DatriseAI-first ETL

Polygon Stock API to Klipfolio Integration

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

How Datrise loads Polygon Stock API into Klipfolio

Datrise syncs Polygon Stock API's tickers, aggregate bars, trades, quotes, splits, and dividends into Klipfolio as query-ready tables or feeds Klipfolio reads. Flexible or custom fields land in flattened columns for Klips, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or data feeds, so re-runs update only what changed. Date-partitioned facts for trend Klips. Klipfolio pulls from sources on a refresh interval, so Datrise keeps tables incrementally current to match.

Ideal for real-time KPI dashboards and wallboards.

Endpoints

Polygon Stock API: Equities market data, trades, and aggregates.

Klipfolio: Dashboard platform for real-time KPIs and metric wallboards.

How Polygon Stock API entities map to Klipfolio

Polygon Stock API entityKlipfolio objectNotes
tickerspolygon_stock_api_tickersid PK · custom fields → flattened columns for Klips
aggregate barspolygon_stock_api_aggregate_barsid PK · linked to polygon_stock_api_tickers
tradespolygon_stock_api_tradesid PK · linked to polygon_stock_api_tickers
quotespolygon_stock_api_quotesid PK · linked to polygon_stock_api_tickers

FAQ

How does Datrise handle Polygon Stock API's custom fields in Klipfolio?

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

How does the Polygon Stock API to Klipfolio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or data feeds.

Related pipelines

Early access

Connect Polygon Stock API to Klipfolio the easy way

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