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# search tool for agents

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NaceAI Oct 26, 2026
Drex for Search goes generally available: agents pick the page before reading, cutting steps 62% across 529 professional questions
Drex for Search is a search tool for AI agents in which Drex, a decision model, decides before the agent reads anything where the answer can be: which folder, file and page, and inside a spreadsheet which table and column. Across 6 professional-work benchmarks and 529 questions, coding agents using it raised accuracy from 63.1% to 67.1%, took 62% fewer steps, used 56% fewer input tokens, and cut median time per question from 80.8 s to 35.5 s. On the 133 questions of OfficeQA Pro, all ten agent-and-model pairs took fewer turns and fewer input tokens, and eight answered more questions correctly.
Drex for Search is a search tool for AI agents in which Drex, a decision model, decides before the agent reads anything where the answer can be: which folder, file and page, and inside a spreadsheet which table and column. Across 6 professional-work benchmarks and 529 questions, coding agents using it raised accuracy from 63.1% to 67.1%, took 62% fewer steps, used 56% fewer input tokens, and cut median time per question from 80.8 s to 35.5 s. On the 133 questions of OfficeQA Pro, all ten agent-and-model pairs took fewer turns and fewer input tokens, and eight answered more questions correctly.
Drex for Search Drex search tool for agents
NaceAI Oct 26, 2026
Agents stop paging through files: Drex for Search picks the spot first, cutting steps 62% and input tokens 56% across 529 questions
When an AI agent needs an answer from a real folder of reports, ledgers and contracts, it searches, opens a file, reads pages and searches again, sometimes for twenty or thirty steps. Drex for Search moves that decision earlier: before the agent reads anything, the decision model Drex decides which folder, file and page can hold the answer, and inside a spreadsheet which table and column, so the agent reads only those places and returns the source. Across 6 professional-work benchmarks and 529 questions, coding agents using it took 62% fewer steps and 56% fewer input tokens, raised accuracy from 63.1% to 67.1%, and cut median time per question from 80.8 s to 35.5 s.
When an AI agent needs an answer from a real folder of reports, ledgers and contracts, it searches, opens a file, reads pages and searches again, sometimes for twenty or thirty steps. Drex for Search moves that decision earlier: before the agent reads anything, the decision model Drex decides which folder, file and page can hold the answer, and inside a spreadsheet which table and column, so the agent reads only those places and returns the source. Across 6 professional-work benchmarks and 529 questions, coding agents using it took 62% fewer steps and 56% fewer input tokens, raised accuracy from 63.1% to 67.1%, and cut median time per question from 80.8 s to 35.5 s.
Drex for Search search tool for agents decision model Coding agent

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