Messari deeply analyzes Bitget's four-layer AI architecture, taking the lead in connecting the multidimensional AI calling system
Messari's latest Pulse report provides an in-depth analysis of the early implementation progress of the Bitget AI trading system. The report points out that Bitget has built a four-layer AI product architecture that includes 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 just 11 days after its launch, generating more than 2.6 million replies and achieving an exposure of 390 million; GetAgent has surpassed 450,000 registered users, achieving over 100 million exposures during its early invitation testing phase and accumulating more than 25,000 waiting users.
Messari emphasizes the infrastructure capabilities of Agent Hub in the report, noting that Bitget is currently the only trading platform that supports a complete calling system for MCP Server, REST/WebSocket API, Skills, and CLI. Currently, Agent Hub has integrated 5 analytical AI Skills and over 15 data tools, covering macro, technical, sentiment, and intelligence analysis comprehensively. The execution layer, GetClaw, builds a risk control defense line through sub-account isolation, sandbox drills, and funding limits, and has now integrated with Telegram, with plans to expand to Discord and app platforms in the future.
Bitget CEO Gracy Chen stated that AI is becoming a core component of modern trading infrastructure, and early data indicates that users increasingly expect a complete integration of analysis, execution, and strategy within a single platform. Bitget is committed to lowering the professional trading threshold through AI technology, providing institutional-level trading experiences and decision support for 150 million users worldwide.
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