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Credits are the unit of measurement for AI Engine usage within the platform. They are tracked per organization and provide a transparent way to monitor and manage your resource consumption.

How Credits Work

Credits represent the computational resources consumed when using the AI Engine. Each organization has its own credit balance that reflects their usage across all projects and team members.
1

Credit Allocation

Credits are allocated to your organization based on your subscription plan or manual top-ups.
You can view your current credit balance in the organization dashboard.
2

Credit Consumption

Credits are consumed whenever you use the AI Engine for tasks such as: - Model training - Inference requests - Data processing operations
Different operations consume different amounts of credits based on their computational intensity.
3

Usage Tracking

All credit usage is tracked in real-time and can be monitored through the dashboard.
Set up usage alerts to be notified when your credits reach certain thresholds.

Credit Consumption Rates

Credit consumption varies based on the specific AI Engine operations:
{
  "operation": "model_inference",
  "credit_cost": "0.01 credits per request",
  "factors": [
    "Model complexity",
    "Input size",
    "Output tokens generated"
  ]
}

Billing Cycle

  • Credits are billed on a monthly cycle - Usage is calculated from the 1st to the last day of each month - Invoices are generated on the 1st of the following month - Payment is processed automatically using your stored payment method
  • Standard package: 1,000 credits - Professional package: 5,000 credits - Enterprise package: Custom allocation - Additional credits can be purchased at any time
  • Depending on your plan, unused credits may roll over to the next billing cycle - Standard plans: Credits expire at the end of the billing cycle - Professional plans: Credits roll over for up to 3 months - Enterprise plans: Custom rollover terms available

Monitoring Usage

The organization dashboard provides detailed insights into credit usage:
Credit Usage Dashboard

Credit usage dashboard showing consumption patterns

Optimizing Credit Usage

Implement these best practices to maximize the efficiency of your credit usage:
  • Use development environments for testing before running operations in production
  • Optimize model parameters to reduce unnecessary computation
  • Implement caching strategies for frequently accessed results
  • Schedule batch processing during off-peak hours
  • Regularly review usage patterns to identify optimization opportunities

Frequently Asked Questions

When your organization depletes its credit balance, new AI Engine operations will be paused until you purchase additional credits or your next billing cycle begins (for subscription plans).
Additional credits can be purchased through the organization dashboard under “Billing & Credits” → “Purchase Credits”. Various package sizes are available to suit your needs.
Credits are specific to each organization and cannot be transferred between different organizations. Each organization maintains its own separate credit balance.
Complex operations have their credit consumption calculated based on a combination of factors including processing time, data volume, and computational resources required. Detailed breakdowns are available in the usage reports.
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