TinyFish Launched Unified Web Platform for AI-Agents with Search, Fetch, Browser and Agent

On April 14, 2026, TinyFish presented something that developers of agentic systems have long been missing: a unified web infrastructure for AI agents that need to work with live websites, not archived copies of the internet. The company brought together four layers under a single API key — Search, Fetch, Browser, and Agent, meaning search, content extraction, remote browser, and autonomous script execution. The idea is simple: instead of stitching together multiple services for search, JavaScript page rendering, login bypass, and action automation, teams get one platform with a unified authentication method, a single credit pool, and a predictable integration format.

The problem that this release addresses is well-known to anyone who has tried to bring an AI agent to production. Basic search is not enough if the agent needs to find an up-to-date competitor pricing page, open a heavy SPA interface, extract structured data from a dashboard, or execute a multi-step scenario on a real website. In a typical stack, this requires combining separate search APIs, web scraping services, cloud browsers, and custom orchestration.

TinyFish proposes to slice the task differently: Search returns ranked results and snippets in JSON, Fetch renders a page in a real browser and returns cleaned Markdown, HTML, or JSON, Browser spins up a remote browser session for Playwright or CDP, and Agent takes a goal in natural language and decides itself where to click, what to fill in, and what result to return. From a technical perspective, the platform looks like an attempt to do for web automation what unified APIs did for model access. In the documentation, TinyFish specifies a single X-API-Key header for all REST methods, Python SDK support, CLI and MCP integration, and compatibility with clients like Claude Code and Cursor.

For the agentic API, three modes are available: synchronous run, asynchronous run-async, and streaming run-sse for applications that need real-time progress. For Browser API, a session is created in 10–30 seconds according to the documentation, while on the homepage the company separately promotes stealth sessions, dynamic rendering support, and claims a cold start of less than 250 milliseconds. Fetch can process up to ten URLs in a single request independently of each other, and Search is designed to return fresh results from the live web rather than from cache.

TinyFish is clearly betting not just on convenience but on production characteristics. The company claims that its Web Agent shows 89.9 percent accuracy on Mind2Web, and the Browser layer is oriented toward websites with bot protection, login walls, and dynamic interfaces.

The references also include country-based proxies, lite and stealth profiles, and for authorization scenarios — a vault with password manager integration and credential passing in the run. According to the company itself, the infrastructure already handles hundreds of thousands of corporate web agents per month and is used in tasks for Google, DoorDash, ClassPass, and other major clients in hospitality, insurance, retail, and logistics. This is important because the web agent market increasingly depends not on the quality of the model itself but on resilience to real websites, timeouts, blocks, and unstable markup.

Perhaps the clearest example of the platform's value is the insurance monitoring scenario shown by TinyFish. In it, a single task is distributed across four layers: Search narrows the space to the required insurance company pages, Fetch quickly retrieves rate tables, Browser navigates protected sites, and Agent logs into portals, fills out forms, and extracts final quotes. On the service's showcase, this appears as a unified pipeline for updating quarterly insurance offers and automatically flagging premium increases above five percent.

The company also shows another use case: an agent that logs into a small hotel's booking system in Japan, reads dates and prices, and updates listings on Google Hotels without any changes on the hotel's end. In practice, this means that competition in the agentic web stack is shifting from individual tools to a comprehensive operational layer. If TinyFish can maintain the declared reliability and quality under real production loads, developers will be able to spend less time stitching together vendors and more on the business logic of the agents themselves.

At the same time, figures like benchmark accuracy or anti-bot bypass efficiency should still be treated as vendor claims and verified against your own scenarios. But the direction is clear already: the AI agent market is maturing, and now value is increasingly created not by yet another intelligent agent, but by infrastructure that gives it stable access to the live web.