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AI Agents Spending Money Online? New Research Says Not Really

AI Agents Spending Money Online? New Research Says Not Really

Decryptby Decrypt
13 September 2026
In brief TRM examined roughly $52.7 million across 198.9 million x402 settlements. Screening out self-payments and other anomalous flows left $25.62 million in likely commerce. Agents accounted for a small share under TRM’s models, which cannot conclusively distinguish them from scripts. Most payment volume on Coinbase’s x402 protocol isn’t coming from AI agents, according to blockchain intelligence company TRM Labs.TRM’s…

In brief

  • TRM examined roughly $52.7 million across 198.9 million x402 settlements.
  • Screening out self-payments and other anomalous flows left $25.62 million in likely commerce.
  • Agents accounted for a small share under TRM’s models, which cannot conclusively distinguish them from scripts.

Most payment volume on Coinbase’s x402 protocol isn’t coming from AI agents, according to blockchain intelligence company TRM Labs.

TRM’s report, published Wednesday, examined $52.7 million across 198.9 million settlements processed by known x402 facilitators on Base, Solana, and Polygon since May 2025. After excluding self-payments and other anomalous flows, researchers estimated that just 0.6%–7.5% of the remaining commerce by value appeared to come from AI agents.

Myriad: Bitcoin price next move? Click to make your prediction.
Myriad: Bitcoin’s next move? Click to make your prediction.

“The assumption is that a true agent explores across multiple services and products, while an address repeating the same price behaves more like a script hitting one service over and over,” the report said. “This is a deliberate modeling choice, and it may understate the space: many agents today could be single-purpose, paying one service repeatedly, which this test would read as a script.”

Launched by Coinbase in 2025, x402 integrates payments into web requests. The buyer receives a price and signs a payment authorization; a facilitator verifies it, submits the blockchain transaction, and pays the network fee.

According to TRM Labs, an ordinary script can follow that sequence without an AI agent. Scheduled jobs, load tests, and self-dealing can also produce the same blockchain records, making protocol totals insufficient to measure agent commerce.

TRM removed self-payments, bulk flows from one or two payers, and sellers with fewer than 10 buyers, leaving $25.62 million in likely commerce. It then screened for facilitator-broadcast payments with varying amounts averaging under $1. A stricter test required that pattern across months, plus public agent registration or payments to multiple sellers. TRM cautioned that these criteria could miss genuine agents repeatedly buying the same service.

In late 2025, activity included apparent meme-token minting and payments to one AI-analysis service. Volume concentrated in a single payment contract in early 2026, before AI-service payments returned through an agent-payment router around midyear. Across the full period, USDC accounted for 99.6% of settled value, or $52.47 million.

BitcoinBTC · USD

$76,733−3.88%

Sep 6Sep 8Sep 10Sep 11Sep 13

$80.3k$79.1k$77.8k$76.6k

24h HighHigh$77,479

24h LowLow$76,516

VolVol$565.6M

Market projectionsOdds by Myriad

Companies have continued investing in agent payments. Binance’s August Agent OS launch included an x402 payment layer, while Coinbase’s Base targeted agent and payments startups through its $1 million accelerator. Amazon announced AgentCore Payments with Coinbase and Stripe in May, enabling agents to pay for online services with stablecoins.

Beyond measuring usage, TRM identified gaps in assigning responsibility for agent payments.

“On-chain agent registries let individuals declare ownership of an agent address,” TRM Labs wrote. “However, this declaration is voluntary and currently not utilized by the majority of participants.”

TRM called for more accurate registration, counterparty reputation information that agents can check, and monitoring suited to large numbers of small payments.

“The rail already works. What is needed is accurate registration, counterparty reputation an agent can check on its own, and monitoring built for volume rather than value,” they wrote. “Agentic commerce will need agentic compliance.”

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