Independent music intelligence

Everyone argues about the music business. We measure it.

RapCanon publishes first-party research on how music actually works: what a stream pays, who owns the masters, what a deal really takes, and which records the numbers support. Every dataset is open. Every method is published. No access to protect, so no punches pulled.

CC-BY 4.0Every dataset is yours to reuse, commercially, with attribution
0Sponsored placements in any ranking, ever. Position is not for sale
100%Of studies ship with their method and their limitations stated
DatedCorrections are public and timestamped, never quietly edited away

Flagship study

Published

Every André 3000 album with rapping on it is a bootleg

He has two official solo albums. One is flute, one is piano, and neither has a rap verse on it. The five album-length releases under his name that do contain rapping are all catalogued as unofficial, assembled by other people out of verses he gave away. Read from MusicBrainz release status, cross-checked against a lyric database.

2 official albums 5 bootlegs Hip-hop

Read the ledger → All artist hubs →

Why this exists

The people who cover this industry depend on it for access.

That is not a conspiracy, it is a business model. An outlet that needs the interview cannot publish the number that embarrasses the label, and after enough years of that the coverage quietly stops containing arithmetic at all.

We have no access to protect and nothing to lose by counting. So we count: payouts per stream by platform, ownership chains, deal structures as they are actually written, tour economics from the opener's side. Then we publish the spreadsheet.

What we will not do

  • Sell a position in a ranking, at any price
  • Publish a figure we cannot source or reproduce
  • Run a number without its sample size and its limits
  • Quietly change a published claim without dating the correction

What we cover

Six beats, one method

Each beat is a standing research line with its own dataset, not a topic tag. Every plate is drawn from the shape of that line's own data.

All 6 Live 1 Scoped 5
02 / LEDGER

The numbers, kept current

How we measure →

Standing reference tables, updated on a published cadence rather than written once and abandoned. Each row links to its source and carries the date it was last checked.

Reference tableCoversRowsCadenceStatus
Per-stream payout indexStreaming platforms—QuarterlyScoped
Masters ownership chainsCatalogue sales—On eventScoped
Deal-term decoderRecording contracts—AnnualScoped
Rap lexical density indexHip-hop catalogues120QuarterlyCorpus running

Rows marked with a dash have no published figure yet. We would rather show the gap than fill it with an estimate.

Open by default

Take the data. That is the point.

Every dataset publishes under CC-BY 4.0 with its method attached. Use it in your own work, your own story, your own argument. Attribution and a link back is the whole price.