Visa CLI and X402 CONVERGENCE

Last week I wrote about MPP and x402 solving the internet’s original sin: the inability of machines to pay machines without a human in the loop. This week, Visa made that argument a lot easier to make.

Visa Crypto Labs quietly launched Visa CLI, a command line tool that gives AI agents a wallet. One npm install. One setup command. And your agent can pay for anything on the internet, charged to a real Visa card, without an API key, without a pre-funded crypto wallet, without human intervention.

I got beta access this week and tested it. Here’s what I learned, and why I think the CLI is the most important signal yet that the incumbent payment networks are serious about the agentic commerce era.

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The Evolution of Checkout: Invisible, Instant, and Everything In Between

My friend Simon Taylor at Fintech Brainfood published a provocative piece this week: The Checkout is Dead, Part 2. His thesis is elegant — the future of agentic commerce is invisible. No cart. No confirmation screen. No “Pay Now” button. Just an event in the world, and money moves.

IMHO He’s right about the general direction. But he’s wrong about the scope and timeline. Not everything fits in instant, and its really important to look not only at OpenAI’s instant checkout FAILURE at Walmart, but also their internal success (ie Sparky driving 35% sales increase with internal checkout).

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Target’s Consumer Terms “Your Bot Is Your Responsibility”

Target updated its consumer terms on March 22, 2026 to clarify that AI agent-initiated purchases are the customer’s responsibility.

  • The timing is not coincidental — it’s a signal that Google’s “Buy For Me” launch is coming,
  • The new language is blunt: if a customer authorizes an AI shopping agent to act on their behalf, those transactions are “considered transactions authorized by you.”
  • Added a disclaimer that it “does not guarantee that third-party AI tools will act exactly as you intend in all circumstances.”
  • Target wants to be very clear about who owns the risk: Your bot is your responsibility.

Google “Buy For Me” Is the Trigger

In May 2025, Google announced its agentic checkout feature: track a price, set your threshold, and when it drops, tap “buy for me.” Behind the scenes, Google adds the item to your cart and completes checkout via Google Pay — without you touching a keyboard.

Target is a named Google Gemini retail partner, announced by Google CEO Sundar Pichai at NRF 2026. This is not a generic partnership. When “Buy For Me” goes live at scale, it will represent the first true machine-to-machine (M2M) agentic commerce program with mass consumer reach. An automated, bypass-checkout flow with no human in the loop at the moment of purchase. Target sees this coming. Their terms update is the legal groundwork being laid before launch.

Why Target Is Uniquely Exposed

Target has the largest card services footprint of any US merchant. Approximately 25 million customers that hold a portfolio including:

  • Decoupled debit (Circle card – aka Target Red Card)
  • Closed loop
  • Co-brand credit (issued with TD Bank)
  • Prepaid products

These cards, with integrated loyalty and discounts, drive roughly 24% of Target’s total sales. It is a massive proprietary stake in payments (and a massive liability exposure if agentic purchases go wrong at scale).

The ACP Problem: Simulating the Consumer’s Device

As I wrote in Device Graph Extinction, Stripe’s Agentic Commerce Protocol (ACP) is currently the most operationally capable agentic payment protocol in the market. ACP is notable for one specific capability: it can simulate a consumer’s device environment, backfilling device telemetry (via Stripe Radar data) for transactions that originate from an agent rather than a human. In plain English: ACP can make an automated M2M transaction look, to a merchant’s fraud system, like a normal human-initiated purchase.

This is a direct threat to the 30-year fraud investment that merchants like Target have made. Their risk models depend on behavioral signals — time on site, device fingerprints, navigation patterns. An agent that simulates a device but bypasses the checkout UI strips all of that signal away.

Target’s new terms are also a message to OpenAI and Stripe ACP: You may be able to simulate and bypass controls. But if you do, the consumer owns the fraud — not us.

The Paze Problem: Why Target Won’t Accept a Bank-Led Solution

As I outlined in my analysis of UCP Enables a New Economy, the US bank consortium’s Paze wallet has failed to gain merchant traction, and that failure is structural and political.

Target will not participate in an agentic commerce framework that excludes its proprietary card portfolio. The Paze consortium represents only the top 6 V/MA Issuers. It excludes other cards and also serves as a blocker to V/MA (DAF and TAF) rule sets. If Target is going to take risk in agentic, it certainly isn’t going to add to that risk in a new payment system they have not control over, AND excludes their cards (Duh).

Target’s logic is straightforward: we will not accept an agentic architecture that pushes risk onto us for transactions we can’t see, can’t control, and can’t dispute through our own instruments.

Merchant of Record and the Checkout Control Imperative

IMHO Visa and Mastercard have built a very solid technical and rule infrastructure to manage agentic risk. DAF (Device Authentication Framework) and TAF (Transaction Authentication Framework), along with VAS services like Visa TAP and Mastercard AgentPay, are designed precisely to govern M2M payment flows with liability shift potential. It is open, and standardized.

While AgentPay and Intelligent Commerce will play in ROW, US Banks are effective blockers. For example, AP2 mandates could be sent in “buy for me” BUT retailers own the risk, don’t control authorization process (or including AP2 Mandates within a 3DS payload), AND US banks have no plans to act on them.

Without issuer participation in a formal liability shift framework, merchants like Target bear 100% of the fraud risk — as they do today in US eCommerce. A “Buy For Me” flow that bypasses merchant checkout also bypasses the device data capture that powers Target’s risk models.

Target must own the checkout experience. It is not stubbornness. It is the only available mechanism for risk management in the absence of a network-governed liability shift that includes their full card portfolio. As I noted in UCP Enables a New Economy, UCP’s embedded checkout (iFrame) flow preserves exactly this.

Google Buy For Me represents the first REAL Machine to Machine (M2M) agentic transaction flow. Since merchants own the risk, they can set the consumer terms. Target’s consumer terms act as a liability fence before the product launches. If a consumer’s Gemini agent buys 47 shower curtain rings at 3am, Target wants it on the record that this was an authorized transaction. I also see it as a message to the ecosystem. Any AI platform (Gemini, ChatGPT, Stripe ACP) that attempts to simulate a consumer device or bypass the checkout flow is operating in a zone where the consumer owns the consequences. Target will not absorb the cost.

Until network stakeholders align, the “Your Bot Is Your Responsibility” policy is what the liability infrastructure looks like at the starting line of M2M, I believe the V/MA frameworks will succeed in long term, but Issuers and merchants must buy in.

Related reading: UCP Enables a New Economy | Stripe Agentic Commerce Protocol (ACP) | Device Graph Extinction

MPP Phase 2 Live – Ask Tom Goes Agentic

Long blog – First 2 Pages are economic implications, last 6 pages are tech deep dive

MPP is a big deal because value exchange enables specialization and market forces to operate (as discussed in last week’s MPP – Addressing the Internet’s “Original Sin”.MPP and X402 are BIG.. really big. A whole new market. This isn’t about cash replacement or taking share from xx this is about enabling a new Economy. Today’s blog is 4 paragraphs of the economic implications (for investors and CEOs), followed by 4 pages on tech detail covering what I built. Please note “Ask-Tom” is just a model of an x402 service…. of course it won’t generate much demand (service ID is at bottom).

First, let me try to explain why this is such a big deal from an economic perspective. The foundational driver for MPP’s success is the radical reduction of transaction costs through standardized commercial terms. As outlined in my 2016 blog Small Wins, the forces that once drove asset-heavy, integrated organizations are atrophying in favor of “refragmentation” and specialized networks. Historically, the economic cost of inking a bilateral contract for every micro-interaction was prohibitive (ex “Account Creation” bottleneck that stifled agentic autonomy). Following the principles of Ronald Coase’s Transaction Cost Economics, MPP and x402 provide the multilateral governance and common commercial rules necessary to bypass these friction points. By establishing trust and speed through a common interface, these protocols allow for the “Small Win” of a single transaction to scale into a global network effect, where the cost of connection approaches zero.

This standardization enables the “Value Assembly” of “super-specialists” who can target previously unreachable “shale deposits” of niche market demand (see Network Effects and Value Assembly). A successful network enables specialists like “Ask-Tom” to provide high-value, grounded intelligence without the overhead of building independent settlement or reconciliation infrastructure. This is far beyond mere “agentic commerce”; it is an evolution in how software and hardware interact with EVERYTHING ECONOMICALLY. For example, MPP’s session-based economics provides a virtual “bar tab” for agents to execute tasks within human-granted budgets, paying only for precise resource consumption. This creates a sustainable commercial model where the incentives for specialization and market forces to operate on software service at a hyper granular level. Market forces in turn encourage specialists to solve increasingly granular problems across diverse domains, and unlocks the “shale deposits” of data that doesn’t play. I’ll discuss what this could look like next week as a follow up to Value Assembly.

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MPP Test – Demonstrating Significance: Phase 1 is Live

For over 60 years we have been focused on human-centric communication in our networks. While we still have payment problems in this interaction, a whole world is evolving where machines interact with other machines. The scale of this interaction is limited by value exchange — after all, who wants to spend resources answering a bot’s question if they are just stealing your data and delivering no new customers (see this blog covering Cloudflare CEO Matthew Prince’s comments).

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Stablecoins Are Not Free — Why They Are A RAIL in Consumer Payments


There’s a narrative running through payments circles right now that goes something like this: stablecoins will replace card rails because they’re cheaper, faster, and programmable. Stripe makes acceptance easy. Card networks are too slow to innovate. Machine-Machine payments need programmability. GENIUS Act passed. The future is obvious.

I’ve been writing about stablecoins for over two years, from the case for stablecoin as a trust platform to the ECB’s monetary sovereignty alarm. And I keep coming back to the same conclusion: stablecoins are not a replacement for cards, but rather another rail with cards retaining their role as the layer of abstraction for multiple networks (as they do today). They will do well where cards don’t play (micropayments, B2B and uncarded markets).

Here’s why (and why that matters more than you might think).

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Amazon vs Walmart: Two Very Different Bets on Agentic Commerce

Amazon and Walmart are the two dominant forces in US retail. They are also taking fundamentally different approaches to agentic commerce — and those differences will shape how payments, checkout, and consumer trust get redesigned over the next three years. This divergence has direct implications for card networks, payment processors, authentication infrastructure, and anyone building for the future of checkout.

Amazon: Closed Stack, Agentic Inside-Out

Amazon is building agentic commerce from the inside out — embedding AI agents deep into its own proprietary infrastructure and deliberately keeping external agents at arm’s length. The strategy is control through ownership.

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Stablecoins and Monetary Policy: The ECB Confirms What Italy Said Last Year

The ECB published a study today warning that stablecoins could erode retail deposits across the eurozone and undermine the effectiveness of monetary policy. The finding is notable — not because it’s new, but because it’s taken this long for the institution to officially say it.

As I related last May, Italy’s Finance Minister Giancarlo Giorgetti made exactly this argument, warning that the displacement of traditional bank deposits by dollar-denominated stablecoins represented a direct threat to European monetary sovereignty. His remarks were largely dismissed at the time as political protectionism. The ECB’s study vindicates the concern. The mechanism is straightforward: if depositors move funds from bank accounts into stablecoins, banks lose the deposit base that anchors their lending capacity — and the ECB loses its primary transmission channel for monetary policy. Rate changes simply don’t land the same way when the money isn’t sitting in a regulated deposit account.

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