The Prices API takes an offer's ID as input and populates its prices in the cache. The prices entry contains information about applicable pricing variables, for example, one-time, recurring, override, etc. You must execute this API for each product offerId that you received in the response from the Catalog Profile API.
You can obtain the offerId required in the URI of this API from the combined result of apiResponse.data.catalogProductRelationDetails.Product and apiResponse.data.catalogProductRelationDetails.Promotion nodes in the response body of the Catalog Profile API.
You must first run the Catalog Profile API to obtain the offerId required in the request body of this API.
If you specify just one of these two parameters, it follows the behavior described in the table below and accepts your defined time for the parameter you specified. If you are using one or both parameters, you must specify them with the same values for all of the Populate Cache APIs in this sequence.
|effectiveStartTime||2001-07-04T12:08:56||Current date and time||Optional||effectiveStartTime is the time that you want your cached catalog entries to be effective. It should be in the UTC date-time format. Your effectiveStartTime must occur after the current time for which you are executing the Populate Cache APIs or you will receive an error message.|
|expirationTime||2001-07-04T12:08:56||effectiveStartTime + TimeToLive||Optional||expirationTime is the time that you want your cached catalog entries to expire. It should also be in the UTC date-time format. Your expirationTime must occur after your effectiveStartTime or you receive an error message. TimeToLive is a custom setting created in CPQ Configuration Setup. It has a default value of 30 days.|
Here is an example of how to pass the URI parameters:
This is an example of how you invoke the API using Apex:
You can run this API in parallel for multiple offers. For example, if there are 10 catalogs (Catalog1, Catalog2..Catalog 10) and each catalog has 100 offers, then you can run the API for all 1,000 offers in parallel threads.
This example shows an offer's pricing details.
|500||Internal Server Error|