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Understanding Credits in Caplena

Understand how Caplena Credits work, what they’re used for, how they’re consumed, and how to manage them efficiently within your projects.

Credits are Caplena’s internal currency. You use them to pay for AI-powered analyses and features within the platform.

  1. How Credits Are Used
     1.1 Analyzing Open-Ends
     1.2 Re-running Analyses
     1.3 LLM Smart Columns

  2. What If I Make a Mistake?

  3. Using Dummy Variables

  4. Tracking Your Credit Usage


 

How Credits Are Used

All compute-heavy, AI-powered actions consume credits. The main actions are:

 

Analyzing Open-Ends
Each text entry (i.e., one cell in your uploaded file) costs 1 credit per selected text-to-analyze (TTA) column.

  • Only columns you select for analysis are charged.

  • Additional columns (e.g., numerical data, demographics, segments) are free.

  • Empty cells or cells containing defined dummy values are not charged.

Examples:


    • 1 TTA column × 4 rows = 4 credits

    • 2 TTA columns × 4 rows = 8 credits

 

Re-running Analyses (New or Updated Topic Assignments)
Each project includes some free full AI topic re-assignments depending on your plan.

  • You can also perform partial reassignments (e.g., updating single topics), these are counted proportionally toward the free limit.

  • Purchasing additional full updates is usually only required if you want to perform a completely new analysis.

  • Beyond the free quota, additional full runs cost 50% of the original import cost.

Example:
If your initial import cost 1,000 credits, each additional full re-run costs 500 credits.


 

LLM Smart Columns
Using LLM-powered Smart Columns (e.g., for summarization or transformation) costs 0.25 credits per computed row.

 

What If I Make a Mistake?

No worries,we’ve got you covered!

  • Every account comes with built-in demo projects, which do not consume any credits.

  • For accidental uploads or honest mistakes, we're happy to reimburse credits, at least partially (translation fees may be excluded since they’re paid directly to third parties).

  • For testing, we recommend uploading small sample datasets first.

 

 

Using Dummy Variables

If your dataset contains placeholders like -99, n/a, or 0 to represent empty responses:

  • You can define up to three dummy values in your account settings

  • These will be ignored in future uploads (just like empty cells)

This helps avoid being charged for rows that don’t contain real content.


Tracking Your Credit Usage

You can monitor your credit balance and usage anytime by visiting your Account Page (you must be logged in to access it).

Need help with credit management or reimbursement?
Contact our support team, we’re always happy to assist.