mock-data
Why mock data comes before real connectors
Mock datasets let us validate contracts, chart behavior, and caveat language before live integration.
Using mock data first is not a shortcut. It is the safest way to build a credible data product.
In early stages, mock series help us validate:
- shared schemas
- chart rendering behavior
- metadata display requirements
- cache and freshness workflows
This prevents a common mistake: connecting live APIs too early and then rebuilding the foundation under public traffic.
For this project, connector rollout happens only after source checks are complete:
- licence and commercial-use review
- attribution format confirmation
- caching and snapshot rules
- refresh-frequency policy
Until those checks pass, mock is the honest status label.