Introducing Octen Extract: A Fetch API That Tells You What the Page Is

Octen has launched Extract, a web-fetching API designed to help AI agents assess pages before committing context and reasoning resources to their contents. Alongside cleaned page content, the service returns page_structure labels that identify articles, index pages, login walls, CAPTCHA screens, errors, and other non-content pages; category labels from a taxonomy of more than 160 topics; and optional query-based highlights that provide relevance-ranked passages instead of full-page text. The company argues that these signals reduce wasted tokens, prevent agents from mistaking access barriers for absent information, and allow research and coding workflows to route sources according to their reliability and subject matter before models read them. Extract uses the page-understanding system behind Octen’s search index, supports native PDF processing, accepts up to 20 URLs per request, and is generally available for $1 per 1,000 successfully processed pages, with all features included under one price.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.