Bitget AI Hits 1 Million Users and $1.2B in Agent Trading Volume Across 58 Tools

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Bitget’s unified artificial intelligence (AI) trading platform has crossed 1 million users and recorded more than $1.2 billion in cumulative trading volume across 58 AI-powered tools, the exchange revealed this week. Bitget AI Hits 1 Million Users and $1.2B in Agent Trading Volume Across 58 Tools Key Takeaways - Bitget AI disclosed that it crossed 1 million users and $1.2 billion in trading volume across 58 tools as of mid-May 2026. - CEO Gracy Chen signals Bitget is shifting from AI chat features to full execution, targeting an agent-native exchange model. - AI Trading Playbooks launched in beta, letting traders build and deploy natural-language strategies through Bitget’s marketplace. Bitget Launches Unified AI Trading Ecosystem The platform, now branded Bitget AI, combines market analysis, strategy execution, and risk management into a single infrastructure layer accessible to retail traders and developers. The announcement positions the exchange as moving toward what it calls an “agent-native” model under its Universal Exchange (UEX) framework. At the center of the system are two existing tools: Getclaw, a zero-install AI agent built for real-time market insights, and Getagent, an AI assistant that handles strategy execution and automated trading. Both feed into Agent Hub, a developer platform that provides API access, model integrations, MCP Server support, and CLI tools for building and deploying custom agents. Gracy Chen, CEO of Bitget, said the platform’s direction reflects a broader shift in how AI fits into trading. “The role of AI in trading is starting to shift from chat to execution,” Chen said. “Platforms will need to evolve around that behavior, and Bitget AI reflects how we see trading infrastructure developing over time.” The exchange says the unified system creates a closed-loop environment where insight, strategy, and execution connect without switching between tools. Retail traders and autonomous agents can operate side by side within the same infrastructure, with dedicated sub-accounts and risk controls, including sandbox environments and capital limits. A new feature called AI Trading Playbooks is currently in beta. The tool lets traders create strategies in natural language, then backtest, deploy, host, and distribute them through a built-in marketplace. Supporting infrastructure includes data SDKs and trading harness standards. The April 2026 Messari Pulse report noted that Getagent had reached 450,000 users on its own before the unified Bitget AI branding was introduced. The May announcement consolidates those figures and launches a dedicated landing page. Bitget describes itself as the world’s largest Universal Exchange, with more than 125 million users and access to crypto, tokenized assets, stocks, ETFs, commodities, foreign exchange, and more. The AI push is part of a stated effort to build infrastructure where AI agents handle parts of the trading process that previously required manual input. The platform’s metrics focus on user adoption and order flow rather than revenue, which positions Bitget AI as a competitive differentiator in an exchange market where AI tools have expanded beyond early use cases. Agent Hub gives developers REST and WebSocket support alongside a CLI for building out custom agents. That infrastructure layer is how Bitget expects external builders to extend the platform’s capabilities. The figures cited in the announcement are self-reported by Bitget. As with any crypto platform, users should consider volatility risks and conduct independent research before engaging with AI-driven trading tools. Bitget AI’s rollout adds to a pattern across major exchanges of moving AI capabilities from optional add-ons to core infrastructure. Whether adoption figures translate into sustained trading activity will be a metric worth watching as agent-native platforms develop. Big Dot Energy: Saylor Chart Puts Strategy’s Next Bitcoin Buy on Watch Big Dot Energy: Saylor Chart Puts Strategy’s Next Bitcoin Buy on Watch Michael Saylor’s orange-dot chart renewed focus on another potential Strategy bitcoin buy disclosure after showing 818,869 BTC and reserve value… Read NowMichael Saylor’s orange-dot chart renewed focus on another potential Strategy bitcoin buy disclosure after showing 818,869 BTC and reserve value…

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