AI RESEARCH
Operating-Layer Controls for Onchain Language-Model Agents Under Real Capital
arXiv CS.AI
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ArXi:2604.26091v1 Announce Type: new We study reliability in autonomous language-model agents that translate user mandates into validated tool actions under real capital. The setting is DX Terminal Pro, a 21-day deployment in which 3,505 user-funded agents traded real ETH in a bounded onchain market. Users configured vaults through structured controls and natural-language strategies, but only agents could choose normal buy/sell trades.