The Fetch API has been a game-changer for us. It quickly turns messy HTML into clean, LLM-ready Markdown, which has significantly reduced our token costs and improved AI accuracy. On top of that, the generous free tier for Search and Fetch makes it a low-risk, high-value addition to our stack. TinyFish integrates seamlessly with my stack. The native MCP support makes connecting to Claude Code and Cursor pretty easy.
I built my own AI news-monitoring and research tool, and Fetch is the piece that made it viable. I hand it a URL and get back clean Markdown instead of a wall of nav bars, cookie banners and ads, which cuts my token cost on every LLM call downstream. Search and Fetch being free is genuinely rare — everyone else meters exactly this. Integration was trivial: one API key, plain REST, no SDK to adopt. Failed URLs not counting against quota is a small thing that matters a lot when you're pulling from news sites that move or drop content.
Over my last 100 fetches the success rate is 98%, with an average latency of 2.7 seconds. Most pages come back in under two seconds, which matters when I'm processing a batch of feed links in one go.
Onboarding was about as short as it gets: sign up, copy the key, first successful fetch inside five minutes, no credit card in the way. And the output is built for the job — Fetch returns content already shaped for an LLM to read, so the AI layer of my own tool gets a clean input instead of raw HTML it has to fight through.
The dashboard deserves a mention too. Success rate, average latency, extracted content size and credit usage are all on the landing page for each API — I went looking for my failure rate and had it in one click, without digging through logs. For a free tier that's more observability than I expected.
Through my brand I serve over 200,000 visitors a month, so I live inside research tools all day. TinyFish has become my default web layer inside Claude Code and OpenCode. The MCP connection was easy to set up, and I was running searches and fetches within minutes. Over the past two to three months it has handled my daily query volume without breaking a sweat. The dashboard is clean, the search results are relevant, and I like that I can jump from a quick search to a full browser session without leaving my coding environment.
TinyFish is a unified web operations platform built for AI agents and AI applications. It enables developers to search the live web, extract clean structured content, browse dynamic websites, and automate authenticated workflows through a single platform. By providing reliable access to current web data and web interactions, TinyFish helps AI systems deliver more accurate answers, reduce operational complexity, and scale production workloads.