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Business · Cryptocurrency · published 2026-10-14 · via Hoka News / SEC Filing

Chainalysis: AI Agents Log 138 Million Crypto Payments, U.S. Wallets Lead AI Spending

Chainalysis reported that AI agents have made more than 138 million crypto payments through Coinbase's x402 protocol on Base. U.S.-linked wallets represented 88.1% of geographically identified AI inference spending, while China-linked wallets were 0.1%. The data points to growing automated crypto payments, though the report cautions that transaction counts may not reflect true commercial demand.

Expanded Detail

Chainalysis tracked over 138 million x402 payments on Base, a Coinbase-incubated protocol for machine-to-machine crypto payments. Its report found U.S.-linked wallets made up 88.1% of geographically identified AI inference spending, versus 0.1% for China-linked wallets. Most analyzed payments ranged from a hundredth of a cent to ten cents.

Chainalysis researcher Eric Jardine suggested Chinese developers may rely more on open-weight models such as DeepSeek and Qwen, lowering demand for billed inference. Coinbase now lets business customers accept AI-agent payments, and Visa, Mastercard, and Stripe have backed x402. Animoca's Yat Siu estimated up to 100 billion AI agents could transact online in coming years.

Count words. First para: Chainalysis(1) tracked2 over3 1384 million5 x4026 payments7 on8 Base9, a10 Coinbase-incubated11 protocol12 for13 machine-to-machine14 crypto15 payments16. Its17 report18 found19 U.S.-linked20 wallets21 made22 up23 88.1%24 of25 geographically26 identified27 AI28 inference29 spending30, versus31 0.1%32 for33 China-linked34 wallets35. Most36 analyzed37 payments38 ranged39 from40 a41 hundredth42 of43 a44 cent45 to46 ten47 cents48. Second: Chainalysis49 researcher50 Eric51 Jardine52 suggested53 Chinese54 developers55 may56 rely57 more58 on59 open-weight60 models61 such62 as63 DeepSeek64 and65 Qwen66, lowering67 demand68 for69 billed70 inference71. Coinbase72 now73 lets74 business75 customers76 accept77 AI-agent78 payments79, and80 Visa81, Mastercard82

Context

If automated crypto payments grow, AI developers, digital service providers, payment firms, and consumers could be affected. Sub-cent stablecoin transfers may make small data or compute purchases easier for software agents, potentially reducing manual billing steps. Yet the reported transaction count may overstate real commercial demand, so broader adoption may remain uneven. Greater machine-driven commerce could also raise questions about oversight, fraud, and access, though the scale and social effects are still uncertain. Count: If1 automated2 crypto3 payments4 grow5, AI6 developers7, digital8 service9 providers10, payment11 firms12, and13 consumers14 could15 be16 affected17. Sub-cent18 stablecoin19 transfers20 may21 make22 small23 data24 or25 compute26 purchases27 easier28 for29 software30 agents31, potentially32 reducing33 manual34 billing35 steps36. Yet37 the38 reported39 transaction40 count41 may42 overstate43 real44 commercial45 demand46, so47 broader48 adoption49 may50 remain

Expanded detail and Context are AI-generated analysis; the linked article remains the authoritative source.
Read the full article at Hoka News / SEC Filing →
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This summary is Al-enhanced to contain extended analysis and broader social context. The original is {NAME); the linked article is the authoritative source. Original headline: “AI Agents Record 138 Million Crypto Payments as US Dominates AI Model Spending.” Browse more stories.