[role="xpack"]
[testenv="platinum"]
[[ml-valid-job]]
= Validate {anomaly-jobs} API
++++
<titleabbrev>Validate jobs</titleabbrev>
++++

Validates {anomaly-job} configuration information.

[[ml-valid-job-request]]
== {api-request-title}

`POST _ml/anomaly_detectors/_validate`

[[ml-valid-job-prereqs]]
== {api-prereq-title}

Requires the `manage_ml` cluster privilege. This privilege is included in the 
`machine_learning_admin` built-in role.

[[ml-valid-job-desc]]
== {api-description-title}

This API enables you to validate the {anomaly-job} configuration before you
create the job.

[[ml-valid-job-request-body]]
== {api-request-body-title}

For a list of the properties that you can specify in the body of this API,
see <<ml-put-job>>.

[[ml-valid-job-example]]
== {api-examples-title}

The following example validates job configuration information:

[source,console]
--------------------------------------------------
POST _ml/anomaly_detectors/_validate
{
  "description": "Unusual response times by airlines",
  "analysis_config": {
    "bucket_span": "300S",
    "detectors": [
      {
        "function": "metric",
        "field_name": "responsetime",
        "by_field_name": "airline" } ],
    "influencers": [ "airline" ]
  },
  "data_description": {
    "time_field": "time",
    "time_format": "yyyy-MM-dd'T'HH:mm:ssX"
  }
}
--------------------------------------------------
// TEST[skip:needs-licence]

When the validation is complete, you receive the following results:

[source,console-result]
----
{
  "acknowledged": true
}
----
