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Pay Distribution

Console Testing

Learn how to test Argyle in the Sandbox mode.

The Argyle Console allows you to invite users to share their employment records, which you can then view in one place.

If you already are a client of Argyle, you can access the Argyle Console here. Otherwise, please contact us to get you up and running with an account.

Step 1: Enable the Sandbox mode

When you start using the Console for the first time, the Sandbox mode is enabled by default. You can switch between the Sandbox mode and Production mode (which uses real data) in the left-side panel:

Step 2: Launch the Link emulator

To start testing, click Emulator in the Console side panel:

Step 3: Select a company or platform

After clicking Continue on the first screen, you will be directed to the second screen that allows a user to search for and choose their employer or payroll platform. For the purposes of testing in the Sandbox, we provide two slightly different data sets:

  • Rideshare/Delivery — if you select a gig company like Uber or Doordash, the data has more activity information (duration, distance, etc).
  • General — if you select any other company or payroll platform, the data reflects traditional employment records.

Step 4: Login using test credentials

Within the Sandbox, there are three test users with their respective credentials. Please select any of them and enter the required information during the authentication process. These credentials work for any company or platform on the list.

The Sandbox environment only allows the usage of our test credentials. If you try to enter real credentials, an error will be displayed.

In case a company or platform features two-factor authentication (aka 2FA, 2-step verification, etc), please use the SMS code provided alongside the test credentials for that user.

After you successfully log in, test data will be added to your account.

Step 5: See employment records in the Users tab

Click Users in the Console side panel:

You will see the user that you added appear in the user list:

When you click on that user, you will be directed to the data of that user. Data is organized into various categories (e.g. employment, activities, etc.):