Bitget Wallet Launches Skill Beta for AI-Powered Multi-Chain Trading

Bitget Wallet, a renowned multi-chain cryptocurrency wallet, has announced Skill Beta, its exclusive AI agent suite. With Skill Beta, Bitget Wallet intends to link large language models (LLMs) to a robust blockchain trading architecture.

Bitget Wallet revealed in its official press release that this next-gen integration permits AI mechanisms to collect on-chain data in real time and help with effective cross-network trading decisions. So, the new initiative AI agents can seamlessly trade across notable blockchain ecosystems like BNB Chain, Solana, Ethereum, Base, and more.

Bitget Wallet Skill Beta Drives AI-Powered Multi-Chain Trading

With Skill Beta, Bitget Wallet interlinks resilient blockchain trading models with large language models. This allows AI agents to smoothly carry out trading operations across multiple blockchains. The release takes place amid the growing adoption of independent on-chain bots, as the regular engagement in AI-led crypto activity has eventually surpassed the 4.4M new consumers on BNB Chain.

Particularly, the Bitget Wallet Skill project utilizes OpenClaw to incorporate AI agent ecosystems with the enterprise API of Bitget Wallet. This provides AI tools with the access to blockchain data via natural language. Developers and traders can effectively query candlestick-based trends, token information, rankings of losers and gainers, smart contract audits, and liquidity pool indicators.

Skill Beta Enables AI-Driven Multi-Chain Trading and Liquidity Access

By backing well-known networks like Optimism, Sui, Tron, TON, Arbitrum, Ethereum, Solana, Base, and BNB Chain, Skill lets AI agents observe diverse multi-chain markets and help with comprehensive portfolio management. When it comes to execution, Skill creates ideal trading routes along with unsigned transfer data, providing consumers with complete oversight to sign and review each transfer.

This system has already gone through testing with noteworthy agent environments like Manus, Claude-based tools, and OpenClaw, highlighting its suitability for trading teams and individual traders pursuing AI-led automation and market analysis.

Apart from that, the suite leverages the infrastructure that drives the API of Bitget Wallet. It also aggregates liquidity coming from more than 110 decentralized ecosystems to back unparalleled trading experience across well-known blockchains.

Linking AI Models and On-Chain Execution to Advance Blockchain Automation

Bitget Wallet’s COO, Alvin Kan, also reflected on this development. He said, “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.”

So, he added that the liquidity fragmentation and more data-led trading workflows, systems capable of connecting AI to dependable trading routing and blockchain data are getting wider traction. Keeping this in view, extending the platform’s API to resilient agent-based environments serves as a natural move in its evolution.

According to Bitget Wallet, it has also unveiled the Model Context Protocol (MCP) server that enables large language model tools for the invocation of PI endpoints in development environments.

Additionally, a Command-Line Interface (CLI) is available, backing automated workflows and scripting. This synergy redefines the infrastructure of Bitget Wallet into blockchain tools that can be programmed for developers and AI platforms alike.