TinyFish

What TinyFish Does? 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.

Who It's For & How are Problems Solved? Built for development teams, data scientists, and enterprises that need production-grade web automation, TinyFish solves the challenge of accessing dynamic, authenticated, and bot-protected web content at scale. Teams use it when workflows depend on live data from sources that change too fast for traditional search, require login walls to be navigated, or need structured outputs from complex web interactions. Customer segments include insurance quoting automation, competitive price monitoring, social listening, market intelligence, and autonomous QA testing.

Key Features: Every TinyFish primitive is built for agents as the user: - Web search for discovering current web information. - Structured content extraction from static, dynamic, and JavaScript-heavy websites in Markdown, JSON, or HTML. - Managed cloud browser infrastructure with browser sessions, scaling, and fingerprinting. - Goal-based web automation for navigation, form completion, filtering, pagination, and multi-step workflows. - Authenticated web access with secure credential management through Vault and identity support through Profiles. - Developer-ready integrations through APIs, SDKs, MCP, CLI and Skills.

Integrations & Workflow: TinyFish integrates directly into agent stacks through its MCP server, API, Python SDK, npm package, and CLI. Supported platforms include Claude, Cursor, Vercel, n8n, AG2, and custom integrations via REST API. Teams start with free Search and Fetch access, then scale to Browser and Agent capabilities using a unified credit system. The platform handles routing, authentication, and orchestration automatically.

Differentiators: - Mako, TinyFish’s web-native model: purpose-built for operating the live web, not a frontier model wrapped in scaffolding. - Agent-led, not browser-led: Agent is the orchestration layer; Search, Fetch, and Browser are the components it drives. - Goal-based automation: give it a goal, it executes end-to-end, instead of you scripting each step. - Authenticated, multi-step workflows: the hard parts of the web: behind logins, across many steps. - Structured outputs agents can use directly: no re-parsing between steps. - Token efficiency without an accuracy tradeoff: processing happens on TinyFish's side, so agents get the slice that matters. - Everything included, Search and Fetch free: one price covering inference, browsers, proxies, and anti-bot, with no add-on meters. - Improves with use: every production workflow becomes training data, so hard corners of the web get more tractable over time.