Bitget Is Launching a Unified AI Ecosystem as Over 1 Million Users Now Rely on AI Tools
Key takeaways:
- Bitget has launched Bitget AI, a unified ecosystem combining GetClaw, GetAgent, and Agent Hub.
- The exchange says its AI-powered tools have reached over 1 million users and facilitated $1.2 billion in trading volume.
- Upcoming features include AI Trading Playbooks, autonomous trade execution, and expanded strategy-building tools.
Bitget has announced the rollout of Bitget AI, a unified AI-powered trading ecosystem designed to support market analysis, strategy development, trade execution, and risk management.
Welcome to the Bitget AI Era.
— Bitget (@bitget) May 14, 2026
We aren’t just "adding" AI. We are Agent-Native. We rebuilt the exchange around agents to redefine the future of trading.
👥 1M+ users
📈 $1.2B+ volume
🛠️ 58+ AI tools
Join us to build:
The new platform combines Bitget’s existing GetClaw and GetAgent products with Agent Hub, a developer-focused platform that provides API access and AI model integrations. According to Bitget, its AI-powered tools have already surpassed 1 million users and facilitated more than $1.2 billion in trading volume across over 58 tools.
Bitget combines GetClaw, GetAgent, and Agent Hub
At the core of Bitget AI is GetClaw, an installation-free autonomous AI trading agent that monitors markets, portfolio exposure, risk, and emerging crypto signals in real time. Built on OpenClaw and integrated with Bitget’s Agent Hub, GetClaw is designed to provide alerts, adapt insights to user behavior, and support AI-assisted trading across Bitget and messaging platforms.
GetAgent, meanwhile, currently functions as an AI assistant that provides market insights and answers market-related questions. As part of the Bitget AI rollout, the exchange plans to expand GetAgent with autonomous trade execution capabilities and AI Trading Playbooks.
Agent Hub ties the ecosystem together by giving developers access to APIs and AI model integrations. Bitget says this creates a connected environment where users and builders can develop, deploy, and scale AI-driven trading strategies.
AI Trading Playbooks are currently in beta
One of the key upcoming features is AI Trading Playbooks, which Bitget says will allow users to create, test, launch, host, and share trading strategies written in natural language.
The feature will be supported by data SDKs, trading framework standards, and marketplace distribution. Bitget says the goal is to make strategy development more accessible while still providing the infrastructure needed for professional traders and developers.
Users can currently apply for beta access to GetAgent, with broader availability expected over the coming months.
Bitget says AI is moving from insights to execution
Bitget CEO Gracy Chen said the rollout reflects a broader shift in how AI is being used in trading, moving beyond analysis and toward more active participation in markets.
"The role of AI in trading is starting to shift from chat to execution," Chen said. "The conversation is no longer just about using AI to interpret markets, but about helping users organize strategies, automate parts of their trading process, and interact with markets more efficiently."
Bitget has described this direction as part of its move toward becoming an "agent-native exchange," where human traders and autonomous AI agents can operate side by side.
The exchange’s latest User Asset Allocation Report found that 51% of Bitget users are already using AI-powered tools to support investment decisions. According to Bitget, users rely on AI to interpret earnings releases, commodity price movements, macroeconomic developments, and onchain signals across asset classes.
Still, the expansion of AI from market analysis into trade execution will likely require a higher degree of user trust. While AI-powered trading tools are gaining traction, the adoption of autonomous execution features will depend on how effectively platforms address transparency, risk controls, and user oversight.
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