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AgentFetch
A token-budgeted web-fetch API for agents that returns clean Markdown, estimates page size before fetching, auto-routes HTML/JS/PDF extraction, and bills per call with no subscription.
Visit AgentFetch
https://agentfetch.dev
About AgentFetch
AgentFetch is a web-fetch API built specifically for the economics of agent context windows. Its founding number is that a plain fetch() of a modern web page spends 70 to 85 percent of the returned tokens on navigation, footers, cookie banners and inline scripts — content the agent will never use but must still pay for. AgentFetch returns clean Markdown instead, budgeted to a token ceiling the caller specifies. Two features follow directly from that framing. The first is estimate_tokens, a separate call that tells you how large a page will be before you fetch it, so an agent never blows its window on a page that turns out to be 50,000 tokens. The second is auto-routing: rather than making the caller choose an extraction strategy, AgentFetch picks one per URL — Trafilatura for simple HTML, Jina for harder pages, Firecrawl for JavaScript-heavy sites, pypdf for PDFs. A six-hour cache by default drops the cost of a repeat fetch by roughly fiftyfold. It exposes a single MCP tool for Claude Desktop and Claude Code, ships a Python package, and is listed as an external integration in the official LangChain tools directory. Billing is per call with no subscription, positioning it as a drop-in Firecrawl alternative.
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Alternatives to AgentFetch
View all AgentFetch alternatives →fastCRW
A managed search, scrape, crawl, extract and monitor API for AI agents at one credit per page across every renderer, AGPL-3.0 open source with free self-hosting and first-class MCP support.
Maxun
Open-source no-code platform to crawl, scrape, search, and AI-extract web data, with MCP, SDKs, and a visual recorder
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