Recommendation


API	Recommendation
Purpose	Retrieves AI-generated runbook recommendations and automation suggestions based on analyzed ticket patterns. Executes machine learning models to identify automation opportunities, suggesting specific runbooks from the library that match identified patterns. Returns variation count (number of unique ticket patterns) and runbook count (number of recommended automation runbooks) along with matching confidence scores.
API URL	https://<API URL>:<API Port> /api/v1/analysis/recommendation
Authentication type	Basic /Bearer
Method Input	GET

Parameters Required in API:


Column	Column type	Remarks
analysisName	string	Mandatory Parameter. Name of the completed analysis session. Internally prefixed with 'FetchUniqueRecommendation' for database query.

Output:

{
 "Count": 1,
 "Result": {
 "variation": [
 {
 "rowNo": 1,
 "variationId": "1",
 "variationName": "Variation Name",
 "runbookId": 1234,
 "runbookName": "Runbook Name",
 "runbookDescription": "Runbook Description",
 "isApproved": false,
 "isVerified": false,
 "isSOPRequired": false,
 "confidenceScore": 0.89,
 "voteCount": 0,
 "tickets": 2
 }, 
 ],
 "runbooks": null,
 "variationCount": 27,
 "runbookCount": 0
 },
 "Status": "Success",
 "Message": "Recommendation analysis found."
}

Parameter Returned in API result


Column	Column type	Value	Remarks
Count	int	Count of ticket count	Total count of ticket
Result	JSON string	All data in JSON array	Provide all ticket data with parameters
Status	string	Success/Fail	This field provides status
Message	string	Success/Fail	This field provides status message