{
  "id": 4777359,
  "title": "Token-Efficient Data Reasoning Agents via Adaptive Structuring of Unstructured Data",
  "url": "https://urgent.news/2026/08/31/token-efficient-data-reasoning-agents-via-adaptive-structuring-of",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-31T16:53:45.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.31082v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Valuable data remains embedded in unstructured sources: web pages, reports, contracts, filings, earnings calls, and PDFs. The big bet in enterprise AI is deploying LLM agents that reason over this data to answer complex questions for every knowledge worker. Agents can do this today, but at prohibitive cost. Each question repeatedly opens large documents to recover scattered evidence, consuming up…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}