> ## Documentation Index
> Fetch the complete documentation index at: https://canopy.wnstn.space/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Cano Analytics: Real-Time Analytics for Modern Teams

> Cano Analytics helps you track events, visualize data, and make faster decisions — all in one modern platform built for speed and scale.

Cano Analytics is a modern SaaS analytics platform built for product, engineering, and data teams who need to understand what their users are doing — and act on it in real time. Whether you're tracking a single web app or stitching together data from dozens of sources, Cano gives you the tools to collect events, explore trends, and share insights across your organization without writing complex infrastructure code.

## Key Capabilities

<CardGroup cols={2}>
  <Card title="Real-Time Dashboards" icon="chart-line">
    Build live dashboards that update as events come in. Monitor KPIs, funnels, and cohorts without waiting for batch jobs to finish.
  </Card>

  <Card title="Event Tracking" icon="bolt">
    Capture every meaningful user action — page views, clicks, purchases, sign-ups — with a single `track()` call from any platform.
  </Card>

  <Card title="Data Source Integrations" icon="plug">
    Connect your existing databases, data warehouses, and SaaS tools to enrich your analytics with context from across your stack.
  </Card>

  <Card title="Team Collaboration" icon="users">
    Invite teammates, manage permissions by workspace, and annotate charts with comments so your whole team stays aligned.
  </Card>

  <Card title="REST API & SDKs" icon="code">
    Send data and query results programmatically using the Cano REST API or first-party SDKs for JavaScript, Python, and more.
  </Card>

  <Card title="Scheduled Reports" icon="clock">
    Automatically deliver dashboard snapshots and saved queries to your team via email or Slack on any cadence you choose.
  </Card>
</CardGroup>

## How It Works

Cano Analytics is built around a simple three-step loop: collect raw event data, analyze it through charts and queries, and act on what you find. The steps below show how data moves from your product into a decision in your hands.

<Steps>
  <Step title="Collect">
    Instrument your app with the Cano SDK or send events directly to the [REST API](https://api.canoanalytics.io/v1). Every event is timestamped, tied to a user, and stored in your isolated workspace the moment it arrives.
  </Step>

  <Step title="Analyze">
    Open your Cano dashboard and explore incoming events using the visual query builder. Segment by user properties, filter by date range, and layer in data from connected sources — no SQL required (though SQL is supported).
  </Step>

  <Step title="Act">
    Share dashboards with stakeholders, schedule automated reports, or pull query results into your own tooling via the API. Turn insights into decisions without leaving your workflow.
  </Step>
</Steps>

## Next Steps

<CardGroup cols={2}>
  <Card title="Quick Start" icon="rocket" href="/docs/quickstart">
    Send your first event and build your first dashboard in about 5 minutes.
  </Card>

  <Card title="Core Concepts" icon="book-open" href="/docs/core-concepts">
    Learn the Cano data model — workspaces, events, users, and more — before you build.
  </Card>

  <Card title="API Reference" icon="terminal" href="/docs/api-reference/introduction">
    Explore every endpoint in the Cano REST API with live request examples.
  </Card>

  <Card title="JavaScript SDK" icon="js" href="/docs/sdks/javascript">
    Integrate Cano into any JavaScript or TypeScript project in minutes.
  </Card>
</CardGroup>