As autonomous artificial intelligence agents (AI Agents) conduct large-scale signing of smart agreements, data asset exchanges, and service delivery without human intervention, traditional dispute resolution mechanisms can no longer match their "machine speed" and high-frequency interaction characteristics. In cases of service level agreement (SLA) breaches, output quality deviations, or performance failures, there is currently no decentralized dispute resolution system capable of providing millisecond-level responses and deterministic rulings, leading many autonomous agreements to stall or even fail due to unresolved disputes.

This is precisely why a on-chain dispute resolution protocol tailored for the “Agent Economy” has been developed. It introduces an on-chain AI Jury composed of multiple node AI verifiers, which analyzes objective digital evidence submitted by both parties—including execution logs, timestamps, on-chain transaction records, API call traces, and cryptographic signatures—within a predefined transparent evaluation rubric. The system independently and concurrently conducts fact-finding and responsibility determination under this framework, ultimately reaching a binding decision quickly through a consensus mechanism.
Core advantages:
- Millisecond to minute-level decision speed, matching the high-frequency interaction pace of AI agents
- Fully decentralized and verifiable: evidence is stored on-chain, reasoning processes are auditable, and rulings are traceable
- Objectivity and predictability, relying on predefined rules rather than subjective human judgment
- Avoids centralized single points of failure, eliminating the speed and scalability bottlenecks of traditional arbitration/courts
Its ultimate goal is to become the foundational infrastructure layer for the AI agent era, ensuring that autonomous agreements can continue to operate efficiently and self-heal in the event of deviations, thereby truly unlocking the productivity potential of the “Agent Economy.”