A Messari report cited by Bitget found that nearly half a million users had adopted the exchange's AI trading tools. The report covers a four-layer system within Bitget's broader trading platform.
It identifies four main parts of Bitget's AI setup: GetAgent for conversational market analysis, GetClaw for automated trade execution, Agent Hub for developer access to exchange functions, and Gracy AI, a strategy interface built around the public market commentary of Chief Executive Officer Gracy Chen.
Figures in the report indicate strong early use of several of those products. According to Bitget, Gracy AI attracted more than 460,000 users and generated more than 2.6 million replies within 11 days of its February launch, while producing more than 390 million impressions over the same period.
GetAgent has also passed 450,000 registered users since launch, the company said. During an invite-only phase from July to August 2025, it generated more than 100 million impressions and built a waiting list of more than 25,000 users.
Four layers
The report describes Agent Hub as the infrastructure layer connecting AI systems directly to exchange functions. Launched in February 2026, it supports MCP Server, Skills, REST and WebSocket APIs, as well as a command-line interface.
Bitget says it is the only exchange to offer all four of those access methods together. The platform now includes 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 forms the execution layer in the stack. Bitget says the tool operates within a constrained structure designed to limit risk for retail users.
Under that model, trades are executed through dedicated sub-accounts separate from user-held assets. Sandbox environments and fund limits define where the agent can operate and how much capital it can deploy.
GetClaw is currently live on Telegram, with Discord, WhatsApp, and in-app versions planned for later releases.
User demand
The figures indicate growing interest among crypto traders in tools that combine analysis, execution, and strategy into a single interface. Exchanges across the digital asset sector have been adding AI-based features to make trading tools more accessible to retail users and developers.
Bitget says its broader platform serves 125 million users globally. In addition to crypto markets, it offers access to tokenised stocks, exchange-traded funds, commodities, foreign exchange, and precious metals.
The report's findings also underline the role of developer infrastructure in the next phase of trading automation. By exposing exchange functions through APIs, command-line tools, and structured AI interfaces, platforms can let external builders connect models and software agents directly to market tools.
That approach also raises questions about controls, particularly when automated systems place trades on behalf of users. Bitget says its execution design includes isolated sub-accounts and capital limits to reduce the risk that autonomous actions could affect funds held elsewhere on the platform.
Messari is widely followed in the digital asset market for its research on exchanges, protocols, and trading trends. The study cited by Bitget focused on early uptake of the company's AI products rather than broader market share or revenue effects.
"We want to provide billions of people with the ability to trade like Wall Street professionals," said Gracy Chen, Chief Executive Officer 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."