Bitget expanded its AI-powered Agent Hub platform with two new modules — a Skills mechanism and a command-line interface — that the exchange says allow developers to connect AI trading agents such as OpenClaw to live market execution in roughly three minutes.
What Happened: Agent Hub Upgrade
The Seychelles-based exchange announced the upgrade on Mar. 9, adding Skills and CLI tools to the Agent Hub infrastructure it first began building with Model Context Protocol (MCP) support and REST/WebSocket API access in mid-February.
Skills lets AI agents like Claude Code and OpenClaw interpret a user's trading intent and trigger real-time actions through standardized JSON output. The CLI tool, called bgc, exposes the full API suite for scripts, data pipelines, and system-level agent workflows.
With the additions, Agent Hub now supports nine capability modules and 58 tools. Developers can link the platform to OpenClaw through a three-step configuration process, granting AI agents access to real-time market data, spot and futures trading, and account management.
"AI is the tool to translate intent into execution with speed and clarity," said Gracy Chen, CEO at Bitget. "With AI, our mission is to enable 125 million users and beyond trade like Wall Street pros."
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Why It Matters: AI Trading Infrastructure
The upgrade positions Bitget as one of the first major exchanges to offer a unified entry point for AI agents to interact with trading infrastructure at scale.
Most exchange APIs require significant developer effort to integrate with AI models. Bitget's approach bundles protocol-level access, developer tooling, and execution into a single hub — a setup the company claims offers the broadest functional coverage among major platforms.
The move comes as competition intensifies among crypto exchanges to attract developers building AI-native trading applications, quantitative strategies, and automated systems.
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