AI 导读
Expand 推出网页抓取与爬取服务 Expand Fetch，包含视觉模型 Iris（保留表格、图标和布局）与 JSON 模型 X-Ray（挖掘页面隐藏数据），每次 fetch 附带 Wayback Machine 式溯源链接。在 326 个网页共 1,094 个问题的基准上，使用 Expand 的 Agent 答对 74%，次优 API 为 55%；定价 $1 per 1,000 fetches，现已上线 expand.ai。
正文
extra dope nice work team
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
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