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x402

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Coinbase launches AiFi financial system: x402 has processed over 205 million transactions

Coinbase stated on the X platform that the financial layer surrounding AI agents is referred to as agent finance, or AiFi, which encompasses agent trading and agent commerce. AI agents can research information, make decisions, and execute operations on behalf of individuals and businesses, and they need to perform basic financial activities such as payments, receipts, value storage, and fund transfers. Coinbase claims that it is building tools for AI agents to continuously execute financial operations within predefined goals, permissions, limitations, and security boundaries.Coinbase indicated that Coinbase Advisor, Coinbase for Agents, x402, and Coinbase Business have formed the AiFi infrastructure. Coinbase Advisor is an SEC-registered investment advisor integrated into the app for Coinbase One users, providing portfolio analysis and guidance through a chat interface; Coinbase for Agents connects tools like Claude, ChatGPT, and Cursor to Coinbase accounts via MCP, allowing users to set operational conditions and security boundaries for agents, as well as create independent sandbox accounts for agent use.Coinbase stated that x402 is an open payment standard initiated by Coinbase and currently managed by an independent foundation, which supports AI agents in paying fees to other agents, applications, and services. As of now, x402 has processed over 205 million transactions, with a transaction volume of $53 million, covering 200,000 sellers, with Coinbase facilitating 67% of the activities. Single payments can be used for API calls, datasets, research materials, or computing resources.Coinbase indicated that Coinbase Business supports enterprises in natively receiving AI agent payments in USDC, and Coinbiz can help merchants sell services and content to software without relying on credit card credentials, manual invoicing, or payment processes designed with human customers in mind. Eligible businesses can earn a floating reward of 3.35% from idle USDC balances. USDC currently accounts for 99% of on-chain agent commerce transactions, while x402 represents 97% of agent finance protocol usage, with related activities operating on Base.

hot_img Visa and Artemis jointly released the Smart Payment Report: The x402 protocol processed $15 million in transactions in its first year, accelerating the arrival of the AI micro-payment era

Visa and the on-chain data analysis platform Artemis previously jointly released the report "Agentic Payments from the Ground Up," which quantifies the trends of AI agent payments based on real-time on-chain data. The report points out that intelligent commerce should be divided into macro transactions (AI agents completing bookings, subscriptions, etc., adapting to existing card systems) and micro payments (high-frequency small payments between machines, with individual transactions far below $1, which traditional payment structures struggle to support).The report focuses on two "machine-native payment" protocols: x402 (developed by Coinbase, Cloudflare, etc., launching in May 2025) with an adjusted transaction volume of approximately $15 million and 109.6 million transactions as of April 21, 2026, with 422,000 buyers and about 5,300 sellers, primarily concentrated on Base, Solana, and Polygon, settled in USDC; MPP (developed by Stripe and Tempo, with Visa's participation, launching in mid-March 2026) had a transaction volume of approximately $25,000 and 115,000 transactions within 33 days of launch, supporting both on-chain crypto payments and fiat settlements.The report believes that the leap in AI capabilities (with the release of Claude 4.5 and GPT Codex 5.2 in mid-2025) has created a demand for programmatic payments, combined with the decreasing costs of blockchain settlements, making micro payments in the range of 1 cent to 1 dollar economically viable for the first time. Currently, the boundaries between crypto-native protocols and card payment camps are gradually blurring, but agent payments still face trust challenges such as erroneous purchases, adversarial attacks, and liability attribution.
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