Bitget Wallet has launched a beta suite of AI agents aimed at enhancing the connection between large language models and automation tools with blockchain data and trading infrastructure. At the heart of this launch is the Bitget Wallet Skill, a tool that allows AI agents to retrieve on-chain market data using natural language queries. This move is a response to the increasing interest in agent-driven finance, where AI systems serve as both analytical and operational interfaces for navigating digital asset markets.
In collaboration with OpenClaw, Bitget Wallet Skill seamlessly integrates AI agent platforms with Bitget Wallet’s enterprise API. This integration facilitates natural language access to crucial blockchain data and prepares for swaps. Users can access a variety of functionalities, including token information inquiries, market data based on candlestick patterns, transaction statistics, rankings of gainers and losers, liquidity pool metrics, contract security checks, and optimal swap routing quotes. The system operates across major networks such as BNB Chain, Base, Solana, Ethereum, Arbitrum, TON, Tron, Sui, and Optimism, enabling real-time analysis of multi-chain markets, effective portfolio management, and continuous monitoring.
During the execution stage, the agent not only generates the most efficient trading routes but also creates unsigned transaction data, ensuring that users maintain full control over their transactions by reviewing and approving them. The Skill has been rigorously tested across various agent environments, including those powered by OpenClaw, Manus, and Claude-based systems, making it suitable for both individual traders and teams looking to integrate AI-driven workflows into their market analysis and automation systems.
The suite operates on the same infrastructure that powers the Bitget Wallet API, which aggregates liquidity from over 110 decentralized protocols and facilitates trading across major blockchains. By extending this infrastructure to accommodate AI agents, Bitget Wallet is transitioning its trading engine into agent-based environments that move beyond the traditional consumer app framework.
“AI models are increasingly being used to interpret market data and assist with trading decisions, but they still operate largely outside of on-chain execution infrastructure,” stated Alvin Kan, COO of Bitget Wallet. He emphasized that as liquidity becomes fragmented across chains and trading workflows evolve to rely more on data, there is a pressing need for systems that can connect AI directly to dependable blockchain data and routing mechanisms. He noted that extending their API to agent-based environments represents a natural evolution while ensuring that custody and transaction approval remain fully with the user.
In tandem with the Skill, Bitget Wallet has also unveiled a Model Context Protocol (MCP) server, designed to allow LLM-based tools to call API endpoints within development environments. Furthermore, a Command-Line Interface (CLI) is now available for scripting and automation. These additions position Bitget Wallet’s API stack as a programmable infrastructure that connects both AI platforms and developers, signifying the company’s commitment to integrating blockchain infrastructure within the broader AI development landscape.
