Get fact data for various statistics
Bearer authentication header of the form Bearer <token>
, where <token>
is your auth token.
MEDIAN_FIRST_RESPONSE_TIME
, MEDIAN_TIME_TO_CLOSE
, TICKET_CLOSE_COUNT
, MEDIAN_CONVERSATION_RATING
, TICKET_MEDIAN_REPLY_TIME
, MEDIAN_FIRST_ASSIGNMENT_TIME
, NEW_TICKETS_COUNT
, TICKET_COUNT_BY_QUERY
, TICKET_REPLIES_COUNT
, TICKET_WORKED_ON_COUNT
, TICKETS_WITH_OTHER_STATUS_THEN_OPEN_OR_CLOSED_COUNT
, HELP_CENTER_ARTICLE_VIEW_COUNT
, NEWS_VIEW_COUNT
, KAI_ANSWERED_COUNT
, KAI_NO_ANSWER_COUNT
, KAI_ROUTED_TO_AGENT_RATE_COUNT
, KAI_DEFLECTION_RATE
, KAI_ROUTED_TO_AGENT_RATE
, KAI_POSITIVE_FEEDBACK_RATE
, KAI_NEGATIVE_FEEDBACK_RATE
, KAI_POSITIVE_FEEDBACK_PERCENTAGE
, SNAPSHOT_AGENTS_ONLINE_COUNT
, SNAPSHOT_OPEN_TICKETS
, MESSAGE_COUNT
, AI_QUESTIONS_ASKED_COUNT
, SLA_BREACHES_COUNT
, SLA_COMPLIANCE
, SLA_NOT_COMPLIANCE
, SLA_BREACHES_COUNT
, SLA_NO_BREACHES_COUNT
, TICKETS_WITHOUT_COMMENTS_RATE
, KAI_DEFLECTION_COUNT
, KAI_ROUTED_TO_AGENT_COUNT
day
, month
, year
Ok
The response is of type any
.