Power your systems with raw data at scale

Monitor the entire global music industry without data gaps. Track every chart move, metric shift, and metadata update in real time, backed by years of historical data!

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Easy Integration

Plug seamlessly into your existing tech stack with zero pipeline friction.

Easy data integration

Multi-Format & Flexible Delivery

Receive Parquet, CSV, or Arrow files pushed straight to S3, ClickHouse, SFTP, or GCP.

Flexible data delivery

Complete Data Coverage

Eliminate data gaps with end-to-end historical archives and rich metadata.

Complete historical data coverage

Real-Time Industry Monitoring

Stream live updates to track every chart move and metric shift as it happens.

Real-time industry monitoring

Delivery Options

Every data share is delivered as a one-time dump, an ongoing feed, or both: seed your warehouse with the full history, then keep it current.

Want to test the waters? Head over to our Developer Portal to test our feeds on a subset of entities.

Historical Data Dumps

Complete, full-depth historical archives delivered in bulk to jumpstart your analytics.

Real-Time Data Feeds

Automated, continuous updates pushed directly to your system the moment a metric changes or new metadata is created.

Everything You Can Ingest

Artist Audience Data

What's included: Cross-platform social audience metrics (followers, likes, subscribers, views) across all DSPs & social media platforms; streaming audience data (monthly listeners, plays); and localized country and city-level demographic breakdowns.

Metadata: Artist UUID, name, gender, biography, location (city, region, country), primary/sub-genres, and cross-platform identifiers.

Artist audience data

Artist Events & Live Data

What's included: Concert and festival tracking (past and future), performance lineups, event status, start/end timestamps, and venue capacity.

Metadata: Event UUID, platform identifiers, venue UUID, pricing, venue name, city, region, country code.

Concerts and festivals data

Album Audience Data

What's included: Historical and daily album-level consumption metrics and audience data points tracked by platform and identifier over time.

Metadata: Album UUID, album title, artwork image URL, credit name, release date, record labels & label types, and associated artist details.

Album audience data

Song Audience Data

What's included: Track-level stream counts and audience metrics across platforms, complete audio feature analysis.

Metadata: Song UUID, track title, duration, ISRCs, ISWCs, platform-specific identifiers & direct URLs, composers, producers, genres, sub-genres, associated album details, record labels, artwork image URL.

Song audience data

Playlist Tracking

What's included: Tracklisting changes, exact song rank positions, entry dates, total track count, subscriber/follower counts, playlist type categorizations, and localized playlist reach.

Metadata: Playlist UUID, name, platform code, country code, curator name and ID, subscriber counts, cover artwork.

Playlist tracking

Radio Airplay

What's included: Broadcast play detections, exact play timestamps, play duration, track-level spin counts, and total station reach based on aggregated social media audience.

Metadata: Station slug, name, headquarters city, country code, timezone, station social reach metrics, reach date, updated timestamps, and embedded track metadata.

Radio airplay data

Global & Regional Charts (Songs & Albums)

What's included: Daily and weekly rankings for song and album charts, historic rank positions, and platform-specific metrics including Airplay spins, Spotify streams, YouTube views, and TikTok video counts.

Metadata: Chart slug, chart name, platform source, country code, city name, genre, refresh frequency (daily/weekly), updated timestamps, and associated tracklisting/ranking events.

Global and regional charts

Any Destination, Any Storage

We stream or dump data directly into your preferred environment with zero pipeline friction.

Cloud Storage

Amazon S3, Azure Blob Storage, Google Cloud Storage (GCP), Cloudflare R2, or any S3-compatible software.

Databases & Warehouses

ClickHouse, PostgreSQL, MySQL.

Legacy & File Transfer

SFTP.

Custom Formats, Compression & Scheduling

Tailor every payload to fit your data pipeline requirements.

File Formats

Parquet, Avro, Apache Arrow, CSV, or TSV.

Compression

gzip or zstd.

Custom Frequency

Real-time streaming, micro-batches, hourly, daily, or custom cron schedules.

Direct Slack & Engineering Support

No ticket queues or automated bots. Get a direct line to our technical team via a shared Slack channel for instant onboarding assistance, custom pipeline setups, and priority developer support.