Where are agent payments going?
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How agents pay, and how much they pay today
Over the past year Coinbase, Stripe, Google, Visa and Mastercard have each shipped a way for AI agents to pay. Most of what has been written about it is announcements and forecasts, with few numbers on what actually settles. This essay puts the two side by side.
It defines what an agent and an agent payment are, walks through the rails being built, measures how much money really moves today and how much of it is real, then looks at where it could go. Every figure links to the passage it comes from, and the short version is in the TL;DR at the bottom.
What do we understand by agents?
Say "agent" today and most people picture a chatbot. But an agent is anything that perceives, decides and acts on someone's behalf without asking at every step. A language model with tools is one. So is a robotaxi.
The form changes. The payment questions do not: who does it act for, what may it spend, and can the other side check both?
What do we understand as a payment?
Strip a payment down and it needs a payer, a payee, a unit of value both accept, and a way to move it. For a person, a bank handles all of that. An agent has no bank account of its own, so it borrows one of two rails: a card the bank issues just for it, or a stablecoin wallet. Either way it needs three things.
Holds the money and signs for the agent, inside limits a human sets. On cards it is a token the bank issues for that one agent; on stablecoins, a wallet the agent controls.
Card dollars that settle days later through the networks, or stablecoins: dollars on a blockchain that a program can move in seconds for a fraction of a cent.
On cards the banks already do this. On stablecoins, on-ramps turn bank money into stablecoins for the agent to spend and off-ramps turn the seller's earnings back into bank money.
What counts
Not every automated payment is an agent payment
Software has paid bills on its own for decades. For the rest of this article, an agent payment is one where an AI decides, at the moment of paying, what to buy, from whom and for how much, inside limits a person set. A rule written in advance does not count, however fast it runs.
Not an agent payment
A person decides, at the moment
Approving payroll. Signing a supplier contract. Tapping a card at a till.
Not an agent payment
A rule decides, written in advance
Autopay. A scheduled payout. An FX hedge. High frequency trading.
Agent payment
An AI decides at the moment, inside limits a person set
An assistant books and pays for a trip under a $500 budget. A coding agent buys an API call it chose.
Agent payment, and a new one
An AI pays for something no person or rule would have set up
A robotaxi pays a charging dock per kWh. An agent pays another agent for a subtask.
What connects them
Seven questions, five protocols
An agent with a wallet still cannot pay a service on its own. Something has to say who the agent is, what it may buy, and how the money is asked for and sent. That layer is ERC-8004, x402, MPP, AP2 and ACP, and each covers a different part of the job.
A card payment answers all seven inside one network. For agents, each layer is being rebuilt by a different group, and no protocol covers the whole stack. Pick one to see which layers it takes on.
- Backed by
- Coinbase, now the x402 Foundation at the Linux Foundation (40 founding members incl. Visa, Mastercard, Stripe, Google, AWS)
- Since
- May 2025
- What it does
- A server answers "402, pay first" with a price. The agent signs a stablecoin transfer and retries. A facilitator settles it on chain.
- Backed by
- Stripe and Tempo
- Since
- Mar 2026
- What it does
- Challenge, credential, settle. Adds sessions: an agent streams signed vouchers against one deposit and settles once. Works over stablecoins and cards.
- Backed by
- Google, with 60+ launch partners incl. Mastercard, AmEx, PayPal, Coinbase
- Since
- Sep 2025
- What it does
- Signed mandates that prove a human authorised what the agent buys. Payment agnostic: cards, bank transfers, or x402 for stablecoins.
- Backed by
- OpenAI and Stripe
- Since
- Sep 2025
- What it does
- A shared checkout so an assistant can buy from a merchant without leaving the chat. Paid with a scoped card token.
- Backed by
- The card networks, with Cloudflare, Adyen, Stripe
- Since
- Apr 2025
- What it does
- Agents get their own tokenised cards and a signature that tells merchants a trusted agent, not a bot, is at checkout.
How much actually moves?
Transaction counts say one thing. Dollars say another. Follow the money from launch to today.
Coinbase publishes x402, an open standard that finally puts HTTP status 402 to work. For five months almost nothing happens.
PING lets anyone mint a token by paying 1 USDC over x402. Weekly transactions jump more than 10,000% in a single week.
Nearly 69 million transactions in a month. Much of it is a single fleet paying itself, plus operators farming for expected rewards.
The largest facilitator starts charging a tenth of a cent per settlement on 1 January. The curve registers its biggest sustained fall, and flattens.
x402scan counts 236 million x402 transactions and $56.6M settled to 30 October. Other trackers land either side: 195.8M and $42.3M at agenteconomy, 279.7M and $58.3M on Token Terminal's undated page. None of them says it removes wash trades. Visa and Artemis do, along with tests, and count 109.6M worth about $15M, but only through 21 April.
By protocol
Only one of them publishes enough to chart
x402 settles on public chains, so anyone can count it. The others run through private systems and have released launch partners, not volumes.
Who is paying whom
Most of the volume never changes hands
A payment count is easy to inflate when someone else covers the gas. So I followed the money through the one study that traced every x402 payment on Base.
Between September 2025 and June 2026, agents made 136.7 million x402 payments on Base, worth $44 million. It is the number quoted whenever someone says the agent economy has arrived.
A July study by Ling, Wang, Zhou and Wu traced every one of them. I rebuilt its results square by square.
Wallets sending money to themselves, or around a closed loop and back. Onchain that is a valid payment, but nothing is bought: it is like moving €10 from your current account to your savings and back.
One fleet alone produced 27 million payments in November, then stopped within two seconds.
The remaining 15% has no clear owner. The study's behavioural model flags nine in ten of those as manufactured too: flat around the clock, no daily rhythm of real users.
By value, more than half of all the money was a wallet paying itself.
How a payment gets faked
Six ways to inflate a payment count
None of this is theft. It is what happens when the number everyone quotes is a count of transactions and sending one costs almost nothing. Each pattern below is documented.
Pay to mint
In late 2025 PING let anyone mint a meme coin by paying 1 USDC over x402, and every mint counted as an agent payment. Weekly transactions jumped more than 10,000%.
Wallets paying themselves
A wallet sends money to itself or around a loop. One fleet made 27 million payments in November, and Bitquery removed two loops that made 83% of August's.
One operator on both sides
Payer and seller are different wallets funded by the same person: 64% of all payments on Base. It looks like commerce and moves nothing.
Farming for rewards
Operators push counts up hoping for an airdrop, points or a leaderboard spot. The payment buys a lottery ticket, not a service.
Free to send
Facilitators paid the gas, so faking a payment cost nothing. When fees of a tenth of a cent started in January 2026, the curve had its biggest sustained fall.
Still happening
In one September week on Base, 44% of the value was known looping. Between 7 and 9 September daily transactions fell from over a million to under 100,000.
The real market
From 236 million payments to 1,300 sellers
Strip out the loops and the test traffic and a real market is still there: small, but growing, with sellers who come back every month.
Its backers say as much. Franklin Templeton's crypto team, arguing that these rails suit agents best, writes of onchain agent finance: "Most of this activity serves traders and crypto-native users today."
These are not the stages of one funnel. Each count comes from a different source, window and unit, labelled under each bar. Together they show how fast the number shrinks once you ask who is really selling.
Share of all payments
A hairline inside a sliver
Who settles it
USDT holds most stablecoins. USDC settles almost every agent payment.
Tether issues six in ten stablecoin dollars, yet 99 in 100 agent payment dollars moved in USDC in July, and 99 in 100 on Base in October. The money that agents use is decided by which issuer runs the facilitators, marketplaces and chains, not by which coin is biggest.
- Base42%
- Solana34%
- Algorand15%
- Polygon9.7%
- USDC99%
- Everything else0.7%
- USDT61%
- USDC24%
- Other15%
One company, every kind of payment
Uber in the era of agentic payments
The rails will follow demand. Visa and Mastercard will support agent payments the day there is a use for them. The real question is which payments a business would actually hand to an agent, so take one company that moves money in every direction.
Uber took $193 billion of bookings in 2025 across more than 70 countries, and paid most of it back out to drivers, couriers and restaurants. Here are sixteen of its payments, sorted with the test from the start of this article: who decides, and when.
Illustrative. The payments are real kinds of payment; where they land is my judgement.Leases, insurance, tax and the incentive budget are decided by people and signed by people. Nobody hands a lease negotiation to an agent with a wallet.
Charging the rider's card, paying drivers every week, surge pricing and fraud holds run on rules engineers wrote years ago. More than 75% of bookings are paid by card or digital wallet. That is automation, not agent payments, and it moves the bulk of the money.
A payment changes colour only when a model starts deciding at the moment of paying, inside limits someone set. Uber hedges currency risk with derivative contracts today, on a policy set in advance, with $3.7B of its $7.1B cash held abroad. A treasury agent would read the news and rebalance within limits instead.
So would a courier's agent that cashes out in stablecoins when the rate is right, refunds settled within policy, and an assistant that books and pays for the ride.
Once the buyer is a machine, new payments appear. A rider's agent pays Uber's dispatch agent, a robotaxi buys its own charge, a delivery robot pays a building to open the door.
These only exist if someone outside Uber says yes. A robotaxi charging at an Uber depot is an internal cost, not a payment. It becomes one at another company's charging station, a building's door or a remote driver's console, and that needs thousands of counterparties to accept machine payments first.
Count dollars and the picture tilts back. Almost everything Uber moves today sits in the first two colours. The agent columns are where growth would come from, if the demand shows up.
Visa alone runs about 700 million payments a day. Agents run about 140 thousand.
Every square here is drawn to scale by area.
Beyond one company
Uber is a network. Agents could build many more.
Uber is worth more than its payments. Every driver who joins makes the app better for riders, and every rider gives the next driver a reason to join. That network effect exists because the request is simple: a ride from here to there.
Agents could carry the same effect to requests too complicated to match today. A buyer's agent states the limits, sellers' agents compete with offers, and the agent books inside those limits. Guy Wuollet, an investor at a16z, lists where he expects it: group dinners and travel, business procurement, compute, dispute resolution, and drones and devices selling services to each other. In his words, "Most networks have been built for humans. We need them for machines."
Each of those networks needs a payment the agent can make and the seller can trust.
Where could this go?
Nobody knows. But the shape of the possible futures is already visible, and so are the kinds of payments that do not exist yet. Franklin Templeton's crypto team sums up what would change for a person: "Today, the user is the integration layer."
Consultancies, banks and analyst houses have all published how big agent payments will get. Most of them count something broader than this essay does. So start with the narrowest forecast, and widen from there.
Four Pillars, a crypto research firm, modelled how much agents themselves could pay over x402 by 2028, with input from one of x402's authors at Coinbase. It is the only forecast I found that counts what this essay counts: payments an agent decides and sends.
A scenario model, not a measurement. The lines after 2028 are my own illustrative extension.Agents mostly buy data, search and inference by the call, inside companies. About $186B a year by 2028. Big for crypto, still a rounding error for payments.
Agents restock inventory, book freight and pay suppliers within a budget. About $686B a year, nearly twice what stablecoins carry in real payments today.
Agents decide what to buy to reach a goal, and pay other agents, robots and vehicles for every step. About $1.9 trillion a year by 2028.
Morgan Stanley ($190B to $385B) and Bain ($300B to $500B) forecast US goods bought through agents by 2030. That includes a person approving the checkout, and most of it is paid by card. An agent helped, but it did not necessarily pay.
Juniper ($1.5T), Edgar Dunn ($2.9T) and McKinsey ($3T to $5T) count purchases agents start, influence or orchestrate around the world. These are shopping numbers, and the payment usually still runs through a card a person owns.
Gartner expects agents to sit in the middle of $15T of business buying by 2028. That means an agent took part in the purchase somewhere, not that it paid. It is also the number Four Pillars' model starts from.
The wide lines are the prize. The narrow ones are what actually settles as an agent payment, in stablecoins or anything else. The gap between them is the market the payment rails are still competing for.
Turn the lines on and off with the tags on the right. Broader lines start from Juniper's 2026 estimate of $8B; none of these forecasts publishes a path.New markets
What machines might pay each other for
Every few decades finance invents a market that did not exist the year before. Grain futures in 1865, the ETF in 1993, credit default swaps a year later. a16z crypto charted them, and the dots keep getting closer.
From the AMM in 2018 to tokenised perpetuals in 2026, the newest markets exist because anyone can deploy one without an exchange's permission.
When the buyer is a program and settlement costs a tenth of a cent, a market can exist for one sensor reading, one second of GPU time or one kilowatt. Those trades were always too small for a human to bother with, so the markets never existed.
Today agents pay for data, search and inference by the call. Next come machines paying machines. After that come markets nobody can list yet.
Agents already pay for data, search, inference and spare GPU time by the call. These listings exist now in x402 catalogs and agent marketplaces.
As models move onto robots and cars, machines start paying each other: a dock by the kilowatt, a door by the access, a remote driver by the minute.
The obvious things autonomous agents will pay for are the ones they run on: memory, electricity and compute. What they buy beyond that, nobody can list yet, the same way nobody in 1865 could have listed the ETF.
What is still broken
Six problems between the rails and the traffic
The forecasts assume these get solved. None of them is a missing protocol. They are questions of who is accountable, and nobody has had to answer them while a person approved every payment.
Nobody can see who paid
An agent holding a card looks like a person at checkout, and a person can pay over x402. So the counts in this essay measure a rail, not agents. Even the card networks find it harder to tie a purchase back to the end user when an agent pays with a card issued for it.
Nobody knows who is liable
When an agent pays the wrong party or the wrong amount, it is not settled whether the user, the agent's maker, the merchant or the bank carries the loss. Simon Taylor's summary of this autumn: "liability isn't figured out", bank tokenisation is not scaling, and some large merchants block agents.
A payment that cannot be undone
A card payment can be disputed and charged back. A stablecoin transfer is final the moment it settles. Nothing in x402 says how a wrong payment is returned, so recovery is left to each seller's goodwill.
A limit is not judgment
A wallet can enforce a budget so that an overspend "simply doesn't go through". It cannot tell that the agent booked the wrong dates. Staying inside the limit and buying the right thing are different problems, and only the first is solved.
The standards are thin
x402 defines how to ask for money and how to send it. Two services that both speak it still have to agree on the asset, the chain and the facilitator before a payment goes through. Mastercard says agent payments need trust in the payment, the agent and the ecosystem, and no open standard covers all three.
Only the buyer has an agent
Almost everything shipped so far helps an agent buy. The seller still handles stock, delivery, cancellations and refunds by hand. In the words of one operator who sells to merchants, "the gap remains until the seller side becomes agentic too".
The rails are laid. The traffic is not here yet.
Every major payments company now has an agent protocol, and almost none of them publish usage. What does exist is small, concentrated and often synthetic. That is normal for infrastructure built ahead of demand: charging stations follow the cars, not the other way round.
The part worth watching is the moment of choice. When a robot fleet, an inference market or a procurement agent picks the money it settles in, it rarely switches later. The rails that are there when that happens will carry what comes after.
Where agent payments are going, in seven lines
- An agent payment is one where an AI decides, at the moment of paying, what to buy, from whom and for how much, inside limits a person set. Autopay and high frequency trading are automation, not agent payments.
- The rails exist. x402, MPP, AP2, ACP and the card networks' agent programmes all launched in the last eighteen months.
- The money mostly does not. x402 shows $56.6M settled since launch on the raw count and about $1.5M in October 2026. The filtered count from Visa and Artemis is $15M, through April. Most of it never changes hands: wallets paying themselves or an operator paying its own wallets. The payments provably made for a real service are under half a percent.
- The protocols that publish nothing show no sign of hiding a large market. Visa reports "hundreds" of agent transactions, Mastercard reports growth rates without a figure, and ChatGPT's checkout was scaled back.
- Where volume exists, USDC settles almost all of it, because its partners run the facilitators, not because it is the biggest stablecoin.
- In a business like Uber, almost all the money is still decided by people or by rules. The agent columns are where growth would come from.
- The near term is small. The demand that fills these rails is more likely to be machines paying machines than assistants doing our shopping, and the money chosen at that moment will be hard to switch.
Transaction counts differ widely between trackers depending on which chains, facilitators and filters they use. Where they disagree I lead with the largest count I can date and put the filtered figure beside it. Every number on the page links to the passage it comes from. Live dashboards cannot link to a fixed date, so the x402scan and agenteconomy figures link to dated snapshots of their data, published alongside this article. Paths beyond 2028 in the futures chart are my illustrative extensions of the Four Pillars scenarios, not forecasts. The new payment types are my speculation.
- Ling, Wang, Zhou, Wu, "How Agentic Is Agentic Commerce?", arXiv 2607.12575, Jul 2026
- Visa and Artemis, "Agentic payments from the ground up", Jul 2026
- Bitquery, "The x402 protocol moved $2.6 billion last month", Sep 2026
- Chainalysis, "Agentic Payments Cross the Threshold", Jun 2026
- Four Pillars, "All About x402", Sep 2026
- agenteconomy.to and Token Terminal agentic payments explorer, read 31 Oct 2026
- Circle, "Building the Open Agentic Economy", Aug 2026
- McKinsey Global Payments Report; McKinsey and Artemis on stablecoin payments, 2026
- Visa FY2025 annual report; Mastercard 2025 results
- a16z crypto, "160 years of net new markets", Sep 2026
- x402scan API snapshot to 30 Oct 2026 (raw daily data, published here)
- agenteconomy.to data snapshot, last updated 31 Oct 2026 (published here)
- Uber Technologies, Form 10-K for 2025
- Morgan Stanley, Bain and McKinsey agentic commerce forecasts, 2025
Nicolas Arnedo · September 2026, numbers updated 31 October 2026