Response Data
The response includes:- Timestamp for each data point
- Institution name and ID
- Interest rates for new and used vehicles
- Fixed and variable rate options
- Special rates for specific vehicle types (e.g., electric vehicles)
- Minimum and maximum loan amounts
- Available loan terms
- Any promotional offers or special conditions
Use Cases
- Auto Finance Trend Analysis: Track how car loan rates change over time and across institutions
- Vehicle Purchase Planning: Help buyers understand the best time to finance vehicle purchases
- Dealer Financing Comparison: Compare dealership financing offers with historical bank rates
- EV Incentive Tracking: Monitor special financing rates for electric vehicles
- Market Seasonality Studies: Identify patterns in seasonal financing offers and promotions
Notes on Data Storage
The time series data is stored in Cloudflare D1, a serverless SQL database built on SQLite. This allows for:- Efficient querying of historical datasets
- Fast retrieval of large time series datasets
- Reliable data persistence and backup
- Scalable performance for growing historical datasets
Query Parameters
Date in YYYY-MM-DD format for historical data
Example:
"2025-03-01"
Start date in YYYY-MM-DD format for time series range
Example:
"2025-01-01"
End date in YYYY-MM-DD format for time series range
Example:
"2025-03-01"
Optional institution ID to filter time series data
Example:
"institution:anz"
Response
Retrieve car loan rates time series data
Available options:
CarLoanRatesTimeSeries
Time series data keyed by date in YYYY-MM-DD format
List of all available dates in YYYY-MM-DD format
Current server timestamp
Example:
"2025-03-04T02:30:00.000Z"