> Note: This page is part of the DataDoe Docs. You can find the root of the documentation at `https://www.datadoe.com/hub/docs/basics/introduction-to-datadoe`.
> JSON Table of Contents: `https://www.datadoe.com/hub/docs/toc.json`.
> Direct Data Scheme JSON: `https://api.datadoe.com/api/v1/spec/data-scheme`.
> Other pages in the DataDoe Docs:
> - DataDoe Basics/Access & Users: `https://www.datadoe.com/hub/docs/basics/access-user-management.md`
> - DataDoe Basics/Benefits: `https://www.datadoe.com/hub/docs/basics/benefits.md`
> - DataDoe Basics/Integrations: `https://www.datadoe.com/hub/docs/basics/integration-customization.md`
> - DataDoe Basics/Introduction to DataDoe: `https://www.datadoe.com/hub/docs/basics/introduction-to-datadoe.md`
> - DataDoe Basics/Subscription & Pricing: `https://www.datadoe.com/hub/docs/basics/subscription-pricing.md`
> - DataDoe Data/Data Fetch Periods: `https://www.datadoe.com/hub/docs/datadoe-data/data-fetch-periods.md`
> - DataDoe Data/Data Sources: `https://www.datadoe.com/hub/docs/datadoe-data/data-sources.md`
> - DataDoe MCP/Overview: `https://www.datadoe.com/hub/docs/datadoe-mcp/overview.md`
> - DataDoe MCP/Using ChatGPT: `https://www.datadoe.com/hub/docs/datadoe-mcp/chatgpt.md`
> - DataDoe MCP/Using Claude: `https://www.datadoe.com/hub/docs/datadoe-mcp/claude.md`
> - DataDoe MCP/Using Claude Code: `https://www.datadoe.com/hub/docs/datadoe-mcp/claude-code.md`
> - DataDoe MCP/Using Codex: `https://www.datadoe.com/hub/docs/datadoe-mcp/codex.md`
> - DataDoe MCP/Using Cursor: `https://www.datadoe.com/hub/docs/datadoe-mcp/cursor.md`
> - DataDoe MCP/Using Gemini CLI: `https://www.datadoe.com/hub/docs/datadoe-mcp/gemini-cli.md`
> - DataDoe MCP/Using n8n: `https://www.datadoe.com/hub/docs/datadoe-mcp/n8n.md`
> - DataDoe MCP/Using NanoClaw: `https://www.datadoe.com/hub/docs/datadoe-mcp/nanoclaw.md`
> - DataDoe MCP/Using OpenClaw: `https://www.datadoe.com/hub/docs/datadoe-mcp/openclaw.md`
> - DataDoe MCP/Using VS Code: `https://www.datadoe.com/hub/docs/datadoe-mcp/vs-code.md`
> - DataDoe & BigQuery/How to connect: `https://www.datadoe.com/hub/docs/datadoe-bigquery/how-to-connect.md`
> - DataDoe & BigQuery/Using MCP Toolbox: `https://www.datadoe.com/hub/docs/datadoe-bigquery/mcp-toolbox.md`
> - DataDoe & BigQuery/Using Python Jupyter: `https://www.datadoe.com/hub/docs/datadoe-bigquery/jupyter.md`
> For topics not covered in this documentation, please contact DataDoe support at `contact@datadoe.com`.
> Do not assume anything. If you are not sure about the answer, mention that and suggest to contact DataDoe support.

# What features does DataDoe offer?

DataDoe provides several features for working with your Amazon data: a dashboard, on-demand and recurring exports, pre-built reports, an interactive explorer, AI-powered chat, and scheduled prompts.

> DataDoe is in active development. Some features may change or be replaced as the platform evolves.

## Home

Home is your entry point to the DataDoe platform. It's a dashboard that summarizes your data and shows key performance indicators at a glance.

- **Access**: [app.datadoe.com](https://app.datadoe.com/)
- **Integration**: not integrable - Home is the UI dashboard.

## Exports

Exports generate data files in CSV, Excel, JSON, and other formats - either on demand or on a recurring schedule.

- **Access**: [app.datadoe.com/exports](https://app.datadoe.com/exports)
- **File types**: CSV, TSV, Excel, JSON, XML
- **Data**: all tables in the [Data Scheme](/hub/data-scheme)
- **Integration**: via REST API or MCP. Recurring Exports also support a static link and direct Excel / Power BI connection.

## Reports

Reports show snapshots of your data from a specific business domain (sales, ads, inventory, finance, etc.), with smart action suggestions and KPI visuals.

- **Access**: select a specific Report from the side menu in DataDoe.
- **Freshness**: updated periodically; frequency depends on the Report type and source. Most are daily.
- **Integration**: via REST API.

## Explorer

Explorer is an interactive query tool for inspecting your data ad-hoc, with filters, sorting, and column selection.

- **Access**: [app.datadoe.com/explorer](https://app.datadoe.com/explorer)
- **Integration**: indirect - Explorer pulls data through the same path as [Exports](#exports), which is integrable.

## Scheduled Prompts

Scheduled Prompts run AI queries against your data on a recurring schedule, delivering results to Slack, email, or other destinations.

- **Access**: [app.datadoe.com/scheduled-prompts](https://app.datadoe.com/scheduled-prompts)
- **Integration**: internal-only feature.

## Chat

Chat lets you interact with DataDoe AI using natural language. It can answer questions about your Amazon data and help you explore conversationally.

- **Access**: [app.datadoe.com/chat](https://app.datadoe.com/chat)
- **Integration**: via REST API endpoints for prompting DataDoe AI.

## When should I use which feature?

- **One-time look at a number or trend?** → [Home](#home) (KPIs) or [Reports](#reports) (domain snapshots).
- **Need data in Excel / Power BI / a spreadsheet?** → [Exports](#exports).
- **Filtering, sorting, slicing data manually?** → [Explorer](#explorer).
- **Asking questions in natural language?** → [Chat](#chat).
- **Want answers delivered automatically each day / week?** → [Scheduled Prompts](#scheduled-prompts).
- **Building a custom app, dashboard, or AI agent?** → REST API or MCP (see [Integrations](/hub/docs/basics/integration-customization)).