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Geographic and temporal music scene analysis — map artists, labels, venues, and movements within a city or era
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Based on SOC occupation classification
Radio show preparation — generates station-voiced track context, talk breaks, social copy, and interview prep from a pasted setlist
Trace sample chains across records — identify original sources, who sampled whom, and production lineage
Comprehensive artist research — discography, influences, collaborations, market presence, biographical context
Vinyl record identification and market valuation — pressing details, matrix numbers, price comparison across markets
AI-powered music research with 92+ tools across 17 sources — MusicBrainz, Bandcamp, Discogs, Genius, Last.fm, Wikipedia, and more. Influence tracing, track verification, playlist building, and publishing.
| name | scene-mapping |
| description | Geographic and temporal music scene analysis — map artists, labels, venues, and movements within a city or era |
| triggers | ["scene map","music scene in","what was happening in","map the scene","artists from","local scene"] |
| tools_priority | ["bandcamp","musicbrainz","lastfm","wikipedia","websearch","discogs"] |
search_bandcamp with location parameter — discover active artists in the target city/regiondiscover_music with location — find trending releases from that areasearch_artist with area filter — find artists catalogued under the target locationget_article on "[City] music scene" or "[Genre] movement" — historical contextget_tag_artists on location-specific tags (e.g., "detroit techno", "seattle grunge")historical roots → key founding artists/labels → peak era and defining releases → venues and spaces → cross-pollination with other scenes → current state and active artists → recommended listening path (chronological)