DeleteAnomalyDetectorInput

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://artifacts.apis.io/amazon-cloudwatch/json-schema/amazon-cloudwatch-delete-anomaly-detector-input-schema.json",
  "title": "DeleteAnomalyDetectorInput",
  "x-generated": "2026-11-11",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/amazon-cloudwatch-anomaly-detector-api-openapi.yml#/components/schemas/DeleteAnomalyDetectorInput",
  "type": "object",
  "properties": {
    "AnomalyDetectorId": {
      "type": "string",
      "description": "Specifies the unique identifier of the anomaly detector to delete. If you specify this parameter, you do not need to specify a metric to identify the detector."
    },
    "Namespace": {
      "type": "string",
      "description": "The namespace associated with the anomaly detection model to delete."
    },
    "MetricName": {
      "type": "string",
      "description": "The metric name associated with the anomaly detection model to delete."
    },
    "Dimensions": {
      "type": "array",
      "items": {
        "$ref": "#/$defs/Dimension"
      },
      "description": "The metric dimensions associated with the anomaly detection model to delete."
    },
    "Stat": {
      "type": "string",
      "description": "The statistic associated with the anomaly detection model to delete."
    },
    "SingleMetricAnomalyDetector": {
      "$ref": "#/$defs/SingleMetricAnomalyDetector"
    },
    "MetricMathAnomalyDetector": {
      "$ref": "#/$defs/MetricMathAnomalyDetector"
    }
  },
  "$defs": {
    "Dimension": {
      "type": "object",
      "properties": {
        "Name": {
          "type": "string",
          "description": "The name of the dimension. Dimension names must contain only ASCII characters, must include at least one non-whitespace character, and cannot start with a colon (:). ASCII control characters are not supported as part of dimension names."
        },
        "Value": {
          "type": "string",
          "description": "The value of the dimension. Dimension values must contain only ASCII characters and must include at least one non-whitespace character. ASCII control characters are not supported as part of dimension values."
        }
      },
      "required": [
        "Name",
        "Value"
      ]
    },
    "Metric": {
      "type": "object",
      "properties": {
        "Namespace": {
          "type": "string",
          "description": "The namespace of the metric."
        },
        "MetricName": {
          "type": "string",
          "description": "The name of the metric. This is a required field."
        },
        "Dimensions": {
          "type": "array",
          "items": {
            "$ref": "#/$defs/Dimension"
          },
          "description": "The dimensions for the metric."
        }
      }
    },
    "MetricDataQuery": {
      "type": "object",
      "properties": {
        "Id": {
          "type": "string",
          "description": "A short name used to tie this object to the results in the response. This name must be unique within a single call to GetMetricData. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscore. The first character must be a lowercase letter."
        },
        "MetricStat": {
          "$ref": "#/$defs/MetricStat"
        },
        "Expression": {
          "type": "string",
          "description": "This field can contain either a Metrics Insights query, or a metric math expression to be performed on the returned data. For more information about Metrics Insights queries, see Metrics Insights query components and syntax in the Amazon CloudWatch User Guide. A math expression can use the Id of the other metrics or queries to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions. For more information about metric math expressions, see Metric Math Syntax and Functions in the Amazon CloudWatch User Guide. Within each MetricDataQuery object, "
        },
        "Label": {
          "type": "string",
          "description": "A human-readable label for this metric or expression. This is especially useful if this is an expression, so that you know what the value represents. If the metric or expression is shown in a CloudWatch dashboard widget, the label is shown. If Label is omitted, CloudWatch generates a default. You can put dynamic expressions into a label, so that it is more descriptive. For more information, see Using Dynamic Labels."
        },
        "ReturnData": {
          "type": "boolean",
          "description": "When used in GetMetricData, this option indicates whether to return the timestamps and raw data values of this metric. If you are performing this call just to do math expressions and do not also need the raw data returned, you can specify false. If you omit this, the default of true is used. When used in PutMetricAlarm, specify true for the one expression result to use as the alarm. For all other metrics and expressions in the same PutMetricAlarm operation, specify ReturnData as False."
        },
        "Period": {
          "type": "integer",
          "description": "The granularity, in seconds, of the returned data points. For metrics with regular resolution, a period can be as short as one minute (60 seconds) and must be a multiple of 60. For high-resolution metrics that are collected at intervals of less than one minute, the period can be 1, 5, 10, 20, 30, 60, or any multiple of 60. High-resolution metrics are those metrics stored by a PutMetricData operation that includes a StorageResolution of 1 second."
        },
        "AccountId": {
          "type": "string",
          "description": "The ID of the account where the metrics are located. If you are performing a GetMetricData operation in a monitoring account, use this to specify which account to retrieve this metric from. If you are performing a PutMetricAlarm operation, use this to specify which account contains the metric that the alarm is watching."
        }
      },
      "required": [
        "Id"
      ]
    },
    "MetricMathAnomalyDetector": {
      "type": "object",
      "properties": {
        "MetricDataQueries": {
          "type": "array",
          "items": {
            "$ref": "#/$defs/MetricDataQuery"
          },
          "description": "An array of metric data query structures that enables you to create an anomaly detector based on the result of a metric math expression. Each item in MetricDataQueries gets a metric or performs a math expression. One item in MetricDataQueries is the expression that provides the time series that the anomaly detector uses as input. Designate the expression by setting ReturnData to true for this object in the array. For all other expressions and metrics, set ReturnData to false. The designated expression must return a single time series."
        }
      }
    },
    "MetricStat": {
      "type": "object",
      "properties": {
        "Metric": {
          "$ref": "#/$defs/Metric"
        },
        "Period": {
          "type": "integer",
          "description": "The granularity, in seconds, of the returned data points. For metrics with regular resolution, a period can be as short as one minute (60 seconds) and must be a multiple of 60. For high-resolution metrics that are collected at intervals of less than one minute, the period can be 1, 5, 10, 20, 30, 60, or any multiple of 60. High-resolution metrics are those metrics stored by a PutMetricData call that includes a StorageResolution of 1 second. If the StartTime parameter specifies a time stamp that is greater than 3 hours ago, you must specify the period as follows or no data points in that time r"
        },
        "Stat": {
          "type": "string",
          "description": "The statistic to return. It can include any CloudWatch statistic or extended statistic."
        },
        "Unit": {
          "type": "string",
          "enum": [
            "Seconds",
            "Microseconds",
            "Milliseconds",
            "Bytes",
            "Kilobytes",
            "Megabytes",
            "Gigabytes",
            "Terabytes",
            "Bits",
            "Kilobits",
            "Megabits",
            "Gigabits",
            "Terabits",
            "Percent",
            "Count",
            "Bytes/Second",
            "Kilobytes/Second",
            "Megabytes/Second",
            "Gigabytes/Second",
            "Terabytes/Second",
            "Bits/Second",
            "Kilobits/Second",
            "Megabits/Second",
            "Gigabits/Second",
            "Terabits/Second",
            "Count/Second",
            "None"
          ],
          "description": "When you are using a Put operation, this defines what unit you want to use when storing the metric. In a Get operation, if you omit Unit then all data that was collected with any unit is returned, along with the corresponding units that were specified when the data was reported to CloudWatch. If you specify a unit, the operation returns only data that was collected with that unit specified. If you specify a unit that does not match the data collected, the results of the operation are null. CloudWatch does not perform unit conversions."
        }
      },
      "required": [
        "Metric",
        "Period",
        "Stat"
      ]
    },
    "SingleMetricAnomalyDetector": {
      "type": "object",
      "properties": {
        "AccountId": {
          "type": "string",
          "description": "If the CloudWatch metric that provides the time series that the anomaly detector uses as input is in another account, specify that account ID here. If you omit this parameter, the current account is used."
        },
        "Namespace": {
          "type": "string",
          "description": "The namespace of the metric to create the anomaly detection model for."
        },
        "MetricName": {
          "type": "string",
          "description": "The name of the metric to create the anomaly detection model for."
        },
        "Dimensions": {
          "type": "array",
          "items": {
            "$ref": "#/$defs/Dimension"
          },
          "description": "The metric dimensions to create the anomaly detection model for."
        },
        "Stat": {
          "type": "string",
          "description": "The statistic to use for the metric and anomaly detection model."
        }
      }
    }
  }
}