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Template·Agents & Research

Data Generator

Turn a one-line topic into a structured dataset — define the columns once, get validated rows back instead of paragraphs of prose.

Input

fresh vegetables, each with its typical color

Output

{
  "rows": [
    {
      "name": "Carrot",
      "color": "orange"
    },
    {
      "name": "Spinach",
      "color": "dark green"
    },
    {
      "name": "Eggplant",
      "color": "purple"
    },
    {
      "name": "Potato",
      "color": "brown"
    },
    {
      "name": "Corn",
      "color": "yellow"
    },
    {
      "name": "Tomato",
      "color": "red"
    },
    {
      "name": "Cauliflower",
      "color": "white"
    },
    {
      "name": "Celery",
      "color": "pale green"
    }
  ],
  "columns": [
    {
      "name": "name"
    },
    {
      "name": "color"
    }
  ],
  "data": [
    [
      "Carrot",
      "orange"
    ],
    [
      "Spinach",
      "dark green"
    ],
    [
      "Eggplant",
      "purple"
    ],
    [
      "Potato",
      "brown"
    ],
    [
      "Corn",
      "yellow"
    ],
    [
      "Tomato",
      "red"
    ],
    [
      "Cauliflower",
      "white"
    ],
    [
      "Celery",
      "pale green"
    ]
  ]
}

The workflow

Data flow

How to run it

  1. 01

    Download NodeTool Studio

    Install the free desktop app for macOS, Windows, or Linux. It runs on your own machine, no account required to start.

  2. 02

    Open the Data Generator template

    Browse the built-in template library inside Studio and open this workflow onto the canvas. Every node is already wired up.

  3. 03

    Add your keys

    Connect the providers this workflow uses (Data Generator). Bring your own keys — you pay the provider directly.

  4. 04

    Run and remix

    Hit Run to execute the graph and watch results stream in. Swap models, edit prompts, or rewire nodes to make it yours.

Run Data Generator on your machine

Free, open source, and yours to run. Download Studio, open the template, and run it with your own keys.