Bitget AI tools attract nearly 500,000 users, Messari
Messari reports Bitget’s AI stack drew nearly 500,000 users; Gracy AI logged over 460,000 users and GetAgent topped 450,000, producing millions of impressions since launch.
A Messari Pulse report finds early adoption of Bitget’s four-layer AI trading stack has reached nearly 500,000 users. Gracy AI recorded more than 460,000 users and GetAgent exceeded 450,000 registrations, with both products generating millions of impressions and interactions since their launches.
Messari identifies the stack’s four layers as GetAgent for conversational market analysis, GetClaw for autonomous execution, Agent Hub for connecting external AI systems to exchange functions, and Gracy AI, a strategic guidance interface built around the public market voice of Bitget’s CEO, Gracy Chen. Bitget presented the usage figures to Messari, and the report notes Bitget offers all four layers concurrently.
According to figures cited in the report, Gracy AI produced over 2.6 million replies and roughly 390 million impressions in the first 11 days after its February launch. GetAgent ran an invite-only phase in July–August 2025 that produced more than 100 million impressions and a waitlist exceeding 25,000 users; the product has since moved to broader availability.
Agent Hub launched in February 2026 and provides infrastructure for external AI systems to access Bitget services. The hub supports an MCP Server, Skills, REST and WebSocket APIs, and a command-line interface, enabling developers to build tools that interact with the exchange’s trading functions.
GetClaw, the autonomous execution layer, operates under rules intended to limit retail risk. Trades by agents execute through dedicated sub-accounts that are separated from users’ main holdings. Deployments run in sandbox environments and are subject to preset fund limits. GetClaw is currently available on Telegram, with rollouts to Discord, WhatsApp and the Bitget app planned.
Bitget also expanded analytic capabilities within the stack, adding five AI Skills and more than 15 integrated data tools. The tools cover macroeconomic analysis, technical signal detection, sentiment tracking, market intelligence and news aggregation.
Gracy Chen, Bitget’s CEO, described the company’s objective as “providing billions of people with the ability to trade like Wall Street professionals,” and said AI is part of how modern trading infrastructure is built.
Bitget reports a global user base of more than 125 million and says the platform provides access to over two million crypto tokens and a range of tokenized assets including stocks, ETFs, commodities, foreign exchange and precious metals. The report and Bitget materials include standard warnings that digital assets are volatile and that information provided should not be taken as financial advice.
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