Expand Fetch 上线：给 agent 用的网页抓取 API
Expand 推出抓取与爬取 API，含视觉模型 Iris 和结构化模型 X-Ray，并附 Wayback 式溯源，宣称在 1094 题基准上正确率 74%，定价每千次抓取 1 美元。
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