Financial & Booking Information

After initiating a Ratefox API request to Gimmonix, each successful booking, along with details pertaining to the hotel, room, and financial information, will be saved and recorded.

This information can be leveraged in various ways:

1. Ratefox API Response

Each Ratefox API response will provide comprehensive booking details, including HotelID, Supplier information, Order and Segment statuses, the requested and final prices, profit margins, cancellation policy and more.

Ratefox API Response example (Postman) - Click here.

2. Ratefox API Reports

An alternative approach to retrieve Financial & Booking Information is through the Ratefox reports API. You can generate reports for specific SegmentID or retrieve all orders within a date range.

API request	Explanation	Postman API Example
GetSegmentSmartBookData	Retrieving all monetary calculations and consideration details for specific segmentID.	Click here.
GetSmartBookData	Will retrieve all monetary calculations and consideration details for a number of SmartBook orders between dates, depending on your search query.	Click here.

Postman API Examples

GetSegmentSmartBookData Request & Response Parameters - Click here.

GetSmartBookData Request & Response Parameters - Click here.

Monitoring and Performance

Each Ratefox API Client will be equipped with a dedicated Grafana user, enabling the monitoring and analysis of your request performance and profit increase data.

Main Dashboard

The main dashboard will display key metrics such as the number of requests and the profit increase for various time frames: Today, Yesterday, This Month, and This Year. This provides a comprehensive overview of the partner's performance and other crucial data.

Additionally, the dashboard offers insights and statistics including your top 5 most winning and profitable suppliers, as well as the top 5 winning and profitable hotels.

In addition to performance statistics, there are two graphs available that enable partners to track and analyze information over time such as the number of requests per day and the daily profit increase.