A Messari Pulse report has revealed that nearly 500,000 users utilize Bitget’s AI-trading infrastructure, a 4-layer product system built within its platform. Messari identifies four core layers within Bitget’s AI architecture: analysis, execution, infrastructure, and user engagement within the platform.
The Messari report highlighted the four core layers within Bitget’s architecture as GetAgent for conversational market analysis, GetClaw for autonomous execution, Agent Hub for developer access to exchange functions, and Gracy AI, a strategic guidance interface built around the public market voice of Bitget CEO Gracy Chen. Together, these products extend AI across analysis, executions, infrastructure, and user engagement inside the Bitget platform.
According to Bitget data cited in the report, Gracy AI attracted more than 460,000 users and generated over 2.6 million replies within its first eleven days after launch in February, producing over 390 million impressions in the same period. GetAgent has also surpassed 450,000 registered users since its launch. Its invite-only phase, which ran from July to August 2025, drove 100 million+ impressions and a waitlist exceeding 25,000 users.
Agent Hub supports MCP Server, Skills, REST, and WebSocket APIs
The Messari report also highlights Agent Hub, an infrastructure layer for connecting AI systems directly to exchange functions. Launched in February 2026, it supports MCP Server, Skills, REST and WebSocket APIs, and a command-line interface.
The report also notes that Bitget is the only exchange to offer all four simultaneously. The platform has since expanded to include five analytical AI Skills and 15+ integrated data tools spanning macro analysis, technical signal detection, sentiment monitoring, market intelligence, and news aggregation.
GetClaw, the autonomous execution layer, operates through a constrained structure designed for retail risk control. Trades execute via dedicated sub-accounts isolated from user-held assets, while sandbox environments and fund limits define where the agent can operate and how much capital it can deploy. The product is currently live on Telegram, Discord, and WhatsApp, with in-app expansion planned for later releases.
According to Bitget CEO Gracy Chen, the company aims to enable billions of people to trade like Wall Street professionals. She also notes that AI is becoming part of the modern architecture of trading infrastructure. Chen believes that early adoption of Bitget’s AI infrastructure shows that users increasingly expect analysis, execution, and strategy integrated into one trading platform.
The shift is especially visible in crypto trading. Bitget CEO Gracy Chen has predicted that AI agents will outnumber humans in hedge funds by 2028. At the same time, over 70% of global spot trading volume is already driven by automated systems. Yet a meaningful gap remains between the sophistication of institutional trading infrastructure and the tools available to retail users.
In practice, many users still rely on fragmented workflows across charting tools, market data terminals, execution interfaces, and portfolio trackers. AI is increasingly being positioned as a way to unify those functions by combining analysis, risk management, and execution support within a single interface. Chen previously stated that the Bitget team is dedicated to developing products from the users’ perspective, ensuring the platform offers opportunities that align with their needs and interests.
