Atlas turns messy web pages into clean, structured, token-efficient Markdown and data for AI agents and applications. Its deterministic web compiler removes HTML clutter without asking a model what a page means, helping reduce unnecessary token usage and deliver the information that matters.
Use Atlas to compile web pages, scrape individual URLs, map websites, and crawl multiple pages through a single developer API. Connect AI tools like Cursor, Claude Desktop, and Windsurf through MCP, or integrate directly using JavaScript, Python, and Go clients.
Less noise. Fewer wasted tokens. More useful web data.
We built Atlas because the "LLM Token Tax" on web data was getting out of hand. Feeding raw HTML into LLMs wastes most of your context window on non-substantive junk: scripts, navigation menus, and ads. This does not just waste money; it dilutes model attention and leads to hallucinations. We wanted a tool that behaves like a compiler: deterministic, fast, and never asking a model what a page means. Atlas turns any web page, documentation portal, or SPA into clean, token-budgeted Markdown and structured data before it ever reaches your models. Whether you are connecting Cursor or Claude via MCP, building autonomous research agents with our clients, or using Atlas in your production RAG system through the REST API, Atlas makes the live web usable for machines without the noise.