Bitget, the world’s largest Universal Exchange (UEX), is highlighted in a new Messari Pulse report for its rapid adoption of an AI-native trading stack. The four-layer system sits at the core of Bitget’s trading infrastructure, which serves roughly 125 million users worldwide.
The Messari Pulse findings identify four core layers within Bitget’s AI architecture: 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, the products extend AI across analysis, executions, infrastructure, and user engagement inside the Bitget platform.
According to 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 more than 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 more than 100 million impressions and a waitlist exceeding 25,000 users.
Messari 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 notes Bitget is the only exchange to offer all four simultaneously. Since then, the platform has 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, with Discord, WhatsApp, and in-app expansion planned in later releases.
“We want to provide billions of people with the ability to trade like Wall Street professionals,” said Gracy Chen, CEO of Bitget. “AI is becoming part of how modern trading infrastructure is built. Early adoption across our AI infra shows that users increasingly expect analysis, execution, and strategy integrated inside one trading platform.”
The full Messari Pulse report is available here: Messari Pulse: Bitget building the infra for AI-native trading.
Key takeaways
- Price move: Not disclosed
- Catalyst: Early traction across Bitget’s four-layer AI trading stack, including GetAgent, GetClaw, Agent Hub and Gracy AI, with notable user and engagement metrics from Gracy AI
- Key implication: Signals growing demand for AI-native trading infrastructure and potential increases in platform engagement and execution efficiency on Bitget
What drove the move
The Messari Pulse findings emphasize a broad push to embed AI across Bitget’s trading workflow. Gracy AI’s rapid uptake—tens of thousands of users within days of launch and hundreds of millions of impressions—suggests that retail traders are increasingly seeking integrated AI-driven analysis and guidance. The scale of adoption across GetAgent, with more than 450,000 registered users, reinforces demand for conversational analytics that inform trading decisions. The invite-only phase last year, which generated substantial impressions and a sizable waitlist, points to strong interest in AI-enabled trading tools among Bitget’s user base.
Agent Hub’s introduction in early 2026 and its support for multiple interfaces—MCP Server, Skills, REST and WebSocket APIs, plus a command-line tool—helps tie AI components directly to exchange functions. By offering all four components simultaneously, Bitget differentiates itself from peers that provide only segments of an AI-native stack. The expansion to five AI Skills and more than 15 data tools further broadens macro, technical, sentiment, and news-based insights available to users.
Market reaction
While there is no discrete price data tied to this development, the adoption metrics underscore a broader market tilt toward AI-native trading platforms within crypto markets. The breadth of Bitget’s AI stack—covering analysis, order execution, developer access, and strategic guidance—may influence user acquisition, engagement, and retention relative to peers that offer narrower AI tooling. Investors and analysts monitoring the crypto-technology sector are likely to view Bitget’s architecture as a potentially differentiating factor in a competitive landscape where efficiency and access to AI-driven signals matter for retail activity and liquidity provision.
What analysts are saying
According to Messari Pulse, the breadth of Bitget’s AI framework positions the exchange as a potential leader in AI-native trading infrastructure. The report highlights Bitget as the only exchange to deliver all four AI layers simultaneously, a factor that could translate into higher user engagement and improved execution workflows as traders increasingly demand integrated AI capabilities within a single platform.
Bigger picture
The emphasis on AI across Bitget’s platform aligns with a broader trend in financial services—building end-to-end AI-native ecosystems that combine analysis, execution, risk controls, and developer ecosystems. For crypto markets, this could mean faster, more scalable access to AI-driven signals and strategies, along with stronger risk controls through layered architectures like GetClaw. The push toward AI-native trading infrastructure resonates with ongoing debates about how AI will reshape retail participation, execution quality, and the speed at which algorithmic guidance can be scaled across millions of users.
Looking ahead, Bitget plans to extend GetClaw’s reach beyond Telegram to other channels, while continuing to expand Gracy AI’s capabilities and Agent Hub’s data tools. The Messari Pulse report also points to ongoing momentum in user adoption and platform capabilities, signaling that AI-native trading may become a more central element of Bitget’s value proposition and its competition within the crypto exchange space.
What to watch next: the full Messari Pulse report for deeper methodology and data breakdown, plus Bitget’s ongoing rollout of AI-native features, including additional channels for GetClaw and further enhancements to Gracy AI and Agent Hub. Investors and traders should monitor how these AI-enabled capabilities translate into user growth, engagement metrics, and potential improvements in execution efficiency on Bitget’s platform.
