> 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/External Invitation Links: `https://www.datadoe.com/hub/docs/basics/external-invitation-links.md`
> - DataDoe Basics/Integrations: `https://www.datadoe.com/hub/docs/basics/integration-customization.md`
> - DataDoe Basics/Subscription and 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 Data/Managing Data Tables: `https://www.datadoe.com/hub/docs/datadoe-data/managing-data-tables.md`
> - DataDoe Data/Timezones: `https://www.datadoe.com/hub/docs/datadoe-data/orders-purchase-date-timezones.md`
> - DataDoe Data/Uploading COGS: `https://www.datadoe.com/hub/docs/datadoe-data/uploading-cogs.md`
> - DataDoe Features/Actions: `https://www.datadoe.com/hub/docs/datadoe-features/actions.md`
> - DataDoe Features/Actions - Manage Images: `https://www.datadoe.com/hub/docs/datadoe-features/actions-manage-images.md`
> - DataDoe Features/Features Overview: `https://www.datadoe.com/hub/docs/datadoe-features/overview.md`
> - DataDoe Features/Files: `https://www.datadoe.com/hub/docs/datadoe-features/files.md`
> - DataDoe Features/Webhooks: `https://www.datadoe.com/hub/docs/datadoe-features/webhooks.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 Agent SDK: `https://www.datadoe.com/hub/docs/datadoe-mcp/claude-agents-sdk.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 Codex Sites: `https://www.datadoe.com/hub/docs/datadoe-mcp/codex-sites.md`
> - DataDoe MCP/Using CrewAI: `https://www.datadoe.com/hub/docs/datadoe-mcp/crewai.md`
> - DataDoe MCP/Using Cursor: `https://www.datadoe.com/hub/docs/datadoe-mcp/cursor.md`
> - DataDoe MCP/Using Excel + Claude: `https://www.datadoe.com/hub/docs/datadoe-mcp/excel.md`
> - DataDoe MCP/Using Gemini CLI: `https://www.datadoe.com/hub/docs/datadoe-mcp/gemini-cli.md`
> - DataDoe MCP/Using Gumloop: `https://www.datadoe.com/hub/docs/datadoe-mcp/gumloop.md`
> - DataDoe MCP/Using Hermes Agent: `https://www.datadoe.com/hub/docs/datadoe-mcp/hermes.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 OpenAI Agents SDK: `https://www.datadoe.com/hub/docs/datadoe-mcp/openai-agents-sdk.md`
> - DataDoe MCP/Using OpenClaw: `https://www.datadoe.com/hub/docs/datadoe-mcp/openclaw.md`
> - DataDoe MCP/Using OpenCode: `https://www.datadoe.com/hub/docs/datadoe-mcp/opencode.md`
> - DataDoe MCP/Using PowerPoint + Claude: `https://www.datadoe.com/hub/docs/datadoe-mcp/powerpoint.md`
> - DataDoe MCP/Using VS Code: `https://www.datadoe.com/hub/docs/datadoe-mcp/vs-code.md`
> - DataDoe MCP/Using Word + Claude: `https://www.datadoe.com/hub/docs/datadoe-mcp/word.md`
> - DataDoe API/Build with Codex: `https://www.datadoe.com/hub/docs/datadoe-api/codex.md`
> - DataDoe API/How to connect to the API: `https://www.datadoe.com/hub/docs/datadoe-api/how-to-connect.md`
> - DataDoe API/Vibe code with Claude Code: `https://www.datadoe.com/hub/docs/datadoe-api/claude-code.md`
> - DataDoe API/Vibe code with Cursor: `https://www.datadoe.com/hub/docs/datadoe-api/cursor.md`
> - DataDoe API/Vibe code with Lovable: `https://www.datadoe.com/hub/docs/datadoe-api/lovable.md`
> - DataDoe API/Vibe code with Replit: `https://www.datadoe.com/hub/docs/datadoe-api/replit.md`
> - DataDoe API/Vibe code with v0: `https://www.datadoe.com/hub/docs/datadoe-api/v0.md`
> - DataDoe & BigQuery/How to connect to BigQuery: `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 is DataDoe?

DataDoe lets you connect, view, analyse, and act on your Amazon data from Seller Central, Vendor Central, and Amazon Ads. Share that data with your AI agent or BI tool through a hosted MCP server, REST API, BigQuery integration, or pre-built exports, and make changes back on Amazon with Actions.

## Who DataDoe is for

DataDoe is for Amazon sellers, vendors, and agencies that want to turn Amazon data into better decisions. It gives you a data layer for dashboards, AI agents, automated reports, or clean SP-API and Ads API data without integration maintenance.

## What DataDoe provides

- **More than 70 documented Amazon data tables** across Seller Central, Vendor Central, and Amazon Ads, with new ones added regularly. Data is refreshed automatically and retained from the day you connect.
- **Four access methods**: MCP server for AI agents, REST API for apps and scripts, BigQuery integration for warehouses and BI tools, and on-demand exports for spreadsheets.
- **Actions (write access)**: let your AI agents and apps make changes on Amazon - update listings, cancel or confirm orders, and manage Ads campaigns - through the MCP server or REST API. See [Actions](/hub/docs/datadoe-features/actions).
- **Pre-built workflows**: install-ready agent skills (reconciliation dashboards, weekly briefings) and Data Studio templates.
- **No SP-API or Ads API maintenance**: developer registration, OAuth, refresh-token rotation, and rate limiting are handled server-side for both Amazon SP-API and Amazon Ads API.

## Start using DataDoe

1. Sign up at [app.datadoe.com](https://app.datadoe.com) and create a DataDoe organisation.
2. Connect your Amazon Seller Central, Vendor Central, or Ads accounts.
3. Pick how you want to use your data:
    - **AI agent in Claude, ChatGPT, Cursor, or another MCP client**: see [DataDoe MCP](/hub/docs/datadoe-mcp/overview).
    - **Custom app or script**: see the [REST API reference (Swagger)](https://api.datadoe.com/api/v1/docs).
    - **BigQuery dataset for BI tools**: see [DataDoe & BigQuery](/hub/docs/datadoe-bigquery/how-to-connect).
    - **One-time CSV or Excel export**: see [Exports](/hub/docs/datadoe-features/overview#exports).

## Available tables and columns

The full data scheme is in our [interactive Data Scheme browser](/hub/data-scheme). Each table is documented with refresh cadence, BigQuery name, and column schema.

## Glossary

- **Organisation**: a global entity that users operate within. A user belongs to one organisation. All other entities, such as sellers, vendors, and MCP keys, belong to an organisation.
- **Seller** or **Vendor**: an Amazon account connected to your DataDoe organisation. Seller means Seller Central account, and Vendor means Vendor Central account.
- **MCP key**: an API key scoped to your DataDoe organisation, used to authenticate MCP server requests. You can manage and revoke it from `Integrations > MCP` in the app.
- **API key**: an API key for the REST API. Same management interface, different header.
- **Refresh cadence**: how often a table is refreshed. Most are daily; some are continuous (live), a few are weekly or monthly. See per-table cadence in the [Data Scheme](/hub/data-scheme).