API Reference

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import ""

type GetCostForecastInput struct { Filter *Expression `type:"structure"` Granularity *string `type:"string" required:"true" enum:"Granularity"` Metric *string `type:"string" required:"true" enum:"Metric"` PredictionIntervalLevel *int64 `min:"51" type:"integer"` TimePeriod *DateInterval `type:"structure" required:"true"` }


Use Expression to filter by cost or by usage. There are two patterns:

  • Simple dimension values - You can set the dimension name and values for the filters that you plan to use. For example, you can filter for INSTANCE_TYPE==m4.xlarge OR INSTANCE_TYPE==c4.large. The Expression for that looks like this:

{ "Dimensions": { "Key": "INSTANCE_TYPE", "Values": [ "m4.xlarge", “c4.large”

] } }

The list of dimension values are OR'd together to retrieve cost or usage

data. You can create Expression and DimensionValues objects using either with* methods or set* methods in multiple lines.
  • Compound dimension values with logical operations - You can use multiple Expression types and the logical operators AND/OR/NOT to create a list of one or more Expression objects. This allows you to filter on more advanced options. For example, you can filter on ((INSTANCE_TYPE == m4.large OR INSTANCE_TYPE == m3.large) OR (TAG.Type == Type1)) AND (USAGE_TYPE != DataTransfer). The Expression for that looks like this:

{ "And": [ {"Or": [ {"Dimensions": { "Key": "INSTANCE_TYPE", "Values": [

"m4.x.large", "c4.large" ] }}, {"Tags": { "Key": "TagName", "Values": ["Value1"] } } ]}, {"Not": {"Dimensions": { "Key": "USAGE_TYPE", "Values": ["DataTransfer"] }}} ] }

Because each Expression can have only one operator, the service returns an

error if more than one is specified. The following example shows an Expression object that creates an error.

{ "And": [ ... ], "DimensionValues": { "Dimension": "USAGE_TYPE", "Values":

[ "DataTransfer" ] } }

Type: *string

How granular you want the forecast to be. You can get 3 months of DAILY forecasts or 12 months of MONTHLY forecasts.

The GetCostForecast operation supports only DAILY and MONTHLY granularities.

Granularity is a required field


Type: *string

Which metric Cost Explorer uses to create your forecast. For more information about blended and unblended rates, see Why does the "blended" annotation appear on some line items in my bill? (

Valid values for a GetCostForecast call are the following:

  • AmortizedCost

  • BlendedCost

  • NetAmortizedCost

  • NetUnblendedCost

  • UnblendedCost

Metric is a required field


Type: *int64

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.


The time period that you want the usage and costs for.



func (s GetCostForecastInput) GoString() string

GoString returns the string representation


func (s *GetCostForecastInput) SetFilter(v *Expression) *GetCostForecastInput

SetFilter sets the Filter field's value.


func (s *GetCostForecastInput) SetGranularity(v string) *GetCostForecastInput

SetGranularity sets the Granularity field's value.


func (s *GetCostForecastInput) SetMetric(v string) *GetCostForecastInput

SetMetric sets the Metric field's value.


func (s *GetCostForecastInput) SetPredictionIntervalLevel(v int64) *GetCostForecastInput

SetPredictionIntervalLevel sets the PredictionIntervalLevel field's value.


func (s *GetCostForecastInput) SetTimePeriod(v *DateInterval) *GetCostForecastInput

SetTimePeriod sets the TimePeriod field's value.


func (s GetCostForecastInput) String() string

String returns the string representation


func (s *GetCostForecastInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

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