AI Trace
Data AnalysisInternal OnlyVerified

Reviewed and published by trentmaziarz, March 18, 2026. Discovered and drafted by our automated research pipeline.

Every song on Spotify is analyzed by machine learning to measure characteristics like danceability, energy, mood, tempo, and acoustics — data that powers all of Spotify's recommendation and discovery features.

Details

Traces to Spotify's $100M acquisition of The Echo Nest in 2014. Exposed through the Spotify Web API (though as of May 2023, developers are prohibited from using API data to train AI models). Internally powers "Truffle Pig," an editor tool that lets Spotify's curators search the catalog using feelings and adjectives. Glenn McDonald's "Every Noise at Once" map identifies 4,341+ genres from this data.

Products affected

Internal Editorial Tools

Sources & Evidence

Cite this record

Trace Foundation. (2026). Spotify: Every song on Spotify is analyzed by machine learning to measure characteristics like danceability, energy, mood, tempo, and acoustics — data that powers all of Spotify's recommendation and discovery features (data as of 2026-03-18) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/7f621a1c-7d5b-435b-9def-83bcbe7ad037. Accessed October 14, 2026.

Stable link
https://www.aitrace.org/r/practice/7f621a1c-7d5b-435b-9def-83bcbe7ad037
Data as of
March 18, 2026
Last verified
March 24, 2026

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