TinyFish

What is TinyFish?

TinyFish is an agentic web infrastructure platform built for enterprise-scale web data operations. Unlike traditional automation tools or search platforms, TinyFish delivers live data extraction from dynamic sites — including those behind logins, forms, and paywalls — at production speed and with up to 1,000 parallel operations. With a serverless architecture, there are no browsers to manage or proxies to configure. Everything runs unattended in the cloud through a single API call, with all LLM inference, browser, and proxy costs bundled into one transparent, usage-based price.

Key Features

• Parallel Agent Execution

  Run up to 1,000 simultaneous web operations across hundreds of sites, completing tasks in minutes that would otherwise take days manually or hours with traditional automation.

• Live Data from Authenticated Sites

  Access real-time data from sites behind logins, forms, and paywalls — eliminating the stale, cached results that search-based approaches return.

• Single API Integration

  Launch agents with one API call in under a minute. Compatible with Claude MCP and supports real-time progress streaming via SSE — no polling or complex SDK setup required.

• Serverless, Zero-Config Infrastructure

  Fully managed cloud environment with no browser instances or proxy configurations to maintain. Anti-bot protection and residential proxies are built in.

• All-Inclusive Pricing

  Usage-based step pricing with LLM costs, remote browsers, and proxies all bundled — no hidden fees, no separate vendor bills. Starts free with 500 steps, no credit card required.

Use Cases

• Healthcare Portal Monitoring : Track prior authorization status or patient data across dozens of health plan portals simultaneously, replacing slow manual checks with automated live extraction.
• Competitive Price Intelligence : Monitor real-time pricing across e-commerce and marketplace sites at scale, ensuring data freshness that static scrapers or search indexes cannot provide.
• Multi-Site Data Aggregation : Aggregate structured data from hundreds of sources — including login-gated platforms — into a unified pipeline for analytics, reporting, or downstream applications.
• Automated Web Transactions : Execute form submissions, bookings, or multi-step workflows across web platforms programmatically, suitable for operations teams handling high-volume repetitive tasks.
• AI Agent Web Grounding : Provide live web context to LLM-based agents that need real-time, accurate data rather than relying on potentially outdated training knowledge.

FAQs