Usage and credits

The MOSTLY AI Platform at https://app.mostly.ai (opens in a new tab) provides a daily limit of 5 credits to generate synthetic data points and use the Assistant. Enterprise deployments have a usage-based configuration which can be adjusted according to the organization's needs.

Credits usage

With credits available, you can use the Assistant and generate synthetic data. The credits usage for both is slightly different. Learn how each impacts your credit balance.

Credits usage for synthetic data

1 credit is worth the generation of 1 million synthetic data points. Synthetic data points include:

• single-cell values
• tokens in Text columns

Examples:

• a synthetic dataset that includes 10 columns and 5,000 rows is worth 50,000 synthetic data points. This equals 0.05 credits.
• if the synthetic dataset includes a Text column, the synthetic data points include the number of tokens in the Text column. Each token counts as 1 synthetic data point.

Credits usage for the Assistant

1 credit is worth 300,000 tokens when you use the Assistant. For each Assistant thread, you can track the number of tokens used in a thread.

What is included in the number of tokens used:

• all messages sent by the user and replies generated by the Assistant
• the system instructions
• any custom system instructions
• the user's custom instructions

Also, every time you send a new message, the Assistant also receives all previous messages and responses to take into account (as context). This also counts towards the total number of tokens used.

Check your credits usage

As you generate synthetic data, you can track the usage and the remaining credits you have on your account.

If you use the web application, you can check your usage from the Credits status bar and tooltip in the upper right.

Usage of generators, synthetic datasets, and connectors

You can track the usage of generators, synthetic datasets, and connectors in the MOSTLY AI web application and with the Python client.

Usage of generators

For each generator, you can track the metrics below.

• likes
• number of shares with others
• times used to generate a synthetic dataset

If you use the web application, the Generators page contains an Activity column that shows the generator usage metrics.

The same metrics are also available when you open a generator.

Usage of synthetic datasets

For each synthetic dataset, you can track how the number of data points generated and the number of credits used. For each synthetic dataset, you can track the metrics below.

• likes
• number of shares with others
• data points generated
• credits used

In the web application, the metrics are available after you open a synthetic dataset.

Usage of connectors

For each connector, you can track the number of shares and the number of generators that used the connector.

In the web application, the Connectors page contains an Activity column that shows the connector usage metrics.

• For each source connector, you can see the number of shares and the number of generators using the connector as a data source.
• For each destination connector, the number of shares and the number of synthetic datasets delivered to the connector destination are available.

Monthly usage reports (Enterprise-only)

For organizations that use MOSTLY AI after deploying in their own private cloud environments, administrators can track their organization's monthly usage. The Monthly reports option is available only to Admin users.

If you are using the web application, you can track your organization's monthly usage statistics from your administrator profile menu.

Steps

1. Open the profile menu.
2. Select Monthly reports.

Result

The Monthly reports page displays the monthly usage statistics for your organization.

Each monthly report includes a monthly aggregation of the following metrics:

• generated rows
• generated data points ¹
• credits used

¹ The data points metrics includes both data points generated in synthetic dataset as well as those generated by live probing generators.