How To Access Your Data from Exponential Technology

(For Clients)

Step 1: Click this link to be brought to the Exponential website. After you arrive, navigate to the sign up page.

        Link: https://www.exponential-tech.ai/

Step 2: Fill out your information including your full name, email, number, and create a password. Inputting a phone number is not necessary. Check the box that states, “I agree to receive updates, promotions, and marketing materials from Exponential.”

Step 3: After this you will need to wait until your account is confirmed by one of the XTech team. This should happen within 48 hours.  If you don’t hear from us in 48 hours, please email. support@exponential-tech.ai and provide the email, first and last name and phone number you entered in the registration page.

Step 5: Click on the “Access My Data” button in the top right corner.

Step 6: Click the button in the API Token section that says, “Active” to activate your token.  This will trigger 2FA for your token.  

Step 7: Once you’ve returned to the page and have activated your token, open a python development environment and use this code, “pip install unifier” to install the Xtech unifier package from https://pypi.org/project/unifier.

Step 8: Enter this code into your imports section. “Your_username” is your email, “your_api_token” is your token you were given on the website.

        from unifier import unifier

# Set your user and token

unifier.user = 'your_username'

unifier.token = 'your_api_token'

Step 9: Enter this code to access your dataset. “your_dataset_name” is a placeholder for the name of your dataset.

# Convert the response to a DataFrame

df = unifier.get_dataframe(name='your_dataset_name')

your_dataset_name can be found by clicking onto your specific dataset in the data catalog. Once you have clicked on your dataset, replace your_dataset_name with the text under Data Source Name.

print(df.head())

Step 10: Complete this step to retrieve all available as-of dates in the dataset. This will allow you to see all of the data points as they appeared at specific moments in time.

# Get list asof_date available for a dataset

df = unifier.get_asof_dates(name='dataset_name')

print(df.head())

For a more in-depth explanation on how our Unifier works, click this link.