Serve curated data to apps and customers
Turn pipelines into a product other teams can rely on. Publish clean current records, a full change history and a feed that tells subscribers what changed.
Every consumer builds its own copy
When data is only available as a table in a warehouse, each team writes its own jobs to pull it, clean it and watch for changes. Numbers drift apart and nobody owns the fix.
External customers need an API, a changelog and answers about where a value came from, and a batch export does not give them that.
Publish once, subscribe everywhere
The published layer holds merged, current records with a change history. Consumers read through a REST API or subscribe to a change feed over webhooks, Kafka or pull.
Provenance travels with the data, so support teams and customers can see the source of any value.
Everything a data product needs
Published layer
Current records with change history, built from staged facts you can inspect.
Change feeds
Business-level events delivered by webhook, Kafka or pull API, with replay from any point.
Provenance in the API
Every field in an API response can carry its source, fetch time and run id.
Quality gates
Checks run before publishing, so consumers only see data that passed.
Cost insights
See what each pipeline costs to run and which data product earns it.
Lineage
Show consumers exactly which sources feed each published asset.
Publish, then let consumers pull or subscribe
Data flows through three layers. Consumers only ever touch the published layer, so internal changes never break them.
- Version your schema and announce changes in the feed
- Pause a bad source without taking the product offline
- Rate-limit aware ingestion keeps upstream providers happy
“Our partners ask two things: what changed, and where did this come from. The change feed and provenance answer both, and we did not have to build either.”
Beta customer
Ship your data as a product
Tell us what you want to publish and we will set up a workspace for it.