A recent report from Messari Pulse has unveiled that Bitget’s AI-trading infrastructure has garnered nearly 500,000 active users. This sophisticated, four-layer product system is designed to enhance trading efficiency and user experience on the platform.
The report identifies four fundamental layers integral to Bitget’s architecture: analysis, execution, infrastructure, and user engagement. Central to these layers are key products such as GetAgent, GetClaw, Agent Hub, and Gracy AI. GetAgent offers conversational market analysis, while GetClaw operates as an autonomous execution system. Agent Hub serves as a connection point for developers to access exchange functionalities, and Gracy AI, modeled around the insights of Bitget CEO Gracy Chen, provides strategic guidance influenced by market sentiment.
In the initial eleven days following its launch in February, Gracy AI attracted over 460,000 users and amassed more than 2.6 million replies, achieving over 390 million impressions. Similarly, GetAgent has seen remarkable engagement, with more than 450,000 registered users since its rollout. Its invite-only phase, which occurred from July to August 2025, yielded over 100 million impressions and created a waitlist exceeding 25,000 users.
Agent Hub, launched in February 2026, acts as an infrastructure layer that connects AI systems directly to exchange functions, supporting MCP Server, Skills, REST, and WebSocket APIs alongside a command-line interface. The report emphasizes that Bitget stands out as the only exchange to offer all four layers simultaneously.
Additionally, Bitget’s AI features have expanded to incorporate five analytical AI Skills and more than 15 integrated data tools, covering aspects such as macro analysis, technical signal detection, sentiment monitoring, market intelligence, and news aggregation.
The autonomous execution component, GetClaw, is built to support retail risk control within a constrained framework. Trades executed through GetClaw are carried out via dedicated sub-accounts that are isolated from user-held assets, with further structural controls establishing sandbox environments and fund deployment limits. Presently, GetClaw operates on platforms such as Telegram, Discord, and WhatsApp, with plans for in-app enhancements in future updates.
Gracy Chen, the CEO of Bitget, expresses the ambition to empower billions to trade with the sophistication akin to Wall Street professionals. She emphasizes that AI is becoming a cornerstone of trading infrastructure, advocating for integrated analysis, execution, and strategies within one unified trading platform.
This transformation is particularly evident in the realm of cryptocurrency trading. Chen predicts a future where AI agents will surpass human operators in hedge funds by the year 2028. Moreover, it’s noteworthy that more than 70% of global spot trading volume is already influenced by automated systems. However, there remains a significant discrepancy between the advanced capabilities of institutional trading infrastructure and the tools available to retail traders.
Many traders continue to rely on disjointed workflows that include charting tools, market data terminals, execution interfaces, and portfolio trackers. The emergence of AI is increasingly being viewed as a solution to consolidate these functions, promising to weave together analysis, risk management, and execution support into a singular interface. Chen has reiterated the commitment of the Bitget team to create products that resonate with the needs and preferences of their user base, ensuring that the platform continues to evolve in alignment with user expectations.
