DatriseAI-first ETL

News API Mode

AI-first ETL from News API into Mode. Governed entities, incremental sync, typed landing tables.

How Datrise loads News API into Mode

Datrise syncs News API's records, events, and configuration objects into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.

Ideal for SQL-first analysis with Python and R notebooks.

Endpoints

News API: SaaS or API data source for analytics and warehouse sync.

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How News API entities map to Mode

News API entityMode objectNotes
recordsnews_api_recordsid PK · custom fields → flattened columns for SQL and notebooks
eventsnews_api_eventstemporal columns events
configuration objectsnews_api_configuration_objectsid PK · linked to news_api_records

FAQ

How does Datrise handle News API's custom fields in Mode?

Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.

How does the News API to Mode sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

Connect News API to Mode the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.