When AI Starts Paying for Itself

marsbit發佈於 2026-03-04更新於 2026-03-04

文章摘要

The article "When AI Starts Paying for Itself" discusses the emergence of the x402 protocol, which enables AI agents to autonomously make micro-payments for services like data and computation. In 2025, Coinbase and Cloudflare revived the long-dormant HTTP 402 status code ("Payment Required") to create a seamless payment layer for the internet. The protocol allows an AI agent to receive a payment request, authorize it with a cryptographic signature, and complete the transaction in under a second—with no human involvement, accounts, or traditional banking infrastructure. Supported by low-cost Layer 2 blockchains and stablecoins, x402 processed over 100 million transactions within months. Its V2 update added multi-chain support and session-based authentication. Google later integrated a similar model into its Agentic Payments Protocol (AP2). However, trust between autonomous agents remains a challenge. ERC-8004, an Ethereum standard, addresses this by providing on-chain identity (via NFT-based IDs), reputation tracking, and task verification systems. The ecosystem faces risks: speculative "x402-themed" meme tokens have surged without real utility, technical vulnerabilities exist, and competing standards from Google and a16z threaten fragmentation. Furthermore, regulatory frameworks for AI-driven transactions are undeveloped. In summary, x402 and ERC-8004 aim to create a trustless, open economic network for AI agents—but must overcome technical, economic, and competitive h...

Author: Clow, Baihua Blockchain

An AI wrote a piece of code and needed data to verify it.

It sent an HTTP request, and the server returned a number: 402.

Then, it paid 0.001 USDC. In less than a second, the data came back.

This transaction had no account, no password, no bank card, no KYC. The entire process involved no human participation.

This is no longer science fiction. By the end of 2025, the x402 protocol had processed over 100 million such transactions; in the first 30 days of this year, another 15 million were added.

The "Payment Code" That Slept for Thirty Years

In 1990, the drafters of the HTTP protocol reserved a specific status code: 402, Payment Required.

The meaning is straightforward—"Payment is required to enter here."

But this status code was never officially used. It just hung there in the protocol documentation, dormant for thirty-four years.

The reason is simple: the first builders of the internet never imagined that machines would one day be the ones paying. Credit cards, bank accounts, KYC verification—these payment infrastructures were designed for humans and are completely ineffective against autonomously running code.

AI Agents need to call APIs, purchase data, and acquire computing power at millisecond speeds. The account registration and fee thresholds of traditional payments are a solid wall.

In 2025, three conditions aligned simultaneously.

The total supply of stablecoins surpassed $300 billion, with L2s like Base reducing single transaction costs to sub-cent levels; the AI Agent ecosystem, led by OpenAI and Anthropic, began large-scale commercialization; Coinbase engineers dug up that dusty 402 and decided to activate it.

In May 2025, Coinbase, jointly with Cloudflare, officially released the x402 protocol. In September, they collaborated with Cloudflare to jointly announce the establishment of the x402 Foundation. A forgotten status code returned to the center of the internet. Cloudflare manages roughly 20% of global web traffic—this meant x402 had no shortage of infrastructure entry points from day one.

Machines, For the First Time, Learned to Pay

The design of x402 is surprisingly simple.

An AI Agent initiates an HTTP request, the server returns a 402 status code along with the payment requirements: how much, which chain, which token. The Agent authorizes the payment using an EIP-712 encrypted signature, stuffs the payment information into the request header, and resends the request. The server verifies it and returns the resource.

The entire process takes less than a second. No account, no subscription, no API Key.

This turns "payment" into part of the internet. Like GET and POST, it's just an HTTP action. Any service can charge machines by adding a single line of middleware.

Data proves this logic works. About seven months after the protocol's release, it processed over 100 million transactions. According to the Cambrian Network Q1 2026 report, over 15 million transactions occurred in the past 30 days, from over 400,000 buyers and over 80,000 sellers. The AI Agent群体 from Virtuals Protocol is the largest single source of transactions; they use the protocol to autonomously settle collaboration fees among Agents.

On December 11, 2025, x402 V2 launched. This upgrade pushed the protocol from "usable" to "user-friendly": support for multiple chains like Base, Solana, and Avalanche operating in parallel; introduction of a Session mechanism (wallet becomes an identity credential, allowing repeated access without on-chain interaction each time); integration with ACH bank transfers and credit card networks—the payment systems of Web2 and Web3 were connected for the first time within this protocol.

Google subsequently integrated x402 into its Agent2Agent (A2A) protocol, releasing the Agentic Payments Protocol (AP2); machines paying is becoming an infrastructure consensus among large tech companies.

Trust is the First Hurdle of the Agent Economy

The payment problem is solved, but an even more fundamental question remains unanswered.

"Commerce can’t happen if people don't trust each other."

Davide Crapis, AI Lead at the Ethereum Foundation and one of the co-drafters of ERC-8004, directly pointed out the core obstacle of the Agent economy: When an AI Agent needs to hire another Agent to complete a task, how does it know the other party isn't a scammer? Where is the transaction record? How is reputation transferred?

ERC-8004 is Ethereum's answer to this question. Drafted in August 2025, it officially launched on the Ethereum mainnet on January 29, 2026. It establishes three lightweight registries on-chain:

  • Identity Registry: Each Agent gets an on-chain ID based on an ERC-721 NFT, portable, transferable, and verifiable across chains. An AgentCard (JSON format) records capabilities, endpoints, and x402 payment support status;
  • Reputation Registry: Feedback signals between Agents are archived on-chain—accuracy, timeliness, reliability scores. Only indices are kept on-chain, with data hashes pointing to off-chain storage to reduce Gas costs;
  • Verification Registry: After task completion, the result data hash is put on-chain requesting verification, giving "whether the task was truly completed" cryptographic provability.

The drafting team spanned four major crypto ecosystems: Marco De Rossi from MetaMask, Davide Crapis from the Ethereum Foundation, Jordan Ellis from Google, and Erik Reppel from Coinbase. EigenLayer, ENS, The Graph, and Taiko have all expressed support. Less than a month after the mainnet launch, registered Agents on Ethereum mainnet surpassed 24,000, with about 49,000 across all EVM chains combined.

A typical workflow looks like this: Agent A discovers a service provider through the ERC-8004 identity registry, filters the reputation registry to choose a high-scoring Agent B, completes the payment using x402, and attaches payment records with reputation feedback after the task ends—payment history becomes an anchor of credit. This chain is what Cambrian Network calls the "Agent Economy Operating System": payment + identity + reputation, three layers combined.

How Deep Are These Waters?

The data looks good, but a few things need clarification.

Tokens and protocols are two different things.

The ecosystem token related to x402 reached a market cap of over $9 billion on CoinGecko, with daily trading volume exceeding $230 million. But many of these "x402 concept tokens" are Meme tokens with no substantive binding to the protocol itself. Buying an x402-related Token is not the same as buying into the growth of the x402 protocol. This market has always been good at mixing narrative and reality, and this time is no exception.

Technical risks remain unresolved.

x402's EIP-712 signature mechanism requires continuous security audits. The ERC-8004 reputation registry faces the threat of Sybil attacks—batch registration of fake identities—and the current economic incentive mechanisms are not yet perfect. There is an economic tension between high-frequency micropayments (e.g., $0.0001 per transaction) and L2 fees (which can still reach $0.05); extremely small transactions can still be eaten up by fees at this stage.

The protocol war is not over.

x402, Google's AP2, and a16z's ecosystem ACP, three sets of protocols coexist. If developers split between these three standards, network effects will be significantly diluted. Furthermore, OpenAI and Anthropic could completely bypass on-chain protocols and build their own closed-loop payment systems—they have users, data, and scale advantages, which is competitive pressure x402 cannot ignore.

The regulatory landscape is another blank slate. For a payment autonomously initiated by an AI Agent, who is the transaction主体? Where is the trigger point for KYC/AML responsibility? No major jurisdiction has provided a definitive answer.

Summary

Someone once said something fitting to quote here: "Inscriptions in 2023 allowed humans to engrave value onto the chain; x402 in 2025 allowed machines to autonomously pay for value on the network for the first time."

If HTTP connected global computers into an information network, the combination of x402 and ERC-8004 attempts to connect billions of Agents into an open service and data market—no account needed, no approval needed, just one request, one payment, one result.

However, whether the protocol can prevail in fragmented competition, whether the trust mechanism can be truly perfected, whether the Agent economy can move from demo to real business... these are still open questions.

Before the narrative lands, distinguishing between "the value of the protocol" and "the tokens炒作 around the protocol" is perhaps the most important thing for every participant to figure out.

相關問答

QWhat is the x402 protocol and what problem does it solve?

AThe x402 protocol is a system that enables AI agents to autonomously make micropayments for services like data access or computational resources via HTTP requests. It solves the problem of traditional payment systems (requiring accounts, passwords, credit cards, KYC) being incompatible with machine-to-machine transactions by integrating payment as a native HTTP action, allowing for seamless, account-less transactions in under a second.

QWhat historical internet standard did the x402 protocol revive and why was it unused for decades?

AThe x402 protocol revived the HTTP 402 status code, 'Payment Required,' which was defined in 1990 but never officially used. It remained dormant for over three decades because the early internet was built for human users, and the existing payment infrastructure (credit cards, bank accounts, KYC) was not designed for autonomous machines or AI agents.

QHow does the ERC-8004 standard complement the x402 protocol in the AI agent economy?

AERC-8004 establishes a trust layer for the AI agent economy by providing on-chain registries for agent identity (via NFT-based IDs), reputation (storing performance metrics and feedback), and task verification (cryptographic proof of completion). It complements x402 by enabling agents to discover reliable service providers, verify their credibility, and use x402 for payment, creating a combined system for payment, identity, and reputation.

QWhat are some challenges and risks associated with the x402 protocol and ERC-8004?

AChallenges include technical risks like the need for ongoing security audits of EIP-712 signatures, susceptibility to Sybil attacks on reputation systems, and the economic tension between micropayment values (e.g., $0.0001) and layer-2 transaction fees (e.g., $0.05). Additionally, there is protocol competition (e.g., from Google's AP2 and a16z's ACP), potential fragmentation among developers, and unresolved regulatory questions regarding KYC/AML responsibilities for autonomous AI transactions.

QWhat real-world adoption and transaction volume has the x402 protocol achieved according to the article?

ABy the end of 2025, the x402 protocol processed over 100 million transactions. In the first 30 days of 2026, it handled an additional 15 million transactions, with over 400,000 buyers and 80,000 sellers. Virtuals Protocol's AI agents were the largest single source of transactions, using x402 for autonomous settlement of collaboration fees among agents.

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DUOLINGO AI:將語言學習與Web3及AI創新結合 在科技重塑教育的時代,人工智能(AI)和區塊鏈網絡的整合預示著語言學習的新前沿。進入DUOLINGO AI及其相關的加密貨幣$DUOLINGO AI。這個項目旨在將領先語言學習平台的教育優勢與去中心化的Web3技術的好處相結合。本文深入探討DUOLINGO AI的關鍵方面,探索其目標、技術框架、歷史發展和未來潛力,同時保持原始教育資源與這一獨立加密貨幣倡議之間的清晰區分。 DUOLINGO AI概述 DUOLINGO AI的核心目標是建立一個去中心化的環境,讓學習者可以通過實現語言能力的教育里程碑來獲得加密獎勵。通過應用智能合約,該項目旨在自動化技能驗證過程和代幣分配,遵循強調透明度和用戶擁有權的Web3原則。該模型與傳統的語言習得方法有所不同,重點依賴社區驅動的治理結構,讓代幣持有者能夠建議課程內容和獎勵分配的改進。 DUOLINGO AI的一些顯著目標包括: 遊戲化學習:該項目整合區塊鏈成就和非同質化代幣(NFT)來表示語言能力水平,通過引人入勝的數字獎勵來激發學習動機。 去中心化內容創建:它為教育者和語言愛好者提供了貢獻課程的途徑,促進了一個有利於所有貢獻者的收益共享模型。 AI驅動的個性化:通過採用先進的機器學習模型,DUOLINGO AI個性化課程以適應個別學習進度,類似於已建立平台中的自適應功能。 項目創建者與治理 截至2025年4月,$DUOLINGO AI背後的團隊仍然是化名的,這在去中心化的加密貨幣領域中是一種常見做法。這種匿名性旨在促進集體增長和利益相關者的參與,而不是專注於個別開發者。部署在Solana區塊鏈上的智能合約註明了開發者的錢包地址,這表明對於交易的透明度的承諾,儘管創建者的身份未知。 根據其路線圖,DUOLINGO AI旨在演變為去中心化自治組織(DAO)。這種治理結構允許代幣持有者對關鍵問題進行投票,例如功能實施和財庫分配。這一模型與各種去中心化應用中社區賦權的精神相一致,強調集體決策的重要性。 投資者與戰略夥伴關係 目前,沒有與$DUOLINGO AI相關的公開可識別的機構投資者或風險投資家。相反,該項目的流動性主要來自去中心化交易所(DEX),這與傳統教育科技公司的資金策略形成鮮明對比。這種草根模型表明了一種社區驅動的方法,反映了該項目對去中心化的承諾。 在其白皮書中,DUOLINGO AI提到與未具名的「區塊鏈教育平台」建立合作,以豐富其課程提供。雖然具體的合作夥伴尚未披露,但這些合作努力暗示了一種將區塊鏈創新與教育倡議相結合的策略,擴大了對多樣化學習途徑的訪問和用戶參與。 技術架構 AI整合 DUOLINGO AI整合了兩個主要的AI驅動組件,以增強其教育產品: 自適應學習引擎:這個複雜的引擎從用戶互動中學習,類似於主要教育平台的專有模型。它動態調整課程難度,以應對特定學習者的挑戰,通過針對性的練習加強薄弱環節。 對話代理:通過使用基於GPT-4的聊天機器人,DUOLINGO AI為用戶提供了一個參與模擬對話的平台,促進更互動和實用的語言學習體驗。 區塊鏈基礎設施 建立在Solana區塊鏈上的$DUOLINGO AI利用了一個全面的技術框架,包括: 技能驗證智能合約:此功能自動向成功通過能力測試的用戶頒發代幣,加強了對真實學習成果的激勵結構。 NFT徽章:這些數字代幣標誌著學習者達成的各種里程碑,例如完成課程的一部分或掌握特定技能,允許他們以數字方式交易或展示自己的成就。 DAO治理:持有代幣的社區成員可以通過對關鍵提案進行投票來參與治理,促進一種鼓勵課程提供和平台功能創新的參與文化。 歷史時間線 2022–2023:概念化 DUOLINGO AI的基礎工作始於白皮書的創建,強調了語言學習中的AI進步與區塊鏈技術去中心化潛力之間的協同作用。 2024:Beta發佈 限量的Beta版本推出了流行語言的課程,作為項目社區參與策略的一部分,獎勵早期用戶以代幣激勵。 2025:DAO過渡 在4月,進行了完整的主網發佈,並開始流通代幣,促使社區討論可能擴展到亞洲語言和其他課程開發的問題。 挑戰與未來方向 技術障礙 儘管有雄心勃勃的目標,DUOLINGO AI面臨著重大挑戰。可擴展性仍然是一個持續的擔憂,特別是在平衡與AI處理相關的成本和維持響應靈敏的去中心化網絡方面。此外,在去中心化的提供中確保內容創建和審核的質量,對於維持教育標準來說也帶來了複雜性。 戰略機會 展望未來,DUOLINGO AI有潛力利用與學術機構的微證書合作,提供區塊鏈驗證的語言技能認證。此外,跨鏈擴展可能使該項目能夠接觸到更廣泛的用戶基礎和其他區塊鏈生態系統,增強其互操作性和覆蓋範圍。 結論 DUOLINGO AI代表了人工智能和區塊鏈技術的創新融合,為傳統語言學習系統提供了一種以社區為中心的替代方案。儘管其化名開發和新興經濟模型帶來某些風險,但該項目對遊戲化學習、個性化教育和去中心化治理的承諾為Web3領域的教育技術指明了前進的道路。隨著AI的持續進步和區塊鏈生態系統的演變,像DUOLINGO AI這樣的倡議可能會重新定義用戶與語言教育的互動方式,賦能社區並通過創新的學習機制獎勵參與。

412 人學過發佈於 2025.04.11更新於 2025.04.11

什麼是 DUOLINGO AI

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