At the OKX NOW Global Product and Ecosystem Conference in Singapore, the exchange’s AI team laid out a user-first view of how artificial intelligence should work in finance. The team said AI systems need to understand user intent, respect boundaries set by users, and hand decisions back to people at points where human judgment is required. On that basis, OKX said it has built a broader stack aimed at moving AI agents from analysis into execution at scale. The lineup includes Agent Trade Kit, which connects user-built agents directly to OKX exchange data and lets them place trades, and On-chain OS, which supports natural-language interaction with on-chain assets. OKX also introduced Agentic Wallet for funding agents within preset guardrails, an AI agent marketplace for subscribing to professional trading-agent signals and authorizing copy trading, and an AI Builder program that lets developers list and monetize their own models.
According to on-site reporting by ChainCatcher, the OKX AI team presented its core idea at the OKX NOW Global Product and Ecosystem Conference in Singapore: AI and finance should start with the user.
The team said AI needs to understand user intent, respect boundaries defined by the user, and return control at decision points where human judgment is needed.
Product stack aimed at turning AI agents into execution tools
Based on that approach, the team said it has built a full set of capabilities designed to help AI agents move from being merely intelligent to taking action at scale.
- Agent Trade Kit: connects a user’s AI agent directly to OKX exchange data and allows it to execute trades.
- On-chain OS: supports natural-language operation of on-chain assets.
- Agentic Wallet: allows users to allocate funds to agents within preset guardrails.
- OKX AI Agent Marketplace: lets users subscribe to signals from professional trading agents and authorize copy trading.
- AI Builder program: allows developers to list and monetize their own models.
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