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 è una piattaforma enterprise per agenti web AI che combina ricerca in tempo reale, recupero delle pagine, automazione del browser e workflow a più passaggi. Aiuta i team a lavorare su larga scala con siti dinamici o autenticati.
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.
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.
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.
Agent can navigate pages, fill forms, authenticate into sites, and return structured results for production workflows that need multi-step execution.
Browser provides stealth sessions for login walls, anti-bot protections, and dynamic rendering, with persistent state and fast cold starts described on the page.
The platform is presented as serverless and able to run hundreds of websites simultaneously, which supports large-scale parallel web workflows.
TinyFish is MCP-native and also exposes direct API access, with examples for Claude Code, CLI tools, npm, Python, Cursor MCP, AG2, and Vercel.
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.
Use Browser and Agent to sign in, navigate dynamic interfaces, and submit forms when a task depends on authenticated portals or interactive pages.
Use Fetch to convert rendered pages into markdown, JSON, or HTML for downstream models and data pipelines that need structured page content.
Use the platform for parallel jobs across many websites when teams need to run the same workflow repeatedly at scale.
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.
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.
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.
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.
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.
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