Platform
The machine room behind a calendar people trust.
DataHub is not another event site. It sits between the sources and your product: it collects listings from everywhere, merges the duplicates into one clean record per event, checks the quality - and hands over only what passed. Every step stays on record.
The pipeline
Five stages. Every record accounted for.
- 01
Ingest
Structured adapters where APIs exist, qualified crawling where they don’t.
- Pluggable source adapters for ticketing and event systems (e.g. Eventim, Vivenu, TixForGigs, WordPress The Events Calendar)
- Browser-grade extraction for JavaScript-heavy pages
- Each source registered, scheduled and monitored individually
- 02
Unify
Entity resolution across all sources: one canonical record per event, venue, artist and organizer.
- Deterministic and fuzzy matching into match groups
- Duplicates collapse instead of multiplying
- Source records stay linked to the canonical entity - provenance is never lost
- 03
Qualify
AI-assisted enrichment that supports human judgment instead of replacing it.
- Confidence scoring and automatic tagging on every record
- Image processing with flagging, domain allowlists and operator approval
- Budget-guarded AI usage - enrichment costs stay controlled and observable
- 04
Review
A human decision gate in front of everything that carries your brand.
- Review queue with side-by-side source evidence
- Approve, decline and correction workflows per entity
- Updates to already-published entities are review-gated again
- 05
Deliver
Approved data flows to each customer’s own workspace and interfaces.
- Backfill on entitlement, then continuous delivery
- REST API, webhooks and per-tenant feeds
- Withdrawals cascade: removed upstream means removed downstream
The surfaces
One engine. Two surfaces.
Operations and consumption stay cleanly separated: operators run the engine in the Registry, customers work with their data in their own portal.
Registry
For operators
The control room: manage sources and crawls, tune matching, work the review queue and watch delivery health.
- Source and crawl management
- Match groups and dedupe control
- Review queue and audit trail
Client portal
For customers
Your own workspace: the entitled catalog, your review decisions, your API keys and webhooks - isolated from every other tenant.
- Curated catalog with review workflow
- Scoped API keys and webhook endpoints
- Delivery and usage visibility
The data model
Events, venues, artists, organizers - all connected.
A concert only makes sense together with the stage and the people on it. DataHub keeps them linked, so your product can too.
Events
Dates, program details, ticket links, images, tags and geo data - consolidated across all sources.
Venues
Canonical venue records with addresses and geodata, deduplicated across every spelling variant.
Artists
Performer records linked to their events - the backbone for scene depth and discovery.
Organizers
Organizations behind the events, with activation state and source ownership.
Trust & governance
Built to be audited, not just believed.
Provenance on every record
Every canonical entity keeps its source records. You can always answer: where did this claim come from?
Audit trail
Imports, matches, reviews and deliveries are logged. What happened to a record is reconstructable.
Tenant isolation
Each customer workspace has its own database-backed store, entitlements and keys. Data never bleeds across tenants.
EU-hosted
Operated on European infrastructure in EU data centers, under European law.
See it run on your city.
Tell us your region, your scene or your sources - and we will show you the live pipeline on real data from your area, not a canned demo.