Bitget Wallet, a prominent multi-chain cryptocurrency wallet, has rolled out Skill Beta, an exclusive suite of AI agents designed to enhance trading capabilities through the integration of large language models (LLMs) with a robust blockchain trading architecture. This significant development aims to allow AI mechanisms to gather on-chain data in real time, thereby facilitating effective trading decisions across multiple blockchain networks.
According to an official press release from Bitget Wallet, Skill Beta leverages AI technology to enable seamless trading across various major blockchain ecosystems, including BNB Chain, Solana, Ethereum, Base, and more. This initiative comes at a time when interest in independent on-chain bots is rapidly increasing, as evidenced by over 4.4 million new users engaging in AI-led crypto activities on BNB Chain alone.
The Skill project harnesses OpenClaw to merge AI agent ecosystems with the enterprise API of Bitget Wallet. This integration empowers AI tools to access blockchain data via natural language queries. As a result, developers and traders can effectively analyze candlestick trends, token information, rankings of top gainers and losers, smart contract audits, and indicators related to liquidity pools.
Skill Beta not only facilitates AI-driven multi-chain trading but also enhances access to liquidity across different networks, such as Optimism, Sui, Tron, TON, Arbitrum, and more. By monitoring various multi-chain markets, AI agents can offer comprehensive portfolio management and identify optimal trading routes while allowing users full oversight to sign and review each transaction.
The system has undergone rigorous testing within various trading environments, including Manus, Claude-based tools, and OpenClaw, demonstrating its effectiveness for both trading teams and individual traders interested in automation and market analysis through AI.
In addition to these functionalities, Skill Beta utilizes the robust infrastructure of Bitget Wallet’s API, aggregating liquidity from over 110 decentralized ecosystems. This approach aims to provide an unparalleled trading experience across well-established blockchains.
Alvin Kan, COO of Bitget Wallet, highlighted the growing tendency to use AI models for market data interpretation and trading decisions. He noted that despite their increasing prevalence, these models mainly operate outside established on-chain execution infrastructures. He emphasized the necessity for systems that connect AI to proven trading routes and blockchain data, indicating this integration as a natural progression in the platform’s evolution.
Furthermore, Bitget Wallet has introduced the Model Context Protocol (MCP) server, enabling LLM tools to invoke programmable interface (PI) endpoints in development environments. Additionally, a Command-Line Interface (CLI) has been launched, supporting automated workflows and scripting. This integration marks a pivotal shift in Bitget Wallet’s infrastructure, transforming it into programmable blockchain tools accessible to both developers and AI platforms.
