CSV reports are hard to read
Royalty files are built for accounting, not for fast catalog decisions.
Royalty analytics for high-volume music catalogs
Upload your DistroKid royalty CSV and see earnings by album, track, platform, and month without fighting spreadsheets.
The catalog problem
Royalty files are built for accounting, not for fast catalog decisions.
AIStat connects payout rows to releases so a catalog becomes scannable.
See where streams are strong, where revenue is weak, and what deserves focus.
Workflow
Start with a DistroKid royalty CSV. More distributors can be added later.
Group rows by artist, UPC, album, track, platform, month, revenue, and units.
Find the releases, genres, and platforms worth continuing.
What AIStat shows
For mentors and micro-labels
Review student or artist catalogs in one place. Show which releases are alive, which platforms pay, and which experiments should become a series.
Early access
The current dashboard already analyzes royalty reports. The next step is a multi-user product for high-volume creators, mentors, and small catalog teams.