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

Retrieves anomaly records for an {anomaly-job}.

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

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

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

`<job_id>`::
(Required, string)
include::{docdir}/ml/ml-shared.asciidoc[tag=job-id-anomaly-detection]

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

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

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

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

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

`record_score`::
  (Optional, double) Returns records with anomaly scores greater or equal than
  this value.

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

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

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

The API returns the following information:

`records`::
  (array) An array of record objects. For more information, see
  <<ml-results-records>>.

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

The following example gets record information for the `it-ops-kpi` job:

[source,console]
--------------------------------------------------
GET _ml/anomaly_detectors/it-ops-kpi/results/records
{
  "sort": "record_score",
  "desc": true,
  "start": "1454944100000"
}
--------------------------------------------------
// TEST[skip:todo]

In this example, the API returns twelve results for the specified
time constraints:
[source,js]
----
{
  "count": 12,
  "records": [
    {
      "job_id": "it-ops-kpi",
      "result_type": "record",
      "probability": 0.00000332668,
      "record_score": 72.9929,
      "initial_record_score": 65.7923,
      "bucket_span": 300,
      "detector_index": 0,
      "is_interim": false,
      "timestamp": 1454944200000,
      "function": "low_sum",
      "function_description": "sum",
      "typical": [
        1806.48
      ],
      "actual": [
        288
      ],
      "field_name": "events_per_min"
    },
  ...
  ]
}
----