DATASET EXPLORATION

Introduction

4min

The dataset API is in an early release stage and might be subject to changes.
Prerequisites
Before you begin, make sure you have:
Access to the dataset exploration tool
An account with permissions to use our API
Generated API credentials. See API Credentials﻿ 
Installed our Python 3 SDK for authentication - kognic-auth﻿
No API Client Available
At the moment we do not provide an API client for the dataset exploration tool. Instead, we'll provide examples of how you can interact with our API.
Endpoints
You can discover the list of accessible endpoints within our swagger documentation.
Request Example
Here's an example using the kognic-auth library to list all datasets available to the user:
Python
import requests

from kognic.auth.requests.auth_session import RequestsAuthSession

client = RequestsAuthSession()

try:
    response = client.session.get("https://dataset.app.kognic.com/v2/datasets")
    response.raise_for_status()
    data = response.json()
    print(data)
except requests.exceptions.RequestException as e:
    print(f"Request error: {e}")
import requests

from kognic.auth.requests.auth_session import RequestsAuthSession

client = RequestsAuthSession()

try:
    response = client.session.get("https://dataset.app.kognic.com/v2/datasets")
    response.raise_for_status()
    data = response.json()
    print(data)
except requests.exceptions.RequestException as e:
    print(f"Request error: {e}")
﻿
(The v1 version of this endpoint, previously mentioned in this document, is now deprecated)

Updated 17 Dec 2024

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