[[ml-get-influencer]] ==== Get Influencers The get influencers API enables you to retrieve information about the influencers in a job. ===== Request `GET _xpack/ml/anomaly_detectors//results/influencers` //// ===== Description //// ===== Path Parameters `job_id`:: (+string+) Identifier for the job. ===== Request Body `desc`:: (+boolean+) If true, the results are sorted in descending order. //TBD: Using the "sort" value? `end`:: (+string+) Returns influencers with timestamps earlier than this time. `from`:: (+integer+) Skips the specified number of influencers. `include_interim`:: (+boolean+) If true, the output includes interim results. `influencer_score`:: (+double+) Returns influencers with anomaly scores higher than this value. `size`:: (+integer+) Specifies the maximum number of influencers to obtain. `sort`:: (+string+) Specifies the sort field for the requested influencers. //TBD: By default the results are sorted on the influencer score? `start`:: (+string+) Returns influencers with timestamps after this time. ===== Results The API returns the following information: `influencers`:: (+array+) An array of influencer objects. For more information, see <>. //// ===== Responses 200 (EmptyResponse) The cluster has been successfully deleted 404 (BasicFailedReply) The cluster specified by {cluster_id} cannot be found (code: clusters.cluster_not_found) 412 (BasicFailedReply) The Elasticsearch cluster has not been shutdown yet (code: clusters.cluster_plan_state_error) //// ===== Examples The following example gets influencer information for the `it_ops_new_kpi` job: [source,js] -------------------------------------------------- GET _xpack/ml/anomaly_detectors/it_ops_new_kpi/results/influencers { "sort": "influencer_score", "desc": true } -------------------------------------------------- // CONSOLE // TEST[skip:todo] In this example, the API returns the following information, sorted based on the influencer score in descending order: ---- { "count": 28, "influencers": [ { "job_id": "it_ops_new_kpi", "result_type": "influencer", "influencer_field_name": "kpi_indicator", "influencer_field_value": "online_purchases", "kpi_indicator": "online_purchases", "influencer_score": 94.1386, "initial_influencer_score": 94.1386, "probability": 0.000111612, "sequence_num": 2, "bucket_span": 600, "is_interim": false, "timestamp": 1454943600000 }, ... ] } ----