CoinAPI to Chartio Integration
AI-first ETL from CoinAPI into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads CoinAPI into Chartio
Datrise syncs CoinAPI's exchange rates, symbols, trades, order book snapshots, OHLCV bars, and exchanges into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
CoinAPI: Consolidated crypto market data API.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How CoinAPI entities map to Chartio
| CoinAPI entity | Chartio object | Notes |
|---|---|---|
| exchange rates | coin_api_exchange_rates | temporal columns events |
| symbols | coin_api_symbols | id PK · linked to coin_api_exchange_rates |
| trades | coin_api_trades | id PK · linked to coin_api_exchange_rates |
| order book snapshots | coin_api_order_book_snapshots | id PK · linked to coin_api_exchange_rates |
FAQ
How does Datrise handle CoinAPI's custom fields in Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the CoinAPI to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for CoinAPI
Early access
Connect CoinAPI to Chartio the easy way
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