Fresh web search
Search returns fresh URLs from the live web and is described as real browser-rendered search that can return structured JSON from dynamic pages and fast-changing sources.
TinyFish
Freemium
TinyFish는 실시간 검색, 페이지 가져오기, 브라우저 자동화, 다단계 워크플로를 결합한 엔터프라이즈용 AI 웹 에이전트 플랫폼입니다. 동적 웹사이트나 인증이 필요한 사이트를 대규모로 다뤄야 하는 팀을 지원합니다.
TinyFish란 무엇인가요?
TinyFish is enterprise infrastructure for AI web agents. It combines Search, Fetch, Browser, and Agent capabilities into a single platform for web search, page extraction, browser automation, and workflow execution.
The product is designed for teams that need to work with live websites at scale, including dynamic pages, authenticated flows, and structured outputs. The homepage emphasizes a fully serverless architecture and describes the platform as suitable for running many websites simultaneously.
TinyFish(으)로 무엇을 할 수 있나요?
Clean page extraction
Fetch renders a page in a real browser and returns clean markdown, JSON, or HTML, so downstream systems can work with the page as it actually appears.
Multi-step web automation
Agent can navigate pages, fill forms, authenticate into sites, and return structured results for production workflows that need multi-step execution.
Stealth browser sessions
Browser provides stealth sessions for login walls, anti-bot protections, and dynamic rendering, with persistent state and fast cold starts described on the page.
Parallel execution at scale
The platform is presented as serverless and able to run hundreds of websites simultaneously, which supports large-scale parallel web workflows.
Multiple integration paths
TinyFish is MCP-native and also exposes direct API access, with examples for Claude Code, CLI tools, npm, Python, Cursor MCP, AG2, and Vercel.
사용 사례
“Web research and monitoring”
Use Search to find live results from the web, then Fetch to turn pages into clean content for research pipelines, monitoring, or news-driven workflows.
“Authenticated workflow automation”
Use Browser and Agent to sign in, navigate dynamic interfaces, and submit forms when a task depends on authenticated portals or interactive pages.
“Structured data extraction”
Use Fetch to convert rendered pages into markdown, JSON, or HTML for downstream models and data pipelines that need structured page content.
“High-volume web operations”
Use the platform for parallel jobs across many websites when teams need to run the same workflow repeatedly at scale.
“Agent stack integration”
Use the MCP and API options to add live web capabilities to agent stacks such as Claude Code, Cursor, or custom Python and npm workflows.
자주 묻는 질문
What is TinyFish?
TinyFish provides enterprise infrastructure for AI web agents, including Search, Fetch, Browser, and Agent capabilities. The site describes it as a single API for web search, page fetching, browser automation, and multi-step workflows.
How can TinyFish be integrated into a workflow?
The source describes TinyFish as MCP-native and available through direct API access. It also shows examples for Claude Code, CLI, npm, Python, Cursor MCP, AG2, and Vercel, but does not provide a full supported integrations list from the blocked integrations page.
What kinds of tasks is TinyFish designed for?
TinyFish is positioned for tasks that depend on dynamic pages, authenticated flows, structured outputs, and production reliability. The site highlights use cases such as research pipelines, monitoring, web automation, and agent workflows that need a real browser.
Is pricing available from the source?
The pricing page is behind security verification in the collected sources, so the exact plan structure, limits, and billing details are not visible. The home page does state that Search and Fetch are free API access for agents and that both are included on every plan and use no credits.
주요 정보
- Category
- AI Web Agents
- Platform
- Serverless web automation platform
- Primary users
- Teams building web agents and automation workflows
- Core modules
- Search, Fetch, Browser, Agent
- Integration style
- MCP-native and direct API
- Source domain
- mino.ai
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