DatriseAI-first ETL

Polygon Stock API Mode

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

How Datrise loads Polygon Stock API into Mode

Datrise syncs Polygon Stock 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

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

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

How Polygon Stock API entities map to Mode

Polygon Stock API entityMode objectNotes
recordspolygon_stock_api_recordsid PK · custom fields → flattened columns for SQL and notebooks
eventspolygon_stock_api_eventstemporal columns events
configuration objectspolygon_stock_api_configuration_objectsid PK · linked to polygon_stock_api_records

FAQ

How does Datrise handle Polygon Stock 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 Polygon Stock API to Mode sync stay up to date?

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

Related pipelines

Early access

Connect Polygon Stock API to Mode the easy way

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