MosePay deeply integrates Google AP2, X402 & ERC-8004 protocolsto build a full-stack payment ecosystem connecting humans, machines and AI Agents.

Abstract: The AI agent economy is booming, while traditional payment systems fail to meet the demands of automated machine-to-machine transactions. As a Singapore-based Web3 payment project, MosePay deeply integrates three mainstream protocols including Google AP2, X402 and ERC-8004. Combined with its six-tier full-stack technical architecture, MosePay has built a comprehensive payment ecosystem covering individuals, machines and AI agents. From industry pain points, protocol logic, technical collaboration to real-world application scenarios, this article analyzes how MosePay establishes a standardized underlying infrastructure for AI payment and seizes opportunities in the AI autonomous economy track.

Introduction
With the rapid advancement of large language models and intelligent agent technologies, the AI autonomous economy and machine-to-machine transactions have evolved from concepts into large-scale real-world applications. Nevertheless, fragmented protocols, lack of verifiable trust mechanisms and isolated scenarios have long hindered the development of next-generation payment systems. This article focuses on the protocol-layer technical solutions of MosePay, elaborates on the integration logic and practical value of its three core protocols, and explores the future form of Web3 + AI payment.

I. The Rise of AI Autonomous Economy: Three Core Dilemmas Facing Payment Systems
As large model technologies continue to iterate, AI Agents are being widely deployed across scenarios such as API calls, data resource access, digital content subscriptions and on-chain automated transactions, undertaking core responsibilities including autonomous decision-making and automatic execution. Industry forecasts indicate that the transaction volume driven by AI Agents in the machine-to-machine (M2M) sector will exceed one trillion US dollars by 2030, making it one of the fastest-growing value circulation segments in the digital economy. However, the underlying architecture of current payment systems cannot fully adapt to the needs of the AI autonomous economy, resulting in three prominent bottlenecks.

1. Protocol Fragmentation: No Unified Standards for Machine Micropayments
   The HTTP 402 status code has existed for over 30 years but never achieved large-scale adoption. The fundamental reason is that traditional payment systems are incapable of supporting the high-frequency, small-value and fully automated payment requirements of AI Agents. Currently, AI services adopt diversified billing models: API services rely on pre-recharge or subscription systems, on-chain resources use native tokens for payment, and digital content lacks a universal payment channel. AI Agents have to adapt to multiple disjointed payment interfaces across different scenarios, leading to cumbersome workflows and low efficiency. The X402 protocol has established a standardized framework for native internet micropayments, yet it lacks in-depth integration with traditional payment systems and on-chain identity systems, failing to form a complete payment closed loop.

2. Trust Deficit: Absence of Verifiable On-Chain Identity for AI Agents
   In the decentralized AI autonomous economy, verifying the counterparty’s legitimacy and credibility matters more than completing the payment itself. Today’s AI Agents do not have unified on-chain identity credentials and reputation mechanisms. Transaction participants cannot verify the legality, compliance and credit status of AI Agents, which gives rise to fraud, impersonation and malicious trading risks. The ERC-8004 standard provides an NFT-based on-chain identity and reputation framework for AI Agents, but it has not been deeply embedded into payment workflows. The full-cycle automation of “identity verification — reputation assessment — payment execution” remains unrealized, and manual intervention is still required for AI Agent payments, blocking the path to full autonomy.

3. Isolated Scenarios: Incompatible Payment Systems for Humans, Machines and Intelligent Agents
   The current payment landscape is highly fragmented. Traditional payment tools for individual users, API billing systems for machine services, and native token payment solutions for on-chain AI Agents operate in silos without interconnection, forming isolated value islands. Users are forced to maintain multiple payment accounts separately. AI Agents cannot directly access users’ on-chain assets, and traditional payment channels are incompatible with automated transactions initiated by AI Agents. These issues severely restrict the collaborative value circulation among humans, machines and intelligent agents.

Having gained deep insights into industry pain points, MosePay adopts a development philosophy of “protocol-first and end-to-end connectivity”. By deeply integrating Google AP2, X402 and ERC-8004, MosePay builds a full-scenario payment system covering humans, machines and intelligent agents, delivering standardized, automated and trusted underlying payment infrastructure for the AI autonomous economy.

II. Deep Integration of Three Protocols: Building OS-Level Capabilities for AI Payment
MosePay’s protocol layer is more than a simple combination of interfaces. It conducts in-depth adaptation and collaborative optimization for Google AP2, X402 and ERC-8004, forming a complete workflow of “intention parsing — identity verification — route matching — automatic payment — settlement closed loop”. Each protocol performs its own functions and complements one another, jointly serving as the core hub of MosePay’s AI payment ecosystem.

1. X402 Protocol: Activating HTTP 402 to Enable Native Internet Micropayments The core value of the X402 protocol lies in embedding payment logic directly into HTTP request and response processes. By activating the HTTP 402 status code, it provides a standardized micropayment channel for M2M transactions between AI Agents and API services. When an AI Agent requests paid API services or digital resources, the server returns the 402 status code along with payment details. The client can automatically complete payment authorization, fund transfer and transaction verification without any manual operation, perfectly catering to high-frequency, small-value and automated billing scenarios for AI services.

Within MosePay’s protocol layer, X402 is fully integrated into the payment routing engine and optimized in three key aspects:

· Unified adaptation for multi-chain assets: It supports mainstream public chain tokens, stablecoins and MosePay’s native tokens as payment media, eliminating the need for AI Agents to maintain various types of assets separately.

· Low Gas cost optimization: Leveraging the underlying ZK settlement layer, transactions are aggregated off-chain and verified on-chain in a simplified manner, reducing the cost of each micropayment to a minimum and supporting massive high-frequency transactions.

· Fully automated payment process: Users can set payment authorization rules for AI Agents, including single transaction limits, daily spending caps and whitelisted service addresses. AI Agents can complete payments independently within the authorized scope without repeated signature confirmation or manual approval.

The in-depth integration of X402 enables seamless and frictionless payments between AI Agents and internet services. API calls, data access, content subscriptions and other scenarios can operate with fully automated payment processes, greatly improving the operational efficiency of AI services.

1. ERC-8004 Standard: Establishing On-Chain Identity and Trust System for AI Agents Developed by the Ethereum community, ERC-8004 is a dedicated standard for on-chain identity and reputation of AI Agents. It issues unique NFT-based on-chain identity credentials for every AI Agent and builds a decentralized reputation scoring and behavior verification mechanism. In MosePay’s protocol layer, ERC-8004 acts as a pre-verification link for AI payments, implementing the security rule of “verify first, pay later” and resolving trust-related challenges in AI Agent transactions.

The application of ERC-8004 in MosePay consists of three tiers:

· Unique on-chain identity: Each AI Agent accessing the ecosystem is assigned an immutable NFT-based on-chain identity, which records service categories, functional scopes and permission levels. The identity can be verified and reused across multiple platforms.

· Decentralized reputation scoring: Based on on-chain transaction history, service compliance and collaborative feedback of AI Agents, the algorithm generates transparent reputation scores as a reference for trust evaluation between transaction parties.

· Traceability and auditability: All payment activities, transaction records and permission operations of AI Agents are recorded on the blockchain, enabling full lifecycle traceability and accountability while meeting regulatory compliance requirements.

When an AI Agent initiates a payment request, MosePay’s protocol layer first invokes the ERC-8004 identity module to verify the agent’s legitimacy and reputation. Payment execution is only approved for verified requests, which fundamentally prevents fraud and malicious transactions and fosters a trusted trading environment for the AI autonomous economy.

1. Google AP2 Protocol: Connecting AI Service Billing and Enterprise-Grade Payment Channels Google AP2 (Application Payment 2.0) is an enterprise-grade API payment protocol launched by Google. It delivers standardized solutions for per-use billing, subscription settlement and corporate accounting for AI services, cloud computing resources and data platforms. Within MosePay’s protocol layer, Google AP2 undertakes two core roles: providing standardized billing and settlement interfaces for B-end AI service providers, and bridging on-chain assets and enterprise payment systems to realize cross-scenario settlement for AI service fees.

The integration with Google AP2 expands MosePay’s AI payment ecosystem in two major dimensions:

· Enterprise-grade settlement for AI services: Enterprises can use on-chain assets to pay for AI service subscriptions and API calls. Standardized reconciliation documents are automatically generated to meet corporate financial audit requirements.

· Cross-system payment interoperability: It enables connectivity between on-chain assets, traditional bank accounts and enterprise payment channels. Enterprises can settle AI service fees directly with on-chain tokens without additional conversion or intermediate links.

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· Support for flexible billing models: It adapts to multiple billing methods including pay-per-use, monthly/annual subscriptions, tiered pricing and usage-based charging, catering to the diverse business demands of various AI services.

The introduction of Google AP2 extends MosePay’s AI payment capabilities from individual AI Agent scenarios to enterprise-level AI service scenarios, forming a complete value circulation loop among individual users, AI Agents and service providers.

III. Protocol Collaboration and Architectural Empowerment: Core Advantages of MosePay’s AI Payment System
The integration of the three protocols is far more than simple function superposition. Empowered by MosePay’s full-stack technical architecture, they generate synergies that deliver superior overall performance, building industry-leading AI payment capabilities.

1. Deep Adaptation Between Protocols and Full-Stack Architecture MosePay adopts a six-tier modular full-stack technical architecture, which progresses hierarchically from underlying infrastructure to top-level intelligent execution. It provides a solid foundation for the coordinated operation of the three protocols:

· MPAY Native Payment Public Chain: Offers on-chain data storage and interactive environments for ERC-8004 identity credentials, ensuring the immutability and credibility of identity data.

· ZK Settlement Layer: Delivers off-chain aggregation and low-cost settlement for X402 micropayments, guaranteeing efficiency and compliance for high-volume transactions.

· Hermes Hierarchical Memory Layer: Accumulates payment behavior data of users and AI Agents to optimize payment routes, predict transaction risks and enhance the intelligence of protocol execution.

· AI Agent Swarm Automated Execution Layer: Provides distributed collaboration for protocol scheduling, ensuring real-time processing of payment requests and stable operation under high-concurrency conditions.

All layers are closely interconnected. The native public chain ensures operational security and credibility, the ZK settlement layer boosts transaction efficiency, the Hermes memory system optimizes decision logic, and the swarm system enables automated execution. Together, they maximize the value of the three protocols.

1. End-to-End Payment Closed Loop: Complete Workflow from User Intention to AI Execution
   In MosePay’s AI payment system, users’ payment intentions can be converted into automated transactions by AI Agents via a full-cycle workflow: user authorization → intelligent parsing → identity verification → route matching → automatic payment → result feedback. The detailed process is as follows:

2. User authorization and intention configuration: Users set payment policies for AI Agents in the mPay wallet, including payment limits and service whitelists. They can also describe payment demands in natural language to complete personalized configuration.

3. Intention parsing and protocol matching: The Hermes system analyzes users’ payment intentions and automatically selects the most suitable protocol based on service types and billing rules of AI Agents.

4. AI Agent identity verification: The ERC-8004 module verifies the on-chain identity and reputation of the AI Agent to confirm transaction credibility.

5. Route matching and payment execution: The protocol layer initiates payment requests in accordance with authorization rules and verification results, and completes fund transfer via the ZK settlement layer.

6. Result feedback and data accumulation: Transaction results are synchronized to the Hermes system and stored as behavioral data of users and AI Agents to continuously optimize future payment decisions.

This end-to-end closed loop realizes seamless collaboration between users, AI Agents and service providers, upgrading AI payment from manual configuration and passive execution to intention-driven and fully autonomous operation.

1. Differentiated Advantages: Three Core Barriers of MosePay’s AI Payment System Compared with other AI payment projects in the market, MosePay boasts irreplicable competitive barriers thanks to the deep integration of the three protocols and the support of its full-stack architecture:

· Unique protocol integration: MosePay is one of the few projects in the industry that fully integrates Google AP2, X402 and ERC-8004, covering scenarios from C-end to B-end, from on-chain to off-chain, and from individuals to AI Agents.

· End-to-end automation: Supported by the Hermes hierarchical memory system and AI swarm network, the whole process including intention parsing, identity verification, route matching and transaction execution is fully automated, minimizing manual intervention.

· Dual guarantee of compliance and privacy: Combining the ZK settlement layer and ERC-8004 identity system, MosePay balances transaction privacy protection and compliance audit, adapting to global regulatory requirements and laying a foundation for large-scale commercial adoption.

IV. Application Scenarios: Three Major Use Cases of MosePay’s AI Payment System
Powered by the integrated three protocols, MosePay’s AI payment system supports diversified real-world applications, serving individual users, AI service providers and enterprise clients, and promoting the large-scale development of the AI autonomous economy.

1. Individual User Scenario: An Intelligent Payment Manager for AI Agents
   For individual users, MosePay enables fully automated billing management for AI agent services. Users only need to set authorization rules in the mPay wallet, and AI Agents will automatically complete payments for API calls, data access and content subscriptions within the authorized scope, without manual recharging or renewal. Meanwhile, the Hermes system optimizes payment routes and recommends optimal billing plans based on user habits to reduce costs and improve efficiency, enabling AI Agents to act as smart assistants capable of managing payments and budgets independently.

2. B-end AI Service Scenario: Standardized Billing and Settlement Solutions
   For AI service providers, MosePay offers standardized API billing and settlement interfaces supporting pay-per-use, subscription and tiered pricing models. Service providers do not need to develop independent payment systems. By accessing MosePay’s protocol layer, they can provide services such as on-chain asset payment, enterprise reconciliation and compliance document generation, greatly reducing development and operation costs. In addition, the ERC-8004 identity system helps service providers quickly verify the identity and credit of users’ AI Agents, mitigate transaction risks and expand business scale.

3. Enterprise Scenario: Automated Settlement for AI Service Supply Chains
   In enterprise AI service supply chains, MosePay realizes automated settlement among enterprises, AI service providers and data suppliers. Enterprises pay AI service fees with on-chain assets, and AI service providers further settle payments to data suppliers via MosePay’s protocol layer. The entire process requires no manual operation, which drastically improves settlement efficiency. Standardized reconciliation documents are generated automatically to meet corporate audit needs and enhance the collaborative efficiency of the whole supply chain.

V. Future Outlook: Empowering the AI Autonomous Economy with Protocols
With the rapid growth of the AI agent economy, standardization, automation and trustworthiness of payment systems will become the core focus of industrial competition. By deeply integrating Google AP2, X402 and ERC-8004, MosePay has built an end-to-end payment system connecting humans, machines and intelligent agents, providing solid underlying support for value circulation in the AI autonomous economy.

In the future, MosePay will continue to optimize protocol integration and technical capabilities. On one hand, it will enhance the adaptability of the protocol layer to support more AI service scenarios. On the other hand, it will leverage the Hermes hierarchical memory system and AI swarm network to improve the intelligence of AI payment and realize autonomous iteration of payment strategies. Meanwhile, MosePay will accelerate compliance deployment in core markets including Southeast Asia and South America, promote the adaptation between protocols and local regulatory systems, and pave the way for large-scale implementation.

From the activation of HTTP 402 and the implementation of the ERC-8004 identity system, to frictionless payments for individual users and automated settlement for enterprise supply chains, MosePay acts as a bridge connecting humans and machines, on-chain and off-chain ecosystems, individuals and enterprises, taking the lead in exploring the future of the AI autonomous economy. With continuous technical iteration and scenario expansion, MosePay is poised to become a benchmark payment infrastructure in the AI autonomous economy era and drive the global payment industry into a new phase featuring intelligent collaboration and autonomous value circulation.