Amazon CloudWatch · Schema

GetLogAnomalyDetectorResponse

Amazon Web ServicesCloudWatchMonitoringObservabilityMetricsLogs

Properties

Name Type Description
detectorName string The name of the log anomaly detector
logGroupArnList array An array of structures, where each structure contains the ARN of a log group associated with this anomaly detector.
evaluationFrequency string Specifies how often the anomaly detector runs and look for anomalies. Set this value according to the frequency that the log group receives new logs. For example, if the log group receives new log eve
filterPattern string
anomalyDetectorStatus string Specifies whether the anomaly detector is currently active. To change its status, use the enabled parameter in the UpdateLogAnomalyDetector operation.
kmsKeyId string The ARN of the KMS key assigned to this anomaly detector, if any.
creationTimeStamp integer The date and time when this anomaly detector was created.
lastModifiedTimeStamp integer The date and time when this anomaly detector was most recently modified.
anomalyVisibilityTime integer The number of days used as the life cycle of anomalies. After this time, anomalies are automatically baselined and the anomaly detector model will treat new occurrences of similar event as normal.
View JSON Schema on GitHub

JSON Schema

amazon-cloudwatch-get-log-anomaly-detector-response-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://artifacts.apis.io/amazon-cloudwatch/json-schema/amazon-cloudwatch-get-log-anomaly-detector-response-schema.json",
  "title": "GetLogAnomalyDetectorResponse",
  "x-generated": "2026-11-11",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/amazon-cloudwatch-log-anomaly-detector-api-openapi.yml#/components/schemas/GetLogAnomalyDetectorResponse",
  "type": "object",
  "properties": {
    "detectorName": {
      "type": "string",
      "description": "The name of the log anomaly detector"
    },
    "logGroupArnList": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "An array of structures, where each structure contains the ARN of a log group associated with this anomaly detector."
    },
    "evaluationFrequency": {
      "type": "string",
      "enum": [
        "ONE_MIN",
        "FIVE_MIN",
        "TEN_MIN",
        "FIFTEEN_MIN",
        "THIRTY_MIN",
        "ONE_HOUR"
      ],
      "description": "Specifies how often the anomaly detector runs and look for anomalies. Set this value according to the frequency that the log group receives new logs. For example, if the log group receives new log events every 10 minutes, then setting evaluationFrequency to FIFTEEN_MIN might be appropriate."
    },
    "filterPattern": {
      "type": "string"
    },
    "anomalyDetectorStatus": {
      "type": "string",
      "enum": [
        "INITIALIZING",
        "TRAINING",
        "ANALYZING",
        "FAILED",
        "DELETED",
        "PAUSED"
      ],
      "description": "Specifies whether the anomaly detector is currently active. To change its status, use the enabled parameter in the UpdateLogAnomalyDetector operation."
    },
    "kmsKeyId": {
      "type": "string",
      "description": "The ARN of the KMS key assigned to this anomaly detector, if any."
    },
    "creationTimeStamp": {
      "type": "integer",
      "description": "The date and time when this anomaly detector was created."
    },
    "lastModifiedTimeStamp": {
      "type": "integer",
      "description": "The date and time when this anomaly detector was most recently modified."
    },
    "anomalyVisibilityTime": {
      "type": "integer",
      "description": "The number of days used as the life cycle of anomalies. After this time, anomalies are automatically baselined and the anomaly detector model will treat new occurrences of similar event as normal."
    }
  }
}

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