Cloudflare's System One extraction model — the first entrant in a sibling class to decision models, answering with typed values instead of option probabilities. One parallel pass over text and up to four images fills named fields: text spans with character offsets, computed numbers and dates, durations, lists, estimate distributions inside bounds you declare (median plus an 80% interval), and per-step forecast series. Every answer carries confidence and p_null; a field the input doesn't determine returns null rather than a plausible guess. Hosted on Workers AI at $0.10/M input, output free, 64K context; open weights promised. The launch post is honest about the seams — multi-step arithmetic, estimates without evidence, basic forecasting — and pairs Clairic with Clef in a claims pipeline that ran 3.2× faster than all-LLM at half the cost, where Gemma 4 and Qwen failed the extraction step outright; its 21-day TSA forecast landed 17 of 21 days inside the stated 80% interval.