Operating-Layer Controls for Onchain Language-Model Agents Under Real Capital

This research investigates the reliability of autonomous language-model agents trading real ETH in an onchain market, evidenced by a 21-day deployment generating millions of invocations and $20M in volume. The study demonstrated 99.9% settlement success, yielding a large-scale trace to analyze the robustness of these systems beyond the base model.