> 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/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 Data/Timezones: `https://www.datadoe.com/hub/docs/datadoe-data/orders-purchase-date-timezones.md`
> - DataDoe Features/Features Overview: `https://www.datadoe.com/hub/docs/datadoe-features/overview.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 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 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 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/How to connect: `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 Codex: `https://www.datadoe.com/hub/docs/datadoe-api/codex.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: `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.

# Vibe code with Cursor

## Prerequisites

- A DataDoe API key (see [How to connect](/hub/docs/datadoe-api/how-to-connect))

## Install Cursor

- Download Cursor from [cursor.com](https://cursor.com/)
- Install the app and sign in
- Install the Cursor CLI if you plan to run agent tasks from the terminal (see [Cursor CLI docs](https://cursor.com/docs/cli/overview))

## Build with Cursor

- Open a bash-compatible terminal in the folder where you want the project (Cursor's built-in terminal works; on Windows, use WSL or Git Bash)
- Copy the command below and run it in your terminal.

```shell
agent "$(
    cat << 'EOF'
Task:
Build a clean, interactive Amazon sales dashboard using the DataDoe API.
The dashboard should analyze the latest 30 days and compare them against the previous 30 days.

Requirements:
- Allow selection of a single seller from a seller list
- Display sales, traffic, ads, and profitability data for the selected seller
- Show current period, previous period, absolute delta, and % delta
- Include KPI cards and simple comparison/trend charts
- Use real API data only
- Inspect the API docs first to identify the correct endpoints and fields
- Strictly follow all agent instructions provided in the API documentation
- Store `DATADOE_API_KEY` in a `.env` file; do not expose it in code or chat logs and don't ask user to provide it via chat message
- If exact metrics are unavailable, use the closest available fields and clearly note assumptions
- Handle missing data and API errors gracefully
- Keep the UI simple, clean, and easy to read
- Separate data fetching, transformation, and presentation logic
Testing & Validation:
- Use `curl` to verify API connectivity and inspect response structures before implementing the UI
- Ensure the application builds successfully and the dev server starts without errors
- Fix any linter or TypeScript errors introduced during development

Include at minimum:
- Sales: total sales, units sold, orders, average order value
- Traffic: sessions, page views, conversion rate
- Ads: ad spend, ad sales, ROAS, ACOS/TACOS if available
- Profitability: gross profit, net profit if available, margin %

Deliver:
- A working dashboard
- Clean, maintainable code
- Brief setup instructions
- A short explanation of the API endpoints used and any assumptions made

Tech Stack:
- React, TypeScript, Tanstack Router, Tanstack Start, Tanstack Query, ShadcnUI, Tailwind CSS, Yarn

Data source:
https://api.datadoe.com/api/v1/docs/json
Read the prompt now and ask user if you should continue building the app.
EOF
)"
```

- Run the command in your terminal or Cursor Desktop app
- Set `DATADOE_API_KEY` in your `.env` file before the agent runs API calls
- Review the generated code and run the app locally

## Generated app

This example was generated using GPT 5.4 mini high model:

![Cursor Response 1](/hub-files/api/cursor/cursor-1.png)
![Cursor Response 2](/hub-files/api/cursor/cursor-2.png)
![Cursor Response 3](/hub-files/api/cursor/cursor-3.png)

## Helpful resources

- [Cursor documentation](https://cursor.com/docs)
- [Cursor CLI documentation](https://cursor.com/docs/cli/overview)