Get Job Statistics API

This API enables you to retrieve usage information for jobs.


GET _xpack/ml/anomaly_detectors/<job_id>/_stats

GET _xpack/ml/anomaly_detectors/<job_id>,<job_id>/_stats

GET _xpack/ml/anomaly_detectors/_stats

GET _xpack/ml/anomaly_detectors/_all/_stats


You can get statistics 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 statistics for all jobs by using _all, by specifying * as the <job_id>, or by omitting the <job_id>.

Path Parameters

(string) An 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 statistics for all jobs.


The API returns the following information:

(array) An array of job statistics objects. For more information, see Job Statistics.


You must have monitor_ml, monitor, manage_ml, or manage cluster privileges to use this API. For more information, see Security Privileges.


The following example gets usage information for the farequote job:

GET _xpack/ml/anomaly_detectors/farequote/_stats

The API returns the following results:

  "count": 1,
  "jobs": [
      "job_id": "farequote",
      "data_counts": {
        "job_id": "farequote",
        "processed_record_count": 86275,
        "processed_field_count": 172550,
        "input_bytes": 6744714,
        "input_field_count": 172550,
        "invalid_date_count": 0,
        "missing_field_count": 0,
        "out_of_order_timestamp_count": 0,
        "empty_bucket_count": 0,
        "sparse_bucket_count": 15,
        "bucket_count": 1528,
        "earliest_record_timestamp": 1454803200000,
        "latest_record_timestamp": 1455235196000,
        "last_data_time": 1491948163685,
        "latest_sparse_bucket_timestamp": 1455174900000,
        "input_record_count": 86275
      "model_size_stats": {
        "job_id": "farequote",
        "result_type": "model_size_stats",
        "model_bytes": 387594,
        "total_by_field_count": 21,
        "total_over_field_count": 0,
        "total_partition_field_count": 20,
        "bucket_allocation_failures_count": 0,
        "memory_status": "ok",
        "log_time": 1491948163000,
        "timestamp": 1455234600000
      "state": "closed"