The newly published Messari Pulse report has shed light on the rapid early adoption of Bitget's AI-powered trading infrastructure, revealing that nearly half a million users have already engaged with the platform's comprehensive AI stack. Bitget, the world's largest Universal Exchange (UEX) serving over 125 million users globally, has built a four-layer product system designed to integrate artificial intelligence across analysis, execution, developer tools, and strategic guidance.
Four Core Layers of Bitget's AI Architecture
According to the Messari report, Bitget's AI architecture comprises four distinct layers: GetAgent for conversational market analysis, GetClaw for autonomous execution, Agent Hub enabling direct 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 capabilities across the entire trading lifecycle within the Bitget platform.
Explosive Growth: Gracy AI and GetAgent
Bitget data cited in the report shows that Gracy AI attracted more than 460,000 users and generated over 2.6 million replies within its first eleven days after launch in February. The same period produced over 390 million impressions. GetAgent has also surpassed 450,000 registered users since its debut. Its invite-only phase, running from July to August 2025, drove over 100 million impressions and a waitlist exceeding 25,000 users.
Agent Hub and Execution Layer Details
The report highlights Agent Hub, an infrastructure layer launched in February 2026 that connects AI systems directly to exchange functions. It supports MCP Server, Skills, REST and WebSocket APIs, and a command-line interface—making Bitget the only exchange to offer all four simultaneously, according to Messari. The platform has since expanded to include five analytical AI Skills and more than 15 integrated data tools covering macro analysis, technical signal detection, sentiment monitoring, market intelligence, and news aggregation.
GetClaw, the autonomous execution layer, operates under a constrained structure designed for retail risk control. Trades are executed 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 at messari.io.