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Bitget AI Stack Gains Traction Across Trading Layers

Tue, 28/04/2026 - 15:47
Bitget is seeing rapid adoption of its AI-powered trading stack, with a new Messari report highlighting strong user growth and engagement across its multi-layer infrastructure.
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Bitget AI Stack Gains Traction Across Trading Layers
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Bitget has reported accelerating adoption of its AI-driven trading infrastructure, according to a newly published analysis from Messari.

The report outlines a four-layer system that integrates artificial intelligence across multiple stages of the trading process, from market analysis to execution and developer access.

The architecture includes GetAgent for conversational insights, GetClaw for autonomous trading, Agent Hub for infrastructure access, and Gracy AI, a guidance interface shaped around CEO Gracy Chen’s market perspective.

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Together, these tools aim to unify analysis, execution, and strategy within a single platform, reflecting a broader shift toward AI-native trading environments.

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User growth and infrastructure expansion

Early usage metrics highlight strong engagement across the stack.

Gracy AI attracted more than 460,000 users within 11 days of its February launch, generating over 2.6 million responses and approximately 390 million impressions. 

Meanwhile, GetAgent has surpassed 450,000 registered users, building on an invite-only phase in mid-2024 that produced over 100 million impressions and a waitlist exceeding 25,000 users.

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The report also emphasizes the role of Agent Hub as a core infrastructure layer. Launched in February 2025, it enables developers to connect AI systems directly to exchange functions through tools such as MCP Server, APIs, and command-line interfaces.

Bitget is highlighted as the only exchange currently offering this full stack of capabilities in a unified environment. 

The platform has since expanded its AI toolkit, adding multiple analytical “Skills” and integrating more than 15 data tools covering macro analysis, technical signals, sentiment tracking, and market intelligence.

Automated execution with built-in risk controls

At the execution level, GetClaw introduces automated trading within a controlled framework designed for retail users.

The system operates through isolated sub-accounts, ensuring that AI-driven trades do not directly access user-held funds. Additional safeguards, including sandbox environments and predefined capital limits, are built in to manage risk exposure.

Currently available via Telegram, GetClaw is expected to expand to other platforms, including Discord, WhatsApp, and Bitget’s native interface.

The rollout reflects a broader industry shift toward embedding AI across the full trading lifecycle, as platforms compete to deliver integrated environments combining analytics, execution, and strategy in real time.

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