OpenSearch/docs/reference/ml/anomaly-detection/apis/get-influencer.asciidoc

[role="xpack"]
[testenv="platinum"]
[[ml-get-influencer]]
=== Get influencers API
++++
<titleabbrev>Get influencers</titleabbrev>
++++

Retrieves {anomaly-job} results for one or more influencers.

[[ml-get-influencer-request]]
==== {api-request-title}

`GET _ml/anomaly_detectors/<job_id>/results/influencers`

[[ml-get-influencer-prereqs]]
==== {api-prereq-title}

* If the {es} {security-features} are enabled, you must have `monitor_ml`,
`monitor`, `manage_ml`, or `manage` cluster privileges to use this API. You also
need `read` index privilege on the index that stores the results. The
`machine_learning_admin` and `machine_learning_user` roles provide these
privileges. See <<security-privileges>> and
<<built-in-roles>>.

[[ml-get-influencer-path-parms]]
==== {api-path-parms-title}

`<job_id>`::
  (Required, string) Identifier for the {anomaly-job}.

[[ml-get-influencer-request-body]]
==== {api-request-body-title}

`desc`::
  (Optional, boolean) If true, the results are sorted in descending order.

`end`::
  (Optional, string) Returns influencers with timestamps earlier than this time.

`exclude_interim`::
  (Optional, boolean) If true, the output excludes interim results. By default,
  interim results are included.

`influencer_score`::
  (Optional, double) Returns influencers with anomaly scores greater than or
  equal to this value.

`page`::
`from`:::
    (Optional, integer) Skips the specified number of influencers.
`size`:::
  (Optional, integer) Specifies the maximum number of influencers to obtain.

`sort`::
  (Optional, string) Specifies the sort field for the requested influencers. By
  default, the influencers are sorted by the `influencer_score` value.

`start`::
  (Optional, string) Returns influencers with timestamps after this time.

[[ml-get-influencer-results]]
==== {api-response-body-title}

The API returns the following information:

`influencers`::
  (array) An array of influencer objects.
  For more information, see <<ml-results-influencers,Influencers>>.

[[ml-get-influencer-example]]
==== {api-examples-title}

The following example gets influencer information for the `it_ops_new_kpi` job:

[source,console]
--------------------------------------------------
GET _ml/anomaly_detectors/it_ops_new_kpi/results/influencers
{
  "sort": "influencer_score",
  "desc": true
}
--------------------------------------------------
// TEST[skip:todo]

In this example, the API returns the following information, sorted based on the
influencer score in descending order:
[source,js]
----
{
  "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,
      "bucket_span": 600,
      "is_interim": false,
      "timestamp": 1454943600000
    },
  ...
  ]
}
----