What is TinyFish?
TinyFish is an AI agent platform that gives developers live web access for AI-powered applications and automated workflows. It covers four core capabilities: structured web search, page fetching, stealth browser sessions, and autonomous multi-step web agents. Development teams building on large language models often hit a wall with stale, cached web data. TinyFish connects those models to the live web instead. All four products run under a single API key and share one credit pool. It integrates with MCP-compatible clients, Python, Node.js, and other common developer environments.
Features & Benefits
- Web Agent: navigate pages, fill forms, authenticate into sites, and return structured data from multi-step web workflows at scale.
- Web Search: query the live web and get structured JSON results rendered from real browsers, not cached indexes.
- Page Fetch: convert any URL into clean markdown, JSON, or HTML stripped for token efficiency and ready for downstream AI pipelines.
- Stealth Browser Sessions: launch Chromium sessions that bypass anti-bot protections, handle dynamic rendering, and maintain persistent state with sub-250ms cold starts.
- Semantic Element Finding: locate page elements by meaning rather than CSS selectors, so automations don’t break when a site’s layout changes.
- Structured Output: return extracted web data as clean JSON for direct use in AI models, pipelines, and agent workflows.
- Unified API Access: access all four products with one API key and one shared credit pool, with no separate SDKs or billing dashboards per product.
- Integrations: connect with MCP-compatible clients, Python, Node.js, and third-party automation and agent frameworks.
Real-World Applications
Engineering teams building competitive intelligence tools may the AI agent platform to monitor pricing pages, supplier portals, and product catalogs across thousands of URLs. The web agent can log into vendor portals, pull live quote data, and flag changes automatically. What once required a patchwork of tools can run through a single API.
Insurance and fintech developers can use the AI agent platform to automate quote collection from carrier portals that sit behind login walls and anti-bot protections. The stealth browser handles authentication and dynamic rendering. The agent fills forms, extracts results, and returns structured data ready for comparison or downstream processing.
Data science teams at food delivery, travel, or e-commerce companies might use TinyFish to run social listening pipelines or real-time inventory monitoring. The Search API hits live pages on demand. The Fetch API strips them down to clean, token-efficient content for model consumption. Both can run at production scale without manual intervention.
Developers building autonomous QA testing agents can use TinyFish to run browser interactions against live environments where site structure changes frequently. Semantic element finding means tests don’t fail when a button moves or a class name changes. The platform handles the browser execution layer so the agent logic stays clean.
