{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://artifacts.apis.io/amazon-billing-and-cost-management/json-schema/amazon-billing-and-cost-management-get-usage-forecast-request-schema.json",
  "title": "GetUsageForecastRequest",
  "x-generated": "2026-11-11",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/amazon-billing-and-cost-management-forecasting-api-openapi.yml#/components/schemas/GetUsageForecastRequest",
  "type": "object",
  "properties": {
    "TimePeriod": {
      "$ref": "#/$defs/DateInterval"
    },
    "Metric": {
      "type": "string",
      "enum": [
        "BLENDED_COST",
        "UNBLENDED_COST",
        "AMORTIZED_COST",
        "NET_UNBLENDED_COST",
        "NET_AMORTIZED_COST",
        "USAGE_QUANTITY",
        "NORMALIZED_USAGE_AMOUNT"
      ],
      "description": "Which metric Cost Explorer uses to create your forecast. Valid values for a GetUsageForecast call are the following: USAGE_QUANTITY NORMALIZED_USAGE_AMOUNT"
    },
    "Granularity": {
      "type": "string",
      "enum": [
        "DAILY",
        "MONTHLY",
        "HOURLY"
      ],
      "description": "How granular you want the forecast to be. You can get 3 months of DAILY forecasts or 18 months of MONTHLY forecasts. The GetUsageForecast operation supports only DAILY and MONTHLY granularities."
    },
    "Filter": {
      "$ref": "#/$defs/Expression"
    },
    "BillingViewArn": {
      "type": "string",
      "description": "The Amazon Resource Name (ARN) that uniquely identifies a specific billing view. The ARN is used to specify which particular billing view you want to interact with or retrieve information from when making API calls related to Amazon Web Services Billing and Cost Management features. The BillingViewArn can be retrieved by calling the ListBillingViews API."
    },
    "PredictionIntervalLevel": {
      "type": "integer",
      "description": "Amazon Web Services Cost Explorer always returns the mean forecast as a single point. You can request a prediction interval around the mean by specifying a confidence level. The higher the confidence level, the more confident Cost Explorer is about the actual value falling in the prediction interval. Higher confidence levels result in wider prediction intervals."
    }
  },
  "required": [
    "TimePeriod",
    "Metric",
    "Granularity"
  ],
  "$defs": {
    "CostCategoryValues": {
      "type": "object",
      "properties": {
        "Key": {
          "type": "string"
        },
        "Values": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "The specific value of the cost category."
        },
        "MatchOptions": {
          "type": "array",
          "items": {
            "type": "string",
            "enum": [
              "EQUALS",
              "ABSENT",
              "STARTS_WITH",
              "ENDS_WITH",
              "CONTAINS",
              "CASE_SENSITIVE",
              "CASE_INSENSITIVE",
              "GREATER_THAN_OR_EQUAL"
            ]
          },
          "description": "The match options that you can use to filter your results. MatchOptions is only applicable for actions related to cost category. The default values for MatchOptions is EQUALS and CASE_SENSITIVE."
        }
      }
    },
    "DateInterval": {
      "type": "object",
      "properties": {
        "Start": {
          "type": "string",
          "description": "The beginning of the time period. The start date is inclusive. For example, if start is 2017-01-01, Amazon Web Services retrieves cost and usage data starting at 2017-01-01 up to the end date. The start date must be equal to or no later than the current date to avoid a validation error."
        },
        "End": {
          "type": "string",
          "description": "The end of the time period. The end date is exclusive. For example, if end is 2017-05-01, Amazon Web Services retrieves cost and usage data from the start date up to, but not including, 2017-05-01."
        }
      },
      "required": [
        "Start",
        "End"
      ]
    },
    "DimensionValues": {
      "type": "object",
      "properties": {
        "Key": {
          "type": "string",
          "enum": [
            "AZ",
            "INSTANCE_TYPE",
            "LINKED_ACCOUNT",
            "PAYER_ACCOUNT",
            "LINKED_ACCOUNT_NAME",
            "OPERATION",
            "PURCHASE_TYPE",
            "REGION",
            "SERVICE",
            "SERVICE_CODE",
            "USAGE_TYPE",
            "USAGE_TYPE_GROUP",
            "RECORD_TYPE",
            "OPERATING_SYSTEM",
            "TENANCY",
            "SCOPE",
            "PLATFORM",
            "SUBSCRIPTION_ID",
            "LEGAL_ENTITY_NAME",
            "DEPLOYMENT_OPTION",
            "DATABASE_ENGINE",
            "CACHE_ENGINE",
            "INSTANCE_TYPE_FAMILY",
            "BILLING_ENTITY",
            "RESERVATION_ID",
            "RESOURCE_ID",
            "RIGHTSIZING_TYPE",
            "SAVINGS_PLANS_TYPE",
            "SAVINGS_PLAN_ARN",
            "PAYMENT_OPTION",
            "AGREEMENT_END_DATE_TIME_AFTER",
            "AGREEMENT_END_DATE_TIME_BEFORE",
            "INVOICING_ENTITY",
            "ANOMALY_TOTAL_IMPACT_ABSOLUTE",
            "ANOMALY_TOTAL_IMPACT_PERCENTAGE",
            "PRODUCT_ATTRIBUTE"
          ],
          "description": "The names of the metadata types that you can use to filter and group your results. For example, AZ returns a list of Availability Zones. Not all dimensions are supported in each API. Refer to the documentation for each specific API to see what is supported. LINKED_ACCOUNT_NAME and SERVICE_CODE can only be used in CostCategoryRule. ANOMALY_TOTAL_IMPACT_ABSOLUTE and ANOMALY_TOTAL_IMPACT_PERCENTAGE can only be used in AnomalySubscriptions. Use PRODUCT_ATTRIBUTE only as the Dimension in GetDimensionValues. To filter or group by product attributes, use the ProductAttributes field of Expression or t"
        },
        "Values": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "The metadata values that you can use to filter and group your results. You can use GetDimensionValues to find specific values."
        },
        "MatchOptions": {
          "type": "array",
          "items": {
            "type": "string",
            "enum": [
              "EQUALS",
              "ABSENT",
              "STARTS_WITH",
              "ENDS_WITH",
              "CONTAINS",
              "CASE_SENSITIVE",
              "CASE_INSENSITIVE",
              "GREATER_THAN_OR_EQUAL"
            ]
          },
          "description": "The match options that you can use to filter your results. MatchOptions is only applicable for actions related to cost category and Anomaly Subscriptions. Refer to the documentation for each specific API to see what is supported. The default values for MatchOptions are EQUALS and CASE_SENSITIVE."
        }
      }
    },
    "Expression": {
      "type": "object",
      "properties": {
        "Or": {
          "type": "array",
          "items": {
            "$ref": "#/$defs/Expression"
          },
          "description": "Return results that match either Dimension object."
        },
        "And": {
          "type": "array",
          "items": {
            "$ref": "#/$defs/Expression"
          },
          "description": "Return results that match both Dimension objects."
        },
        "Not": {
          "$ref": "#/$defs/Expression"
        },
        "Dimensions": {
          "$ref": "#/$defs/DimensionValues"
        },
        "Tags": {
          "$ref": "#/$defs/TagValues"
        },
        "CostCategories": {
          "$ref": "#/$defs/CostCategoryValues"
        },
        "ProductAttributes": {
          "$ref": "#/$defs/ProductAttributeValues"
        }
      }
    },
    "ProductAttributeValues": {
      "type": "object",
      "properties": {
        "Key": {
          "type": "string",
          "description": "The name of the product attribute, such as model. The keys that are available depend on the service. For the keys of each supported service, see ProductAttributeValues . Keys are case-sensitive. A key that doesn't exist doesn't return an error: EQUALS matches no costs, and ABSENT matches all costs of supported services."
        },
        "Values": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "The specific values of the product attribute, such as Claude Sonnet 5 for the model key. Values are matched exactly, including case. To list the values of a key, use GetDimensionValues with Dimension set to PRODUCT_ATTRIBUTE and DimensionKey set to the key. To match costs that have no value for the key, set MatchOptions to ABSENT and omit Values. Otherwise, Values is required."
        },
        "MatchOptions": {
          "type": "array",
          "items": {
            "type": "string",
            "enum": [
              "EQUALS",
              "ABSENT",
              "STARTS_WITH",
              "ENDS_WITH",
              "CONTAINS",
              "CASE_SENSITIVE",
              "CASE_INSENSITIVE",
              "GREATER_THAN_OR_EQUAL"
            ]
          },
          "description": "The match options that you can use to filter your results. Valid values: EQUALS - Matches the values that you specify. ABSENT - Matches costs that have no value for the key. Omit Values. CASE_SENSITIVE - Use only with EQUALS. Values are always matched case-sensitively. Default values are EQUALS and CASE_SENSITIVE."
        }
      },
      "required": [
        "Key"
      ]
    },
    "TagValues": {
      "type": "object",
      "properties": {
        "Key": {
          "type": "string",
          "description": "The key for the tag."
        },
        "Values": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "The specific value of the tag."
        },
        "MatchOptions": {
          "type": "array",
          "items": {
            "type": "string",
            "enum": [
              "EQUALS",
              "ABSENT",
              "STARTS_WITH",
              "ENDS_WITH",
              "CONTAINS",
              "CASE_SENSITIVE",
              "CASE_INSENSITIVE",
              "GREATER_THAN_OR_EQUAL"
            ]
          },
          "description": "The match options that you can use to filter your results. MatchOptions is only applicable for actions related to cost category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE."
        }
      }
    }
  }
}