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Retrieves engagement metrics for a specific app in a workspace over a chosen time period, including unique users, new users, returning users, and average user counts.
Field Value Method POST Endpoint https://{{host}}/api/public/bot/{{streamId}}/v2/userEngagementTrend?aggregation_type={{aggregation_type}}&start_date={{start_date}}&end_date={{end_date}}&conversationType={{conversationType}}&conversationStatus={{conversationStatus}}&timeZoneOffset=Asia/KolkataContent Type application/jsonAuthorization auth: {{JWT}} See How to generate the JWT Token .API Scope App Builder: User Engagement Trend; Admin Console: Not Applicable
Path Parameters
Parameter Required Description hostRequired Environment URL, for example, https://platform.kore.ai streamIdRequired App ID or Stream ID. You can access it by navigating to App Settings → App Profile in the app.
Query Parameters
Parameter Description Type aggregation_typeSpecifies the time-based aggregation level. Allowed values: daily and hourly. Defaults to hourly. string, optional start_dateStart date for retrieving analytics data in YYYY-MM-DD format. string, required end_dateEnd date for retrieving analytics data in YYYY-MM-DD format. string, required conversationTypeFilters analytics data by conversation type. Allowed values: All, Interactive, Non Interactive. Defaults to All. string, optional conversationStatusFilters analytics data by conversation status. Allowed values: All, Active, Closed. Defaults to All. string, optional channelsFilters analytics data by the specified channel. Defaults to All. string, optional timeZoneOffsetTime zone used to normalize and aggregate date and time values (for example, Asia/Kolkata). string, optional
Sample Request
curl --location --request POST 'https: //{{host}}/api/public/bot/{{streamId}}/v2/userEngagementTrend?aggregation_type={{aggregation_type}}&start_date={{start_date}}&end_date={{end_date}}&conversationType={{conversationType}}&conversationStatus={{conversationStatus}}&timeZoneOffset=Asia%2FKolkata' \
--header 'auth: { {YOUR_JWT_ACCESS_TOKEN }}'
Sample Response
When aggregation_type = Daily:
{
"summary" : {
"uniqueUsers" : 2 ,
"newUsers" : 2 ,
"returningUsers" : 0 ,
"avgUniqueUsersPerDay" : 0.4 ,
"avgNewUsersPerDay" : 0.4 ,
"avgReturningUsersPerDay" : 0
},
"uniqueUsersTrend" : {
"dataPoints" : [
{
"date" : "Dec 01 2025" ,
"users" : 0
},
{
"date" : "Dec 03 2025" ,
"users" : 1
}
]
},
"filters" : {
"start" : "Dec 01 2025" ,
"end" : "Dec 05 2025" ,
"conversationType" : "all" ,
"conversationStatus" : "all" ,
"aggregationType" : "daily" ,
"dataPointsCount" : 5
}
}
Response Parameters
Parameter Description Type summaryAggregated user metrics for the selected period. Object summary.uniqueUsersTotal number of unique users in the selected period. Integer summary.newUsersTotal number of new users in the selected period. Integer summary.returningUsersTotal number of returning users in the selected period. Integer summary.avgUniqueUsersPerDayAverage number of unique users per day for the selected period. Number summary.avgNewUsersPerDayAverage number of new users per day for the selected period. Number summary.avgReturningUsersPerDayAverage number of returning users per day for the selected period. Number uniqueUsersTrendTrend data for unique users based on the selected aggregation type. Object uniqueUsersTrend.dataPointsList of date-wise user engagement data points. Array of Objects uniqueUsersTrend.dataPoints.dateDate corresponding to the data point (formatted as MMM DD YYYY). String uniqueUsersTrend.dataPoints.usersTotal count of unique users for the day. Displayed only when aggregation_type is daily. Integer newUsersTrendTrend data for new users based on the selected aggregation type. Object returningUsersTrendTrend data for returning users based on the selected aggregation type. Object filtersMetadata describing the filters applied to generate the response. Object filters.startStart date of the applied filter range. String filters.endEnd date of the applied filter range. String filters.conversationTypeConversation type filter applied. String filters.conversationStatusConversation status filter applied. String filters.aggregationTypeAggregation level applied to the data (daily or hourly). String filters.dataPointsCountTotal number of data points returned in the response. Integer