Bitget’s AI Trading Ecosystem Sees Strong Early Growth
A recent report by Messari reveals that Bitget’s AI-powered trading infrastructure has rapidly gained traction, attracting close to half a million users shortly after launch. The analysis outlines a multi-layered system designed to integrate market analysis, execution, and strategy into a single ecosystem.
Four Key Layers Power Bitget’s AI Infrastructure
According to the report, Bitget’s trading framework is built around four core components:
- GetAgent – a conversational tool focused on market insights and analysis
- GetClaw – an autonomous trading execution system
- Agent Hub – a developer-focused integration layer connecting AI tools to exchange functions
- Gracy AI – a strategic advisory interface leveraging insights from Gracy Chen
Together, these systems form a comprehensive infrastructure aimed at enhancing both user experience and trading efficiency.
Rapid User Adoption Across AI Products
One of the standout performers is Gracy AI, which reportedly attracted over 460,000 users within just 11 days of its launch. During this period, it generated more than 2.6 million responses and approximately 390 million impressions.
Meanwhile, GetAgent has also seen strong engagement, surpassing 450,000 registered users. Even during its invite-only phase in mid-2025, it created significant demand, building a waitlist of over 25,000 users and generating more than 100 million impressions.
Agent Hub Sets a New Standard for Integration
The report highlights Agent Hub as a unique infrastructure layer within the crypto exchange landscape. It supports multiple systems simultaneously, including MCP Server, Skills, REST APIs, and WebSocket APIs.
Bitget is currently the only exchange offering this level of integration, enabling access to advanced tools such as macroeconomic analysis, technical signal detection, sentiment tracking, and real-time market intelligence.
GetClaw: Autonomous Trading with Risk Controls
GetClaw represents the execution layer of the ecosystem, designed to automate trades while maintaining strict risk management protocols. It operates through dedicated sub-accounts, ensuring user funds remain separate.
Additionally, a sandbox environment restricts trading parameters, allowing users to control capital exposure. The system is currently available on Telegram, with plans to expand to platforms like Discord, WhatsApp, and native app integrations.
Vision: Bringing Institutional-Level Trading to Everyone
Speaking on the growing role of AI in trading, Gracy Chen emphasized the goal of making advanced trading capabilities accessible to a global audience. She noted that users increasingly expect seamless integration of analysis, execution, and strategy within a single platform.
This shift signals a broader transformation in trading infrastructure, where AI-driven systems are becoming central to user expectations and market participation.
