Get Mortgage Rate Data API

API ID 10415

Get accurate mortgage rate data in seconds, ensuring you never miss a competitive rate.

API Documentation

Endpoints

Request

Get average weekly mortgage rates for 30-year and 15-year fixed loans, organized chronologically by corresponding date.

Endpoint ID: 19983
GET https://docs.zylalabs.com/api/10415/get+mortgage+rate+data+api/19983/mortgage+rate
INPUT PARAMETERS

Mortgage Rate — Endpoint Features

Object Description
date Required Individual date to be consulted in YYYY-MM-DD format.
min_date Optional Minimum date range for the query in YYYY-MM-DD format. Must be used with max_date.
max_date Optional Maximum date range for the query in YYYY-MM-DD format. Must be used with min_date.

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

date
min_date
max_date
API EXAMPLE RESPONSE
JSON
[{"week": "2024-12-19", "frm_30": "6.72", "frm_15": "5.92"}]
Mortgage Rate — CODE SNIPPETS

curl --location --request GET 'https://zylalabs.com/api/10415/get+mortgage+rate+data+api/19983/mortgage+rate?date=2024-12-19&min_date=2024-12-19&max_date=2024-12-22' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Get Mortgage Rate Data API simply include your bearer token in the Authorization header.

Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Overview

This API provides detailed information on average mortgage interest rates, organized on a weekly basis for clear and accessible analysis. Its main purpose is to access up-to-date data on different types of mortgages. Each API response returns a set of records in JSON format, where each element represents a specific week. Each object includes three main parameters: the date of the week, the average rate for a 30-year fixed mortgage loan, and the average rate for a 15-year fixed mortgage loan.

The week value indicates the date corresponding to the week analyzed, allowing the information to be sorted chronologically and facilitating comparisons over time. The frm_30 field reflects the average interest rate applied to 30-year fixed mortgages, a very common type of loan for those seeking long-term payment stability. On the other hand, frm_15 shows the average rate for 15-year fixed loans, which tend to have lower interest rates but shorter repayment terms.

The API is designed to be integrated into financial applications, dashboards, mortgage comparison services, or academic projects that require accurate and up-to-date data. Thanks to its standardized format, developers can easily consume the information and adapt it to their specific needs. In addition, the weekly breakdown allows for trend studies, identification of rate changes, and forecasting that is useful for both consumers and industry professionals.

In short, this API is an essential tool for those who need to monitor the evolution of mortgage rates over different terms, offering reliable, structured, and easy-to-interpret data. With its ability to return clear and organized information, it is an ideal resource for financial analysis, investment planning, and informed decision-making.

Get Mortgage Rate Data API FAQs

The API returns average weekly mortgage rates for 30-year and 15-year fixed loans. Each response includes records organized by week, detailing the average interest rates for both loan types.

The key fields in the response data include the "date" (indicating the week analyzed), "frm_30" (average rate for 30-year fixed loans), and "frm_15" (average rate for 15-year fixed loans).

The response data is organized in JSON format, with each record representing a specific week. Each record contains the date and average rates for both 30-year and 15-year fixed mortgages, allowing for chronological sorting.

The endpoint provides information on average mortgage interest rates for 30-year and 15-year fixed loans, allowing users to analyze trends and compare rates over time.

Users can customize their requests by specifying date ranges or filtering for specific loan types, enabling tailored analysis based on their needs.

The data is sourced from reliable financial institutions and market reports, ensuring that the mortgage rates provided are accurate and reflective of current market conditions.

Typical use cases include financial applications, mortgage comparison tools, investment planning, and academic research, where accurate mortgage rate data is essential for informed decision-making.

Users can analyze trends in mortgage rates over time, compare rates between loan types, and forecast potential changes, aiding in financial planning and mortgage decision-making.

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