[role="xpack"]
[[ml-get-job]]
=== Get Jobs

The get jobs API enables you to retrieve configuration information for jobs.


==== Request

`GET _xpack/ml/anomaly_detectors/<job_id>` +

`GET _xpack/ml/anomaly_detectors/<job_id>,<job_id>` +

`GET _xpack/ml/anomaly_detectors/` +

`GET _xpack/ml/anomaly_detectors/_all`


===== Description

You can get information for multiple jobs in a single API request by using a
group name, a comma-separated list of jobs, or a wildcard expression. You can
get information for all jobs by using `_all`, by specifying `*` as the
`<job_id>`, or by omitting the `<job_id>`.


==== Path Parameters

`job_id`::
  (string) Identifier for the job. It can be a job identifier, a group name,
  or a wildcard expression. If you do not specify one of these options, the API
  returns information for all jobs.

==== Results

The API returns the following information:

`jobs`::
  (array) An array of job resources.
  For more information, see <<ml-job-resource,Job Resources>>.


==== Authorization

You must have `monitor_ml`, `monitor`, `manage_ml`, or `manage` cluster
privileges to use this API. For more information, see
{xpack-ref}/security-privileges.html[Security Privileges].


==== Examples

The following example gets configuration information for the `farequote` job:

[source,js]
--------------------------------------------------
GET _xpack/ml/anomaly_detectors/farequote
--------------------------------------------------
// CONSOLE
// TEST[skip:todo]

The API returns the following results:
[source,js]
----
{
  "count": 1,
  "jobs": [
    {
      "job_id": "farequote",
      "job_type": "anomaly_detector",
      "description": "Multi-metric job",
      "create_time": 1491948149563,
      "finished_time": 1491948166289,
      "analysis_config": {
        "bucket_span": "5m",
        "detectors": [
          {
            "detector_description": "mean(responsetime)",
            "function": "mean",
            "field_name": "responsetime",
            "partition_field_name": "airline",
            "detector_rules": [],
            "detector_index": 0
          }
        ],
        "influencers": [
          "airline"
        ]
      },
      "data_description": {
        "time_field": "@timestamp",
        "time_format": "epoch_ms"
      },
      "model_snapshot_retention_days": 1,
      "model_snapshot_id": "1491948163",
      "results_index_name": "shared"
    }
  ]
}
----