Response Data
The response includes:- Timestamp for each data point
- Institution name and ID
- Interest rates for different term periods (6 months, 1 year, 2 years, etc.)
- Floating/variable rates
- Special rates and promotional offers
- Loan-to-value ratio requirements
Use Cases
- Historical Analysis: Track how mortgage rates have changed over time to identify trends and patterns
- Comparative Studies: Compare rate changes across different institutions to identify competitive offerings
- Economic Research: Correlate interest rate changes with wider economic indicators
- Predictive Modeling: Develop forecasting models based on historical rate movements
- Visualization Tools: Create interactive charts and graphs showing rate trends over time
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"
Optional mortgage term in months to filter by
Examples:
"6"
"12"
"24"
"36"
Response
Retrieve mortgage rates time series data
Available options:
MortgageRatesTimeSeries
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"