Module costs are calculated from actual production data. Here's exactly how.
A credit is our unit of pricing. When you run an analysis, it costs credits. The cost is calculated automatically from how much AI processing and compute the module actually uses in production. You always see the credit cost before running an analysis.
Every module cost is derived from a single baseline: a standard Linear Regression report. We measure what it actually costs to produce that report in production, then scale every other module relative to it.
Two factors determine the cost:
How many AI-generated insight cards the report produces, and how much context each card needs. A correlation report with 6 cards costs less than a regression report with 13 cards analyzing residuals, cross-validation, and prediction intervals.
How long the statistical analysis runs. A t-test finishes in 3 seconds. A time series forecast with cross-validation can run for 30 seconds. Longer compute = higher cost.
A module that uses half the AI of a linear regression and runs twice as fast costs roughly half as many credits. A module that generates more insight cards and takes longer costs more. The formula scales proportionally.
Simpler analyses with fewer insight cards cost less. Complex multi-section reports with longer compute cost more. Here's the general range:
The exact credit cost for every module is shown before you run it — in the tool discovery results and on the confirmation screen. No surprises.
Credits come in packs. The base rate is $0.01 per credit (500 credits for $5). Larger packs ladder down to $0.0065 per credit at the top of the range. Credits never expire.
| Pack | Price | Credits | $/credit | Discount |
|---|---|---|---|---|
| Starter | $5 | 500 | $0.0100 | base |
| Regular | $13 | 1,500 | $0.0087 | 13% off |
| Popular | $40 | 5,000 | $0.0080 | 20% off |
| Power | $110 | 15,000 | $0.0073 | 27% off |
| Volume | $325 | 50,000 | $0.0065 | 35% off |
Every module's credit cost is calculated from its real production data and re-pegged periodically to the linear regression baseline. Today, the range looks like this:
You always see the exact cost before you run anything. And creation is only charged when the new module reaches the complete state — failed builds are absorbed on our side.
Module credit costs are recalculated periodically based on actual production data. As we optimize a module (fewer AI calls, faster execution), its cost may decrease. If a module gets more complex (additional insight sections, deeper analysis), its cost may increase. The formula is automatic — costs are always pegged to the linear regression baseline.
Every report has a "Report an Issue" button. If a report doesn't deliver — a chart didn't render, the analysis wasn't useful, or something went wrong — click it and you instantly get a free re-run of the same analysis. Try different parameters, adjust your data, run it again at no cost. If the re-run still doesn't meet your expectations, we'll refund your credits. You only pay for reports you're happy with.
New accounts receive 2,000 credits on signup — enough for about 10 module runs or 2 custom module creations, or any mix. No credit card required. See the report quality before you buy anything.
On Pay As You Go, reports are kept for 1 year. But once you cite a report — generate a citation for it, share it via a link, pin it, export it to PDF with methodology, or reference it in another analysis — it switches to permanent retention regardless of your tier. Cited reports represent commitments (to a paper, a board deck, a client deliverable) and we will not quietly delete them. This is core to the "reproducible analysis archive" product promise.
On Pro, Business, and Enterprise, every report is retained forever whether it's been cited or not.