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The newly-launched Skills mechanism lets AI agents such as Claude Code and OpenClaw automatically interpret users’ trading intent and trigger real-time actions via bgc, which exposes the full API suite with standardized JSON output, enabling smooth integration for scripts, data pipelines, and system-level AI agent workflows; so agents can move from analysis to execution with minimal setup.
Following the upgrade, Bitget Agent Hub now supports nine core capability modules and 58 tools. Developers can connect Bitget Agent Hub to OpenClaw in about three minutes via a simple three-step configuration. Once connected, AI agents can be granted direct access to real-time market data, spot and futures trading, account and asset management, and more, enabling intelligent trading agents that autonomously monitor markets, execute strategies, and place trades, moving toward truly AI-driven on-chain and off-chain trading.
“As one of the core strategic focuses this year, AI is the tool to translate intent into execution with speed and clarity. With AI, our mission is to enable 125 million users and beyond trade like Wall Street pros. With this, we provide the broadest functional coverage and security amongst major exchanges. While AI trading still requires more education and trust, the inflection point for it is approaching.” said Gracy Chen, CEO at Bitget.
Bitget is building an AI-native trading infrastructure where Agent Hub serves as a unified entry point for AI to trade on an exchange, supporting a complete chain from natural-language instructions to live order execution, and from a single interface to an extensible ecosystem.
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