Bitget Wallet has unveiled a beta suite of AI agents aimed at integrating large language models with real-time blockchain data and trading infrastructure. Central to this initiative is the Bitget Wallet Skill, which allows AI agents to access on-chain market data using natural language queries. This development is seen as a response to the rising trend of agent-driven finance, where AI systems serve as analytical and operational tools in the digital asset sphere.
Created in collaboration with OpenClaw, the Bitget Wallet Skill connects to the company’s enterprise API to facilitate natural language access to a range of blockchain data, including key metrics like token information, candlestick market data, transaction statistics, rankings of gainers and losers, liquidity pool insights, contract security evaluations, and optimal swap routing quotes. The platform supports various major networks, including BNB Chain, Base, Solana, Ethereum, Arbitrum, TON, Tron, Sui, and Optimism. This multi-chain capability allows AI systems to conduct real-time analysis, manage portfolios, and monitor market conditions effectively.
During the execution phase, the AI agent determines the best trading path and generates unsigned transaction data, ensuring that users maintain complete control by reviewing and approving each transaction. The Skill has undergone testing in various agent environments such as OpenClaw, Manus, and Claude-based systems, making it suitable for both individual traders and teams looking to integrate AI into their market analysis and automation processes.
Bitget Wallet’s API infrastructure draws from an extensive liquidity pool sourced from over 110 decentralized protocols, facilitating trades across key blockchain networks. By making this infrastructure accessible to AI agents, Bitget Wallet is expanding its trading capabilities into environments beyond just the consumer app. “AI models are increasingly being used to interpret market data and assist with trading decisions, but they still operate largely outside of onchain execution infrastructure,” said Alvin Kan, COO of Bitget Wallet. He emphasized the need for systems that interlink AI with reliable blockchain data as liquidity becomes more dispersed across various chains.
In conjunction with the Skill, Bitget Wallet has also launched a Model Context Protocol (MCP) server that allows tools based on large language models to invoke API endpoints within different development environments. A Command-Line Interface (CLI) has also been introduced for scripting and automation purposes, positioning the API stack as programmable infrastructure beneficial for AI platforms and developers. This move underscores Bitget Wallet’s commitment to embedding blockchain infrastructure within the broader ecosystem of AI development.
Bitget Wallet bills itself as an everyday finance application designed to simplify the use of cryptocurrency in daily activities. With over 90 million users globally, the platform provides a comprehensive solution for sending, spending, earning, and trading cryptocurrencies and stablecoins. It emphasizes security and operates as a fully self-custodial wallet, which means it does not store or manage user funds, private keys, or personal data. All transactions are processed on public blockchains with user-generated signatures.
For further details, users can visit Bitget Wallet’s AI GitHub and official communication channels.
