is not the same as accountability
A system can record that an agent was authorized without resolving who is responsible if it buys the wrong item, exceeds the user’s intent or acts through another agent. Visa identifies the user who delegated the task, the agent platform, the model developer and the merchant as possible parties in questions of responsibility. It also says existing legal and regulatory frameworks were not designed for delegated agent authority. Those are open questions identified by Visa, not settled legal conclusions. Visa and Artemis on trust, liability and disputes
Disputes may not fit machine speed
Human-centered chargeback and dispute processes can be difficult to apply when an agent makes transactions rapidly or passes a task through a chain of agents. A record of identity, intent, permission and the resource delivered could matter when investigating a disputed payment, but the announcements do not settle a common dispute process or allocate liability across providers.
Interoperability and availability are not guaranteed
Protocols and payment credentials only help when agents, merchants, service providers and payment systems can work together. Announced partnerships or feedback from industry participants are not evidence of universal acceptance. The IMF’s April 2026 note describes initiatives in payment initiation, orchestration, routing, compliance checks, liquidity management and settlement monitoring as emerging design patterns, rather than settled or standardized architectures. IMF Note No. 2026/004: How Agentic AI Will Reshape Payments
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For a consumer or organization using an agent, the important question is not just whether it can pay, but what authority it has and how that authority can be constrained.
- Set a narrow task. Specify the item or service, acceptable options and any maximum price rather than granting broad purchasing authority.
- Check payment permissions. Look for transaction limits, merchant or category restrictions, approval requirements and a way to revoke the agent’s access. Do not assume a protocol’s announced capability is available in the service you use.
- Understand the credential. Find out whether the agent receives the actual payment credentials or a tokenized or otherwise scoped credential, and how to disable it.
- Keep an audit trail. Confirm that you can review what the agent requested, what it was authorized to do and what the service delivered.
- Know the dispute route. Before delegating a consequential purchase, identify whom to contact if the agent makes an error and which payment provider handles the transaction.
The IMF’s overview helps explain why the wider field extends beyond checkout: agentic systems may also assist with routing, compliance checks, liquidity management and settlement monitoring. Those functions remain part of an emerging landscape, not a single standardized system. IMF overview of emerging payment design patterns
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