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Count is a platform for analytics and research, built for work you can’t afford to get wrong.

Your team and Count’s agents work together on one shared canvas. Every answer is laid out as a Reasoning Chain showing its sources, assumptions and inferences, and you can see everything your agents do.

These docs cover how to set up, work in and govern Count. For more on why we built it this way, read our blog.

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Intro to Count

Platform Overview

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Topics

Start Here

Start Here

Count is a place to analyse data and do deep research into any topic, together with your team. Getting going is simple.

Data Sources

Data Sources

Gather all your business knowledge in one place.

Working in The Canvas

Working in The Canvas

Learn more about how working in and with the Count canvas, from the agent and canvas objects to team collaboration and shareable reports.

Build Trusted Context

Build Trusted Context

Manage the skills, context and definitions across your organization.

Integrating Count

Integrating Count

Learn more about how to connect Count to other tools, from using it in agentic tools like Claude or Cursor, to controlling it programmatically via the API, to bringing it into Slack.

Managing Your Workspace

Managing Your Workspace

Learn more about Count's permissions, telemetry and, security and governance controls.

Analytics Engine

Analytics Engine

The compute layer behind Count's agents: cells, Python, and an in-memory engine that keeps analysis fast and warehouse costs low.

Troubleshooting & FAQs

Troubleshooting & FAQs

Common questions and how to get the best from Count.

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