Binance , the world's largest crypto exchange with more than 300 million registered users, on Thursday launched a platform that lets AI agents analyze markets and execute trades on users' behalf, bringing autonomous AI directly into the business of managing real money. Called Agent OS , the platform lets developers connect AI applications and agents to Binance's financial infrastructure.
It brings the exchange's existing tools and services such as Binance APIs, Binance Wallet Agentic Hub, Binance x402 transaction verification and payment facilitator API, and Binance Skill Hub, along with newly introduced support for its Model Context Protocol (MCP) . The platform also works with tools including OpenAI's ChatGPT and Codex, Anthropic's Claude Code, and Cursor, allowing users to authorize agents to access market data, view account information, and execute trades.
However, as the AI race moves away from chatbots that answer questions to agents capable of taking action, Binance is putting much of the responsibility for keeping them in check on users, who ultimately have to decide what agents can access and trade and set limits on what they can do. "Instead of total freedom, we put the power in users' hands to give them the granular access control of what they can do through the agent," said Jeff Li, vice president of product at Binance, in an interview. "We put [the control] at the account level to protect the users' funds.
" Binance does that primarily through dedicated "sub-accounts", which users can assign to agents and configure for specific activities, such as spot or futures trading. Withdrawals from those sub-accounts are blocked by default, Li told TechCrunch, creating a sandbox around an agent's activity. Users can also choose whether an AI agent must seek approval for every order or can execute trades autonomously once its permissions are configured, a Binance representative said.