Tabstack

Tabstack is a Mozilla-backed API platform that gives AI systems the ability to browse, search, and interact with the web autonomously. It exposes four core endpoints — Extract, Generate, Automate, and Research — that cover the full range of web tasks an AI agent might need to perform. The platform is designed for production workloads, emphasizing speed, reliability, and data privacy.

What It Is

Tabstack is a "web execution layer" for AI agents: a hosted API that lets AI systems perform real browser-like actions on the web without requiring developers to manage headless browsers, proxies, or scraping infrastructure. Rather than building and maintaining web automation tooling in-house, developers send tasks to Tabstack's API and receive structured results. The platform is positioned as infrastructure for AI agents that need to interact with live web content.

Four Core Endpoints

Tabstack's API is organized around four POST endpoints, each targeting a distinct use case:

• /Extract — Converts any URL into markdown, JSON, or a custom schema. Markdown extraction costs 10 credits per action; JSON extraction costs 50 credits per action.
• /Generate — Turns web data into tailored messages, documents, or other outputs. Costs 100 credits per action.
• /Automate — Runs browser-like automations: clicking, scrolling, searching, and form submission. Costs 100 credits per action.
• /Research — Deploys autonomous agents to explore the web and answer complex questions. Fast mode costs 250 credits per action; Balanced mode costs 350 credits per action.

Privacy and Mozilla Backing

The platform states a strong commitment to data minimization: all customer data is treated as ephemeral and purged immediately after use by default. As a Mozilla-backed platform, Tabstack publishes specific trust commitments:

• All requests use a dedicated Mozilla Tabstack User-Agent so site owners can identify and monitor traffic.
• Robots.txt directives addressed to the Tabstack User-Agent are honored.
• Retrieved content is never used by Mozilla for model training.

Website owners can configure access controls via documentation Tabstack provides for that purpose.

Deployment Model

Tabstack is a cloud API accessed via HTTP. A Python SDK is available (shown in code examples on the homepage), and the platform is designed to integrate into existing AI agent pipelines with minimal setup. New accounts receive a free credit allocation to explore the full platform before committing to a paid plan. The documentation site at docs.tabstack.ai provides a quick-start guide and endpoint references.

Who It's For

Tabstack targets developers and teams building AI systems that need live web access — from individual tinkerers connecting hobby projects to the internet, to engineering teams running production-scale automation workloads. The platform's rate limit tiers and credit-based pricing are structured to accommodate both low-volume experimentation and high-throughput production use cases.