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Tabstack

The managed web API for models that don’t come with the web

For agents: Managed web API for AI models: schema-based extraction from public URLs, cited web research, and browser automation, with SDK, CLI and changelog docs.

web extraction apiweb researchstructured data extractionbrowser automationcitations

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-23T13:48:16.634Z. Cached copy · Source on tabstack.ai

# Tabstack

> The managed web API for models that don’t come with the web

Tabstack is a managed web API for models that don't come with the web. One call returns finished output: a cited answer from live sources, clean Markdown or JSON matching a schema you define, or a completed task on a public website. Never trained on. Private by default. Built by Mozilla.

When to use Tabstack:

- **Research**: Use /research when you need an answer rather than sources: it reads across live pages, checks what is missing, and returns a cited synthesis. This is the right default when the question spans more than one page.
- **Extract**: Use /extract/markdown to read one known page as clean text, and /extract/json when that page has a structure you can describe as a schema.
- **Generate**: Use /generate/json when the shape you want is not on the page: it transforms and summarizes content into a new structure, rather than lifting what is already there.
- **Automate**: Use /automate for an interactive multi-step task on a public website: navigation, clicks and forms. It operates on public pages and does not sign in on your behalf.

Start with [agents.md](https://tabstack.ai/agents.md) for auth, endpoints and errors.

## Product

- [Research](https://tabstack.ai/web-research): Research reads the sources, checks what is missing, builds the answer and attaches citations, in one call.
- [Extract](https://tabstack.ai/structured-extraction): Extract returns readable text or JSON that matches a schema you supply, from a public URL.
- [Automate](https://tabstack.ai/browser-automation): Automate completes multi-step tasks on public websites and returns the result.

## Integrations

- [LangChain](https://tabstack.ai/integrations/langchain): Native LangChain tools for web extraction, research, generation, and automation, for both LangChain.js and Python.
- [Vercel AI SDK](https://tabstack.ai/integrations/vercel-ai-sdk): Typed tool() definitions that pass straight to generateText and streamText, backed by the Tabstack SDK.
- [OpenAI Agents](https://tabstack.ai/integrations/openai-agents): Pre-built tool() definitions you hand straight to an Agent, backed by the Tabstack SDK.
- [Claude Agent](https://tabstack.ai/integrations/claude-agent): Pre-built Tabstack tools you wire into a Claude Agent SDK query() call.
- [Mastra](https://tabstack.ai/integrations/mastra): Typed createTool definitions that spread straight into a Mastra Agent, backed by the Tabstack SDK.
- [LlamaIndex](https://tabstack.ai/integrations/llamaindex): Pre-built tool() definitions you pass straight to a LlamaIndex.TS agent, backed by the Tabstack SDK.
- [eve](https://tabstack.ai/integrations/eve): Pre-built defineTool definitions you re-export into agent/tools/ for cited answers, clean Markdown, matching JSON, and public web tasks in eve agents.
- [Hermes Agent](https://tabstack.ai/integrations/hermes-agent): A Hermes plugin that adds a tabstack toolset plus a Tabstack backend for Hermes' own web_extract tool
…

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