AI 导读
Expand 发布 Expand Fetch，一种新的网页抓取方式，官方基准（326 个网页、1094 个问题）中 Agent 使用 Expand 答对 74%，次优 API 为 55%。产品包含视觉模型 Iris（保留表格、图标与版式）、JSON 模型 X-Ray（提取页面隐藏数据），每条抓取记录可回溯到原始来源，定价 $1 per 1,000 fetches。作者补充说明，扁平化文本会让定价表中表示未包含的小叉号消失，导致 Agent 自信地答错。
正文
Agents are only as good as the page they think they saw.
A tiny ✗ in a pricing table means “not included.” Flatten the page to text and it vanishes, and the agent confidently gets it wrong.
@TimSuchanek’s Expand Fetch keeps tables and icons intact and saves the page, so you can see exactly what the agent read. Pretty pretty useful! :)
Introducing Expand Fetch, a new way to scrape and crawl the web. Your agent has never seen the web. No wonder it gets basic questions wrong. Traditional Markdown APIs lose critical details. So we trained two System one models to change that: Iris, a vision model that sees pages like you do, preserving tables, icons, and layouts. X-Ray, a JSON model that uncovers the hidden data behind every page. Every fetch also comes with a Wayback Machine. Every line links back to its source, so you can verify exactly what your agent saw. Three products. One API. On our benchmark of 1,094 questions across 326 challenging web pages, agents using Expand got 74% right. The next best API got 55%. Available today at $1 per 1,000 fetches. Try it at http://expand.ai在 X 查看被引用的帖子
来源：Chubby♨️ · x.com