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

By bitcoin.com
May 18, 2026
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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

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.

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.

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.

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.

Disclaimer: The information on this page may have been obtained from third parties and does not necessarily reflect the views or opinions of BitKan. This content is provided for general informational purposes only, without any representation or warranty of any kind, nor shall it be construed as financial or investment advice. BitKan shall not be liable for any errors or omissions, or for any outcomes resulting from the use of this information. Investments in digital assets can be risky. Please carefully evaluate the risks of a product and your risk tolerance based on your own financial circumstances. Products mentioned in this article may not be available in your region.

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