How To Use DataPeak Data Management

Your central hub for connecting, storing, and managing data.

The Data Management area is where Admins and Sub Admins add datasets, connect external sources, and review the data powering agents, analytics, dashboards, and workflows.

This guide shows you how to access Data Management, explains each tab, and walks you through the most common actions, like adding data, reviewing datasets, running Auto Analytics, and creating Output APIs.

1. Before You Begin

Data Management is available only to:

  • Admin

  • Sub Admin

If you don’t see this section, contact your workspace administrator.

2. How to Open Data Management

  1. Sign into DataPeak.

  2. Click Data Management in the left-hand menu.

  3. You’ll see several tabs that help you manage every part of your data flow.

3. What You’ll See in Data Management

DataPeak organizes data tools into clear tabs:

  • Data Connectors

  • My Data Connectors

  • Datasets

  • Auto Analytics

  • Output APIs

  • API Tokens

  • Data Sheets

  • VisionLLM

  • AI Data Merge

Each tab has a specific purpose, described below.

4. Data Connectors

Purpose

Add or create datasets from different sources—including files, cloud storage, databases, URLs, or APIs.

When to Use

Whenever you want to bring new data into DataPeak.

How to Create a Dataset

  1. Open Data Connectors.

  2. Choose a connector type (Local File, Google Drive, Database, URL, API, etc.).

  3. Follow the prompts: upload your file or enter connection details.

  4. Name your dataset.

  5. (Optional) Add a description.

  6. Click Add or Create.

What Happens Next

Your new dataset appears in the Datasets tab.

5. My Data Connectors

Purpose

View or remove records created through external connectors.

Notes

  • Only files from cloud, database, URL, or API sources appear here.

  • Local file uploads appear under Datasets, not here.

What You Can Do

  • Review connector import records

  • Remove connector entries you no longer need

6. Datasets

Purpose

Manage all datasets in your workspace, edit, view, activate, or delete them.

Common Actions

  • Add a new dataset (plus icon)

  • Refresh the dataset

  • Edit name or description

  • View Data

  • Deactivate or Reactivate

  • Delete

  • Create Output API (plug icon)

  • Download dataset

  • Assign Hierarchy

  • View versions (if the dataset has multiple versions from data sheets)

To Add a Dataset from Here

Click the plus icon, this will redirect you to Data Connectors to choose your upload method.

About Dataset Versions

Some datasets have multiple versions, often created from Data Sheets.

7. Auto Analytics

Purpose

Quickly generate insights and graphs using AI, no setup required.

How to Use It

  1. Open Auto Analytics.

  2. Select an active dataset from the dropdown.

  3. Click Submit.

  4. Wait while DataPeak processes analytics.

  5. Review suggested graphs and insights.

Next Steps

  • Ask for explanations

  • Refine filters

  • Save charts to your dashboard

  • Export visuals

8. Output APIs

Purpose

Create secure API endpoints that external systems can call to retrieve your dataset.

How to Create an Output API

  1. Go to Datasets.

  2. Select the dataset.

  3. Click the plug icon.

  4. Enter an endpoint name and description.

  5. Save.

Your new API appears in Output APIs.

What You Can Do from This Page

  • Preview API details

  • View request/response sections

  • Assign tokens

  • Deactivate/reactivate APIs

  • Delete endpoints

9. API Tokens

Purpose

Generate and manage the tokens that authenticate Output API requests.

How to Create a Token

  1. Open API Tokens.

  2. Click the plus icon.

  3. Enter a name and description.

  4. Save.

  5. Copy the token key and store it securely.

Managing Tokens

  • Assign tokens to Output APIs

  • Delete or rotate tokens if needed

10. When to Use Data Management

Use this section when you need to:

  • Upload or create new datasets

  • Connect external data sources

  • Review or edit your datasets

  • Generate quick insights

  • Create Output APIs

  • Manage agent run history

  • Organize data sheets or AI merges

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