京东发布国内首个智能体自主支付协议 为AI“花钱”定规则

This article introduces JD.com’s launch of China’s first A2P2 protocol specifically designed for autonomous agent-based payments, which solves security and budget control challenges for AI-managed consumer payments on behalf of users. General readers can get a clear grasp of the core technology that is set to transform consumer habits.

1. Core rules: The protocol divides autonomous agent payment into six levels from L0 to L5, ranging from full manual confirmation to fully autonomous payment. It focuses on L3 and L4, which meet the needs of most scenarios and adapt to different users’ authorization requirements.

2. Security guarantees: It introduces the industry-first ARI agent runtime identity mechanism, which verifies information of the real user, the agent, and the runtime environment to block abnormal deductions. It also adopts an isolated dedicated account system, where agents cannot access users’ main accounts directly, with strict constraints on transaction limits and applicable scenarios.

3. Practical benefits: The protocol dynamically adapts to users’ task requirements and enables budget control, with every transaction traceable and auditable. In the future, users will only need to issue voice commands, and AI can automatically complete the entire consumption process such as ticket booking or flower ordering, without requiring manual password entry or confirmation taps.

JD.com has released China’s first autonomous agent payment protocol, signaling that large-scale adoption of AI-native task-based consumption scenarios is imminent. Brands can get ahead of industry shifts and position themselves for this emerging track.

1. Shifting consumer trends: In the future, agents will replace users to complete the full process from product selection to ordering and payment. User-authorized agent-managed consumption will become a new mainstream habit, so brands need to adapt to the task-based matching logic of agents and adjust their product presentation and matching strategies accordingly.

2. Product adjustment directions: With clear tiered autonomous payment rules defined by the protocol, brands can design targeted products for scenarios with different payment levels. For example, for high-authorization L4-level agents, brands can launch small-value standardized products that fit high-frequency essential needs, to align with agents’ recommendation logic.

3. Trust dividend: The protocol establishes a complete traceable evidence storage system, reduces transaction disputes in smart consumption, and helps improve user trust in AI-powered consumption scenarios. Brands that position themselves early will gain priority access to traffic and sales dividends in this new space.

JD.com’s launch of China’s first autonomous agent payment protocol fills the final gap for the commercialization of agent-based consumption and opens up a new track for AI-native consumption. Sellers can seize new opportunities while avoiding potential risks.

1. Opportunity outlook: Autonomous agent payment solves the trust problem of AI consumption, and task-based consumption will grow rapidly in the future. Sellers can lay out products adapted to agent search and recommendation logic in advance. Among them, high-frequency small-value daily service products and standardized daily goods are more likely to get recommended by agents and capture new growth.

2. Risk warnings: Under the new rules, sellers need to comply with the protocol’s evidence storage and compliance requirements to ensure transaction information is traceable and avoid disputes. They also need to integrate with the new payment rules early to prevent connection failures in transaction links.

3. Collaboration opportunities: JD is co-building an agent payment ecosystem with the whole industry. Sellers can participate in the development of supporting standards for the protocol, connect with relevant capabilities early, and seize traffic dividends in the new scenario.

JD.com’s release of the autonomous agent payment protocol marks the accelerated implementation of AI-driven end-to-end intelligent retail, bringing new development opportunities and transformation insights for factories.

1. Product design and development demands: In the future, agents will match products based on users’ dynamic task requirements. Factories can develop more standardized products adapted to high-frequency small-value task scenarios, and optimize product parameter information to meet the parametric matching requirements of agents, facilitating agent screening and recommendation.

2. Digital transformation insights: The implementation of agent payment indicates that end-to-end digitalization is an inevitable trend in the retail industry. Factories need to accelerate their own digital transformation, adapt to the digital requirements for transaction matching and settlement in the smart retail era, and improve connection efficiency.

3. Business opportunities: A new smart consumption ecosystem is being co-built across the industry. Factories can connect to the ecosystem early to access more accurate user demand matching, shorten transaction links, improve transaction efficiency, and expand new sales growth channels.

Autonomous agent payment is a core fundamental infrastructure for the smart economy era. The A2P2 protocol released by JD identifies industry pain points and provides a mature solution, pointing out clear development directions for various service providers including payment and AI technology players.

1. Industry development trends: With the rapid popularization of agent applications, autonomous payment is an essential foundational capability with huge market potential. Currently, there is no unified industry standard in China, so relevant service providers can lay out early to seize the first-mover advantage.

2. Core customer pain points: At present, the core pain point for the industry and end consumers is security and trust in intelligent payment. Traditional static no-password authorization cannot adapt to the dynamic task payment requirements of agents, and the industry also lacks a complete and credible dispute traceability mechanism.

3. Actionable reference solution: JD’s complete solution, including the tiered autonomy framework, ARI triple verification mechanism, dedicated account isolation, and blockchain-based traceability, can serve as a foundational industry framework. Service providers can develop supporting technical services based on this framework to meet the needs of industry-wide clients.

JD.com’s launch of China’s first autonomous agent payment protocol provides a mature reference for ecosystem building for e-commerce and AI agent platforms, and clarifies new industry requirements for platforms.

1. New industry requirements for platforms: The development of the agent ecosystem relies on secure, compliant and regulatable payment infrastructure. Only by fixing the trust gap in the payment link can platforms attract more developers and users, and enable the launch of more agent applications.

2. Replicable operational practices: Platforms can refer to JD’s mature framework, including the tiered payment system, ARI identity verification, isolated accounts, and evidence traceability, to build their own agent payment systems, effectively improve user trust, and reduce security risks.

3. Ecosystem building direction: Agent payment requires collaborative development across the industry. Platforms can join forces with developers, merchants, and technology service providers to refine rules, open relevant capabilities to recruit partners, and implement sound compliance and risk control to meet regulatory requirements and avoid policy risks.

JD.com’s release of China’s first autonomous agent payment protocol is an important innovation in payment infrastructure for the smart economy, providing new directions and a practical implementation sample for industrial and technological research.

1. New industrial trends: With the popularization of large language models and agent applications, agents that autonomously complete end-to-end tasks delegated by users have become a new development direction, and payment autonomy is the core enabler for agent commercialization. The industry has already started to develop relevant standards and infrastructure.

2. Innovation value: JD has pioneered a tiered payment classification system, the ARI runtime identity verification mechanism, and a blockchain-based evidence storage and traceability system. These innovations solve the pain point that traditional payment cannot adapt to dynamic intelligent task payment, and form a complete and implementable foundational framework for the intelligent payment business model.

3. Research implications: Regulatory compliance and cross-vendor ecosystem collaboration for agents will be key research directions going forward. The protocol’s approach of industry-wide co-construction under regulatory compliance provides new reference for relevant policy and industrial research.