Web Speed – AI Agent Web Navigation Layer (MCP)

A tool that converts HTML pages into easily readable sitemaps for AI agents, making them cheaper and faster to operate. It's MCP-native and allows AI agents to browse the web more efficiently without parsing full HTML or screenshots.

The MCP (Model Context Protocol) ecosystem is exploding right now as developers race to build agentic workflows on top of Anthropic's tooling standard, and anything that reduces token consumption in web-browsing agents has immediate cost appeal — browser automation via raw HTML or vision models is notoriously expensive per-run. No clear incumbent owns the "HTML-to-structured-navigation" slice specifically for MCP, though Firecrawl and Jina Reader compete in the adjacent "clean content extraction for LLMs" space and already have traction. The $1k–5k/mo revenue band is realistic for a developer tool with usage-based pricing, but it implies a fairly small paying base, which is the ceiling risk if this stays a thin utility layer rather than expanding into a broader agent infrastructure product. The biggest failure mode is commoditization: if Anthropic, OpenAI, or browser-use frameworks bake efficient HTML parsing directly into their agent runtimes, the standalone value proposition collapses almost overnight.