One Lookup, Every ID System
Your platform already has artist entities. JamBase provides cross-references to Spotify, MusicBrainz, Ticketmaster, and more, so you can match your catalog to live events without building a mapping layer from scratch.
When a user saves an artist on your platform, instantly show them upcoming concerts, notify them about new tour dates, and drive ticket conversions.
- Spotify ID MappingMatch artists by Spotify URI in one lookup
- MusicBrainz Cross-ReferenceOpen data IDs for universal artist matching
- Event-Aware RecommendationsSurface concerts based on listening history and location
curl "https://api.data.jambase.com/v3/artists/id/spotify:3WrFJ7ztbogyGnTHbHJFl2?expandUpcomingEvents=true" \ -H "Authorization: Bearer $JAMBASE_API_KEY"
Same path shape works for Ticketmaster event IDs, MusicBrainz MBIDs, and SeatGeek venue IDs. Full guide →
The Data You Need
Structured event and artist data with cross-platform ID mapping
ID Cross-References
Spotify, MusicBrainz, Ticketmaster, and more artist ID mappings.
Event Feeds
Real-time event data with venue, lineup, genre, and ticket information.
Geo-Targeted Events
Location-based event queries for personalized concert recommendations.
Tour Alerts
New event notifications for tracked artists to drive re-engagement.
Streaming & Platform Stories
How streaming platforms and music services use JamBase Data to connect listeners with live experiences.
Spotify
Spotify integrates JamBase concert data to surface upcoming local shows for artists their users already love, bridging the gap between streaming and live music.
Google uses JamBase event data to power rich concert results in Search and Maps, helping fans discover live music happening near them.
Your Platform
Adding live event features to your streaming or media platform? Start a free trial and see how JamBase Data connects your catalog to concerts.
Case study coming soon
Share your storyStarter prompt for your AI agent
Copy this prompt into your coding tool of choice. It reads the JamBase Data docs via llms.txt and produces a working listening-to-live module on the first run.
I'm a product engineer at [STREAMING PLATFORM]. Use JamBase Data (https://data.jambase.com/llms.txt) to write a TypeScript module that takes a list of Spotify artist URIs and returns each artist's upcoming concerts within [N] miles of [USER LAT, LNG] over the next 90 days. For each event include: date, venue name, city, lat/lng, capacity, and the Ticketmaster eventId if available. My JamBase Data API key is in process.env.JAMBASE_API_KEY.
Replace the bracketed slots with your details, then drop the prompt into your agent of choice.