Original Article Title: A Year Inside Agentic Payments: The Uncomfortable Truth
Original Article Author: @13yearoldvc
Translator: Peggy
Editor’s Note: This article provides a relatively sober builder’s perspective. Over the past year, agentic payments have become a hot narrative in the intersection of AI and payments, with companies like Stripe, Visa, Coinbase, and Google making strategic moves. Concepts such as stablecoin microtransactions, x402, machine-to-machine settlements, and agentic e-commerce have been gaining momentum. However, the author discovered after actually building products, engaging with merchants and developers, that the true demand has not materialized at scale.
The article breaks down several typical scenarios: agentic shopping is not inherently better than traditional e-commerce in most categories, as users still require images, comparison, and browsing; machine API payments may seem suitable for stablecoin microtransactions, but most developers have already addressed this through subscriptions, prepaid credits, and existing billing systems; inter-agent payments, although a long-term vision, are currently in an early stage with a lack of real transaction volume.
Comparatively, agentic finance is one of the few directions with existing demand. Funds, treasury teams, and DeFi users are already paying for financial tools, and AI can provide tangible enhancements such as real-time monitoring and automated rebalancing. However, this market also favors traditional institutions that already possess licenses, compliance, and client relationships.
The author’s final verdict is: what the agentic economy truly lacks is not just a payment layer, but a more complex coordination ability — how to enable agents to collaborate with humans, validate task completion, and settle outcomes. Payment is just one piece of the puzzle. For incumbents, early positioning is a defensive choice; but for startups, the key is to identify existing markets that are ready.
Over the past year, I have been building infrastructure for the Agent economy and collaborating with teams advancing Agent businesses at Stripe, Visa, Coinbase, Google, and dozens of startups. I have navigated this space, launched products, and attempted to find true market fit. However, the reality is: the real demand has not yet emerged. For startups looking to enter this space, there are still many structural challenges.
Stripe unveiled 288 new products at last month’s Sessions conference, with Agent-related documentation now accounting for almost 40% of all documentation views. Its Agent Business Market has onboarded over 1,000 merchants. However, at the Sessions event, the actual number of Agents registered and completed transactions was only in the single digits.
Visa mentioned that its Agent token currently requires 3 to 9 months of KYC approval, and the basic requirement is that companies must have an annual revenue of at least $2.5 billion to qualify for access. Today, only companies at the level of Amazon and Walmart have the capability to close the identity verification loop.
Coinbase previously reported that as of April, there were 69,000 active Agents and 165 million transactions on x402. However, independent on-chain analysis shows that the actual daily transaction volume is around $17,000, with about half of it still being test transactions (CoinDesk, March 2026).
We built shop.fast.xyz with the goal of positively validating Agentive Commerce. Real products, real merchants, real transactions. However, for most product categories, the current AI shopping experience is clearly inferior to traditional e-commerce. When buying clothes, electronics, or furniture, users want to see pictures, browse options, and compare side by side. A chatbot-style conversation is a step backward: you replace a rich visual interface with a text conversation. Human shopping is first and foremost visual shopping.
The Agent performed well in the part we originally thought would be the most difficult. It can understand what users want and can handle requests like “something like this, but cheaper” very well. The model layer is effective. But it cannot replace the experience of “looking at ten products at once and then choosing one.” The chat interface can incorporate product carousels and interactive displays, but at that point, you are essentially rebuilding an e-commerce frontend within a chat window.
We did see demand on the merchant side, but this demand is more defensive. Merchants want their stores to be queriable by Agents, not because many consumers are already shopping through Agents today, but because they are concerned that if Agents become the mainstream channel in the future, they will be left behind. This is the so-called Agentic Engine Optimization opportunity, but it is currently only a “nice-to-have” rather than a “must-have.”
The true power of conversational commerce is in scenarios that are high-frequency, low decision cost, and where users already know what they want to buy. The clearest example is ordering food. However, major food delivery platforms do not provide open APIs. The only path is through computer use, meaning having AI interact with apps visually like a human. This process is slow, fragile, and simply does not justify the reasoning cost for a $15 lunch.
Another opportunity lies in online stores that are so complex that they truly frustrate users. For example, layers of discounts, promo codes, loyalty points, and a chaotic checkout process. An agent that can understand “Help me apply a coupon, redeem my points, find the cheapest shipping option, and complete the transaction in my language” could indeed streamline today’s already broken shopping experience.
We engaged with dozens of developers to understand their real payment needs. The pattern is nearly identical: Today’s agent APIs are essentially for recurring consumption, such as computational power, inference, and data sources. Developers are already accustomed to subscriptions, API keys, linked accounts, and billing relationships with core service providers.
The typical argument for stablecoin payments is that the effective lowest cost for credit card payments on Stripe is about 2.9% plus 30 cents, making API calls below $1 uneconomical. However, with low transaction volumes today, topping up balances can solve this issue. Developers pre-fund their accounts, eliminating this problem.
A deeper issue lies in the supplier market. Most large SaaS companies are not keen on offering disparate API access for a fraction of a cent. Their business model revolves around multi-year enterprise contracts. Companies reliant on large committed revenue will resist new pricing models that bypass this structure.
The Machine Commerce is structurally a long-tail market. It serves small services, vertical data sources, independent developers, MCP servers, and more. Protocols like MPP and x402 are well suited for this niche market. However, by definition, this is a market aimed at professional demand users; and developers have always been one of the least willing to pay groups.
Business between Agents is a long-term vision but is currently almost entirely theoretical. There is no significant transaction volume yet. The truly challenging parts are being driven by various startups, including Agent discovery, trust establishment, terms negotiation, and dispute resolution.
Once this transaction structure takes shape, it looks to be entirely different from the current payment rails. Neither party to the transaction has a human identity; latency requirements are less than a second; transaction amounts can range from a fraction of a cent to millions of dollars; and it will involve multi-party settlements, rather than the default bilateral buyer-seller model of existing payment rails.
One could argue Agent Finance is the only category with existing real demand. The customer already exists and is already paying. Fund managers, asset management teams, and DeFi users are already spending on financial tools today. Inserting AI into existing workflows is a natural product path. Agent Finance will also create entirely new behavior patterns. An Agent capable of autonomously monitoring and rebalancing hundreds of positions in real-time can operate in a way that humans cannot replicate manually.
The challenge lies in the competitive landscape. The financial industry is highly regulated and relies on existing relationships. Incumbents have licenses, compliance infrastructure, and customer relationships. Startups can enter lighter regulated areas like DeFi, look for slower-moving areas within incumbents, or find AI capabilities that can create new abilities that incumbents do not yet possess.
So, why is everyone still doing this? There are two reasons: the incentive structure and a cognitive blind spot. When your business is payments, every problem looks like a payment problem. Agent economics need a payment layer, so everyone goes to build a payment layer. However, payments are only a small part of a larger issue. The truly difficult problem is not about moving money between agents, but about how to coordinate between agents and humans, how to verify if things are done, and how to settle outcomes.
Large-scale coordination naturally leads to a need for settlement mechanisms. Payments will become one instrument in this symphony, not the composition itself. Companies truly addressing the coordination problem will ultimately incorporate payments into it, rather than having payment companies swallow coordination. Most existing incumbents are defensively building towards a future of “machine-scale transactions.”
But startups don’t have that luxury. We have to find out where the market really is right now. We can’t just wait for the wave to come. A year of building took us in an unexpected direction. There was indeed activity, and the growth was rapid, with underserved demand. It existed outside of the four categories we had mapped out.
[BlockBeats]
Agentic Payments: The Cold Reality After One Year of Hype
The agentic payments narrative has dominated discussions at the intersection of AI and blockchain over the past year, with major players like Stripe, Visa, Coinbase, and Google making significant strategic moves. Concepts such as stablecoin microtransactions, x402, machine-to-machine settlements, and agentic e-commerce have been hyped as the next frontier in digital transactions. However, a sober assessment from a builder deeply embedded in this ecosystem reveals a more nuanced reality: while the vision is compelling, actual market demand has failed to materialize at scale.
Market Reality vs. Hype
The data points provided paint a concerning picture for overenthusiastic investors. Despite Stripe’s impressive onboarding of over 1,000 merchants to its Agent Business Market, only single-digit numbers of Agents have registered and completed transactions. This discrepancy between marketing claims and real-world adoption is even more stark in Coinbase’s x402 ecosystem, where reported metrics of 69,000 active Agents and 165 million transactions collapse to a mere $17,000 in daily transaction volume—with half of that being test transactions.
This reality check should temper expectations for tokens specifically designed for agentic payments. The speculative valuations based on projected microtransaction volumes appear increasingly detached from current usage patterns. Projects positioning themselves as infrastructure for machine-to-machine settlements must now confront the uncomfortable truth that the market simply isn’t ready.
The Broken Commerce Experience
One of the most significant revelations is the inadequacy of current AI shopping experiences compared to traditional e-commerce. For most product categories—from clothing to electronics to furniture—users still require visual interfaces, comparison capabilities, and browsing options that chatbots cannot adequately replace. The fundamental human preference for visual shopping creates a structural limitation that pure-play agentic commerce solutions must overcome.
This has direct implications for tokens positioned as enablers of agentic e-commerce. The market opportunity may be significantly narrower than initially projected, limited to specific use cases where conversational interfaces add genuine value. For crypto investors, this means a more discerning approach is required when evaluating tokens in this space.
The Defensive Positioning of Incumbents
The observation that merchant demand is primarily defensive—businesses are making their stores queriable by Agents out of fear of being left behind rather than because of current consumer demand—reveals important strategic dynamics. This defensive positioning explains why payment incumbents are aggressively pursuing agentic payments: it’s less about capturing immediate revenue and more about maintaining relevance in a potential future paradigm shift.
For crypto-native projects, this defensive posture by incumbents creates both challenges and opportunities. On one hand, established players with existing infrastructure and relationships have significant advantages. On the other hand, their legacy systems may be ill-suited to the unique requirements of truly decentralized agent economies.
The API Payment Fallacy
The article debunks a key argument for blockchain-based micropayments—that credit card fees make transactions below $1 uneconomical. Developers have already solved this through subscriptions, prepaid credits, and existing billing systems. This challenges the fundamental thesis of many crypto payment tokens designed for microtransactions.
The supplier market dynamics further complicate the picture. Large SaaS companies resist new pricing models that bypass their enterprise contract-focused business models. This structural resistance suggests that machine commerce—while conceptually appealing—will remain a long-tail market with limited revenue potential, at least in the medium term.
Agent Finance: The Bright Spot
The article identifies Agent Finance as the only category with existing real demand. Fund managers, asset management teams, and DeFi users are already paying for financial tools, and AI can provide tangible enhancements such as real-time monitoring and automated rebalancing. This creates a clearer path to adoption and revenue generation for projects in this space.
For crypto investors, this suggests a more favorable risk-reward profile for tokens enabling AI-enhanced financial services compared to general agentic payment solutions. The existing demand in this vertical provides a stronger foundation for growth and token utility.
The Coordination Problem Trumps Payment
Perhaps the most insightful observation is that the agentic economy lacks not just a payment layer, but more complex coordination capabilities: how to enable agents to collaborate with humans, validate task completion, and settle outcomes. This reframes the entire debate around agentic infrastructure.
Payment is just one piece of a much larger puzzle. Projects that focus solely on payment rails while ignoring the broader coordination challenge may ultimately find themselves as components in a larger system rather than dominant platforms. For crypto projects, this means that the most valuable solutions will be those that address the fundamental coordination challenges of the agentic economy.
Implications for Crypto Investors
The sober reality of agentic payments has significant implications for crypto investors:
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Token Valuation: Tokens positioned purely for agentic micropayments face a more challenging adoption path than initially anticipated. Valuations should be adjusted downward to reflect current market realities.
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Project Selection: Projects that address the coordination problem beyond simple payments, particularly in Agent Finance, present more compelling investment cases.
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Market Timing: The agentic economy remains in early stages. Investors should prioritize projects with clear paths to near-term revenue rather than those dependent on speculative future adoption.
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Incumbent Advantage: Traditional players with existing licenses, compliance infrastructure, and customer relationships have significant advantages in regulated verticals like Agent Finance.
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Niche Opportunities: The most promising opportunities may lie in specific use cases where agentic solutions provide clear advantages over existing alternatives, such as simplifying complex e-commerce experiences.
Conclusion
The year-in-review of agentic payments reveals a market in the earliest stages of development, with significant hype but limited real-world adoption. While the vision remains compelling, investors must now distinguish between genuine market needs and speculative narratives. The most promising opportunities appear to be in Agent Finance and projects that address the broader coordination challenges of the agentic economy, rather than focusing narrowly on payment infrastructure.
As the market matures, the winners will likely be those who can identify existing markets that are ready for agentic solutions today, rather than those waiting for a future that may arrive more slowly than expected.