
TinyFish provides a platform to search, extract, browse, and act on the web for AI agents. It is designed for teams and developers who need to manage complex web workflows with a serverless architecture. The tool combines multiple capabilities behind a single API key and wallet, supporting automated tasks that span many sites and portals. It emphasizes live, structured access to web sources and the ability to log actions for auditing and reproducibility.
The system architecture centers on remote browser sessions and content extraction, enabling agents to perform steps such as navigating sites, authenticating, and collecting data. Documentation describes authentication keys, MCP integration, and endpoints that drive agent execution, research, search, fetch, and browser control.
Core capabilities are built around live web search (TinySearch), content cleaning (TinyFetch), cloud browser sessions (TinyBrowser), multi-step automation (TinyAgent), and live web interactions for agents. It highlights price benchmarks, agent authentication, and recordings of runs for auditability. The platform is a unified solution behind one wallet and API key to enable structured data retrieval and workflow execution.
TinyFish outlines deployment and usage across multiple contexts, mentioning plans for wallets, free access to core features, and enterprise options. It references the availability of TinySearch, TinyFetch, TinyAgent, TinyBrowser, and TinyMonitor, with pricing that uses a wallet-based model and no monthly minimum. It also notes enterprise options and security features, with production deployment across various industries.
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