Messari provides an in-depth analysis of Bitget's four-layer AI architecture, pioneering a comprehensive AI access system.

Messari's latest Pulse report provides an in-depth breakdown of the early implementation progress of Bitget's AI trading system. The report points out that Bitget has built a four-layer AI product architecture encompassing GetAgent (market analysis), GetClaw (autonomous execution), Agent Hub (developer access), and Gracy AI (strategy interaction). Data shows that Gracy AI attracted over 460,000 users in just 11 days, generating over 2.6 million replies and achieving 390 million impressions. GetAgent has surpassed 450,000 registered users, achieving over 100 million impressions during its early invitation-only testing phase and accumulating over 25,000 potential users. Messari highlights Agent Hub's infrastructure capabilities in the report, noting that Bitget is currently the only trading platform simultaneously supporting a complete MCP Server, REST/WebSocket API, Skills, and CLI calling system. Agent Hub currently integrates 5 analytical AI Skills and 15+ data tools, comprehensively covering macro, technical, sentiment, and intelligence analysis. GetClaw, at the execution layer, builds a risk control defense through sub-account segregation, sandbox exercises, and capital limits. It is currently integrated with Telegram and will be expanded to Discord and the App in the future. Bitget CEO Gracy Chen stated that AI is becoming a core component of modern trading infrastructure, and early data shows that users increasingly expect complete integration of analytics, execution, and strategy within a single platform. Bitget is committed to lowering the barriers to professional trading through AI technology, providing institutional-grade trading experiences and decision support to 150 million users worldwide.