A402: Bridging Web 3.0 Payments and Web 2.0 Services with Atomic Service Channels
- URL: http://arxiv.org/abs/2603.01179v1
- Date: Sun, 01 Mar 2026 16:45:22 GMT
- Title: A402: Bridging Web 3.0 Payments and Web 2.0 Services with Atomic Service Channels
- Abstract summary: We present A402, a trust-minimized payment architecture that securely binds Web 3.0 payments to Web 2.0 services.<n>A402 incorporates a TEE-based Liquidity Vault that privately manages the lifecycle of ASCs and aggregates their settlements into a single on-chain transaction.<n>Our results show that A402 delivers orders-of-magnitude performance and on-chain cost improvements over x402 while providing trust-minimized security guarantees.
- Score: 14.234772345560645
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The rapid proliferation of autonomous AI agents is driving a shift toward Machine-to-Machine (M2M) commerce, where software agents are expected to autonomously invoke and pay for Web 2.0 services. While Web 3.0 payments offer a programmable foundation for such interactions, the recently proposed x402 standard fails to enforce end-to-end atomicity across service execution, payment, and result delivery. In this paper, we present A402, a trust-minimized payment architecture that securely binds Web 3.0 payments to Web 2.0 services. A402 introduces Atomic Service Channels (ASCs), a new channel protocol that integrates service execution into payment channels, enabling real-time, high-frequency micropayments for M2M commerce. Within each ASC, A402 employs an atomic exchange protocol based on TEE-assisted adaptor signatures, ensuring that payments are finalized if and only if the requested service is correctly executed and the corresponding result is delivered. To further ensure privacy, A402 incorporates a TEE-based Liquidity Vault that privately manages the lifecycle of ASCs and aggregates their settlements into a single on-chain transaction, revealing only aggregated balances. We implement A402 and evaluate it against x402 with integrations on both Bitcoin and Ethereum. Our results show that A402 delivers orders-of-magnitude performance and on-chain cost improvements over x402 while providing trust-minimized security guarantees.
Related papers
- EmbodiedSkills: A Unified Framework for Orchestrating, Training, and Deploying VLA Agents [56.25120535601186]
Vision-language-action (VLA) models map visual observations and language instructions directly to robot actions.<n>We propose EmbodiedSkills, a framework that treats each skill decision as an execution proposal.<n>A shared executable-skill interface connects high-level skill selection, bounded low-level VLA execution, and post-action verification.
arXiv Detail & Related papers (2026-09-01T14:14:47Z) - SiriusDeliver: Automating Data Warehouse Delivery at Tencent [45.75783602568372]
We present SiriusDeliver, an end-to-end delivery automation agent for production warehouse task submission.<n>We evaluate SiriusDeliver through offline datasets and large-scale production deployment on Tencent Cloud WeData.
arXiv Detail & Related papers (2026-08-10T06:54:40Z) - When HTTP 402 Meets the Blockchain: Risks on Emerging x402 Payments [53.795332613020946]
x402 is an emerging payment protocol for Web APIs and autonomous AI agents.<n>We present the first systematic study of authorization correctness and execution safety in current facilitator-mediated x402 deployments in the wild.<n>We derive four new attack vectors, including Free Shopping, Asset Theft, Service Denial, and Gas Abuse.
arXiv Detail & Related papers (2026-07-21T19:45:13Z) - Understanding and Evaluating Claw-like Agent Security Through a Computer-Systems Lens [65.53494487819053]
Claw-like AI agents (e.g., OpenClaw) are always-on processes with persistent access to credentials, files, tools, and external services.<n>We adopt a computer-system analogy: treating a Claw-like agent as an agentic computer system whose gateway runtime plays an OS-like mediation role.<n>We develop SafeClawArena, a benchmark of 406 adversarial tasks across four attack surfaces.
arXiv Detail & Related papers (2026-06-29T18:00:45Z) - Free-Riding in the AI Economy: Demystifying Logic Flaws in x402-Enabled Payment Systems [14.489441237764161]
We perform the first comprehensive security analysis of the x402 ecosystem.<n>We reveal that current implementations fail to enforce transactional atomicity and context binding.<n>We show that attackers can exploit the synchronization gap to force merchants to subsidize compute costs.
arXiv Detail & Related papers (2026-05-29T08:31:18Z) - Five Attacks on x402 Agentic Payment Protocol [4.93108576295077]
We analyze x402 and empirically show that it is vulnerable in both design and implementation.<n>We present five concrete attacks that reveal weaknesses in authorization, binding, replay protection, and web-layer handling.<n>Our results show that all five attacks are practical and can cause either unpaid service or paid-but-denied outcomes.
arXiv Detail & Related papers (2026-05-12T08:49:10Z) - Hardening x402: PII-Safe Agentic Payments via Pre-Execution Metadata Filtering [0.913755431537592]
We present presidio-hardened-x402, the first open-source that intercepts x402 payment requests before transmission to detect and redact personally identifiable information (PII)<n>To evaluate the PII filter, we construct a labeled synthetic corpus of 2,000 x402 metadata tripleconfigurations spanning seven use-case categories, and run a 42-precision/recall sweep across two detection modes (regex, NLP) and five confidence thresholds.<n>The recommended configuration achieves micro-F1 = 0.894 with precision 0.972, at a p99 latency of 5.73ms - well within the 50ms overhead budget.
arXiv Detail & Related papers (2026-04-13T13:17:12Z) - CVE-Factory: Scaling Expert-Level Agentic Tasks for Code Security Vulnerability [50.57373283154859]
We present CVE-Factory, the first multiagent framework to achieve expert-level quality in automatically transforming vulnerability tasks.<n>It is also evaluated on the latest realistic vulnerabilities and achieves a 66.2% verified success.<n>We synthesize over 1,000 executable training environments, the first large-scale scaling of agentic tasks in code security.
arXiv Detail & Related papers (2026-02-03T02:27:16Z) - Zero Trust Security Model Implementation in Microservices Architectures Using Identity Federation [0.0]
The article itself is a case on the need of the Zero Trust Security Model of micro services ecosystem.<n>It is proposed that the solution framework will be based on industry-standard authentication and authorization and end-to-end trust identity technologies.<n>The research results overlay that the federated identity combined with the Zero Trust basics not only guarantee the rules relating to authentication and authorization but also fully complies with the latest DevSecOps standards of microservice deployment.
arXiv Detail & Related papers (2025-11-07T02:03:05Z) - Sybil-Resistant Service Discovery for Agent Economies [0.0]
x402 enables Hypertext Transfer Protocol services like application programming interfaces (APIs), data feeds, and inference providers to accept cryptocurrency payments for access.<n>We introduce TraceRank, a reputation-weighted ranking algorithm where payment transactions serve as endorsements.<n>We argue that reputation propagation resists Sybil attacks by making spam services with many low-reputation payers rank below legitimate services with few high-reputation payers.
arXiv Detail & Related papers (2025-10-31T15:29:31Z) - On-Chain Decentralized Learning and Cost-Effective Inference for DeFi Attack Mitigation [4.37137147573556]
Billions of dollars are lost every year in DeFi platforms by transactions exploiting business logic or accounting vulnerabilities.<n>We present the first decentralized, fully on-chain learning framework that: (i) performs gas-prohibitive computation on Layer-2 to reduce cost, (ii) propagates verified model updates to Layer-1, and (iii) enables gas-bounded low-latency inference inside smart contracts.
arXiv Detail & Related papers (2025-10-15T18:58:34Z) - LMM-Incentive: Large Multimodal Model-based Incentive Design for User-Generated Content in Web 3.0 [60.604760613035126]
Web 3.0 represents the next generation of the Internet, which is widely recognized as a decentralized ecosystem that focuses on value expression and data ownership.<n>By leveraging blockchain and artificial intelligence technologies, Web 3.0 offers unprecedented opportunities for users to create, own, and monetize their content.<n>Some self-interested users may exploit the limitations of content curation mechanisms and generate low-quality content with less effort, obtaining platform rewards under information asymmetry.
arXiv Detail & Related papers (2025-10-06T12:39:29Z) - Code2MCP: Transforming Code Repositories into MCP Services [53.234097255779744]
Model Context Protocol (MCP) aims to create a standard for how Large Language Models use tools.<n>We introduce Code2MCP, an agent-based framework that automatically transforms a GitHub repository into a functional MCP service.<n>We demonstrate that Code2MCP successfully transforms open-source computing libraries in scientific fields such as bioinformatics, mathematics, and fluid dynamics.
arXiv Detail & Related papers (2025-09-07T06:13:25Z) - Ratio1 -- AI meta-OS [35.18016233072556]
Ratio1 is a decentralized MLOps protocol that unifies AI model development, deployment, and inference across heterogeneous edge devices.<n>Its key innovation is an integrated blockchain-based framework that transforms idle computing resources into a trustless global supercomputer.
arXiv Detail & Related papers (2025-09-05T07:41:54Z) - The Trust Fabric: Decentralized Interoperability and Economic Coordination for the Agentic Web [7.430263678657935]
fragmentation of AI agent ecosystems has created urgent demands for interoperability, trust, and economic coordination.<n>We present the Nanda Unified Architecture, a decentralized framework built around three core innovations.<n>System introduces X42/H42 micropayments for economic coordination and MAESTRO, a security framework incorporating Synergetics' patented AgentTalk protocol.
arXiv Detail & Related papers (2025-07-10T16:33:06Z) - BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems [62.17474934536671]
We introduce the first framework to capture offensive and defensive cyber-capabilities in evolving real-world systems.<n>To capture the vulnerability lifecycle, we define three task types: Detect (detecting a new vulnerability), Exploit (exploiting a specific vulnerability), and Patch (patching a specific vulnerability)<n>We evaluate 8 agents: Claude Code, OpenAI Codex CLI with o3-high and o4-mini, and custom agents with o3-high, GPT-4.1, Gemini 2.5 Pro Preview, Claude 3.7 Sonnet Thinking, and DeepSeek-R1.
arXiv Detail & Related papers (2025-05-21T07:44:52Z) - Putting a Padlock on Lambda -- Integrating vTPMs into AWS Firecracker [49.1574468325115]
Software services place implicit trust in the cloud provider, without an explicit trust relationship.
There is currently no cloud provider that exposes Trusted Platform Module capabilities.
We improve trust by integrating a virtual TPM device into the Firecracker, originally developed by Amazon Web Services.
arXiv Detail & Related papers (2023-10-05T13:13:55Z) - Construction Payment Automation Using Blockchain-Enabled Smart Contracts
and Reality Capture Technologies [0.8339831319589134]
This paper presents a smart contract-based solution for autonomous administration of construction progress payments.
It bridges the gap between payments (cash flow) and the progress assessments at job sites.
The method was successfully used for processing payments to 7 subcontractors in two commercial construction projects.
arXiv Detail & Related papers (2020-10-28T21:04:47Z) - Towards Bidirectional Protection in Federated Learning [70.36925233356335]
F2ED-LEARNING offers bidirectional defense against malicious centralized server and Byzantine malicious clients.
F2ED-LEARNING securely aggregates each shard's update and launches FilterL2 on updates from different shards.
evaluation shows that F2ED-LEARNING consistently achieves optimal or close-to-optimal performance.
arXiv Detail & Related papers (2020-10-02T19:37:02Z) - Regulation conform DLT-operable payment adapter based on trustless -
justified trust combined generalized state channels [77.34726150561087]
Economy of Things (EoT) will be based on software agents running on peer-to-peer trustless networks.
We give an overview of current solutions that differ in their fundamental values and technological possibilities.
We propose to combine the strengths of the crypto based, decentralized trustless elements with established and well regulated means of payment.
arXiv Detail & Related papers (2020-07-03T10:45:55Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.