EVM_BalanceUpdate_Cube
Update of balances for tokens and native currency in EVM Blockchain
type EVM_BalanceUpdate_Cube {
  BalanceUpdate: EVM_BalanceUpdate_Fields_BalanceUpdate
  Block: EVM_BalanceUpdate_Fields_Block
  Call: EVM_BalanceUpdate_Fields_Call
  ChainId(
    if: EVM_BalanceUpdate_Filter
    maximum: EVM_BalanceUpdate_CompareFields
    minimum: EVM_BalanceUpdate_CompareFields
    selectWhere: OLAP_BigInteger
  ): String
  Currency: EVM_BalanceUpdate_Fields_Currency
  Log: EVM_BalanceUpdate_Fields_Log
  Transaction: EVM_BalanceUpdate_Fields_Transaction
  Uncle: EVM_BalanceUpdate_Fields_Uncle
  average(
    selectWhere: Metric_filter_Float
    of: EVM_BalanceUpdate_NumFields!
    if: EVM_BalanceUpdate_Filter
  ): Float
  contingency(
    selectWhere: Metric_filter_Float
    of: EVM_BalanceUpdate_NumFields
    with: EVM_BalanceUpdate_NumFields
    if: EVM_BalanceUpdate_Filter
  ): Float
  correlation(
    with: EVM_BalanceUpdate_NumFields
    if: EVM_BalanceUpdate_Filter
    selectWhere: Metric_filter_Float
    of: EVM_BalanceUpdate_NumFields
  ): Float
  count(
    selectWhere: Metric_filter_String
    distinct: [EVM_BalanceUpdate_EnumFields]
    if: EVM_BalanceUpdate_Filter
  ): String
  covariance(
    selectWhere: Metric_filter_Float
    if: EVM_BalanceUpdate_Filter
    of: EVM_BalanceUpdate_NumFields
    with: EVM_BalanceUpdate_NumFields
  ): Float
  cramers(
    of: EVM_BalanceUpdate_NumFields
    with: EVM_BalanceUpdate_NumFields
    if: EVM_BalanceUpdate_Filter
    selectWhere: Metric_filter_Float
  ): Float
  cramers_bias_corrected(
    of: EVM_BalanceUpdate_NumFields
    with: EVM_BalanceUpdate_NumFields
    if: EVM_BalanceUpdate_Filter
    selectWhere: Metric_filter_Float
  ): Float
  dispersion(
    if: EVM_BalanceUpdate_Filter
    selectWhere: Metric_filter_Float
    of: EVM_BalanceUpdate_NumFields!
  ): Float
  entropy(
    selectWhere: Metric_filter_Float
    of: EVM_BalanceUpdate_NumFields!
    if: EVM_BalanceUpdate_Filter
  ): Float
  gini(
    selectWhere: Metric_filter_Float
    of: EVM_BalanceUpdate_NumFields!
  ): Float
  kurtosis(
    selectWhere: Metric_filter_Float
    of: EVM_BalanceUpdate_NumFields!
    if: EVM_BalanceUpdate_Filter
  ): Float
  median(
    selectWhere: Metric_filter_Float
    of: EVM_BalanceUpdate_NumFields!
    if: EVM_BalanceUpdate_Filter
  ): Float
  nakamoto(
    ratio: Float = 0.51
    selectWhere: Metric_filter_Float
    of: EVM_BalanceUpdate_NumFields!
  ): Float
  quantile(
    selectWhere: Metric_filter_Float
    level: Float = 0.5
    if: EVM_BalanceUpdate_Filter
    method: OLAP_Metric_Calculation_Method_Exact
    of: EVM_BalanceUpdate_NumFields!
  ): Float
  rank_correlation(
    if: EVM_BalanceUpdate_Filter
    selectWhere: Metric_filter_Float
    of: EVM_BalanceUpdate_NumFields
    with: EVM_BalanceUpdate_NumFields
  ): Float
  skew(
    selectWhere: Metric_filter_Float
    of: EVM_BalanceUpdate_NumFields!
    if: EVM_BalanceUpdate_Filter
  ): Float
  standard_deviation(
    if: EVM_BalanceUpdate_Filter
    selectWhere: Metric_filter_Float
    of: EVM_BalanceUpdate_NumFields!
  ): Float
  sum(
    selectWhere: Metric_filter_String
    of: EVM_BalanceUpdate_NumFields!
    if: EVM_BalanceUpdate_Filter
  ): String
  theil_index(
    selectWhere: Metric_filter_Float
    of: EVM_BalanceUpdate_NumFields!
  ): Float
  theils_corrected(
    with: EVM_BalanceUpdate_NumFields
    if: EVM_BalanceUpdate_Filter
    selectWhere: Metric_filter_Float
    of: EVM_BalanceUpdate_NumFields
  ): Float
  uniq(
    selectWhere: Metric_filter_String
    of: [EVM_BalanceUpdate_EnumFields]!
    if: EVM_BalanceUpdate_Filter
    method: OLAP_Metric_Calculation_Method_Exact
  ): String
}
Fields
EVM_BalanceUpdate_Cube.BalanceUpdate ● EVM_BalanceUpdate_Fields_BalanceUpdate object
BalanceUpdate fields
EVM_BalanceUpdate_Cube.Block ● EVM_BalanceUpdate_Fields_Block object
Block fields
EVM_BalanceUpdate_Cube.Call ● EVM_BalanceUpdate_Fields_Call object
Call fields
EVM_BalanceUpdate_Cube.ChainId ● String scalar
ChainId value
EVM_BalanceUpdate_Cube.ChainId.if●EVM_BalanceUpdate_FilterinputApply a condition to a metric calculation
EVM_BalanceUpdate_Cube.ChainId.maximum ● EVM_BalanceUpdate_CompareFields enum
Return value when the argument is maximum
EVM_BalanceUpdate_Cube.ChainId.minimum ● EVM_BalanceUpdate_CompareFields enum
Return value when the argument is minimum
EVM_BalanceUpdate_Cube.ChainId.selectWhere ● OLAP_BigInteger input
Defines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.Currency ● EVM_BalanceUpdate_Fields_Currency object
Currency fields
EVM_BalanceUpdate_Cube.Log ● EVM_BalanceUpdate_Fields_Log object
Log fields
EVM_BalanceUpdate_Cube.Transaction ● EVM_BalanceUpdate_Fields_Transaction object
Transaction fields
EVM_BalanceUpdate_Cube.Uncle ● EVM_BalanceUpdate_Fields_Uncle object
Uncle fields
EVM_BalanceUpdate_Cube.average ● Float scalar
Average of the values
EVM_BalanceUpdate_Cube.average.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.average.of ● EVM_BalanceUpdate_NumFields! non-null enum
Argument for Average of the values
EVM_BalanceUpdate_Cube.average.if ● EVM_BalanceUpdate_Filter input
Apply a condition to a metric calculation
EVM_BalanceUpdate_Cube.contingency ● Float scalar
Contingency coefficient between two arguments
EVM_BalanceUpdate_Cube.contingency.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.contingency.of ● EVM_BalanceUpdate_NumFields enum
First argument for Contingency coefficient between two arguments
EVM_BalanceUpdate_Cube.contingency.with ● EVM_BalanceUpdate_NumFields enum
Second argument for Contingency coefficient between two arguments
EVM_BalanceUpdate_Cube.contingency.if ● EVM_BalanceUpdate_Filter input
Apply a condition to a metric calculation
EVM_BalanceUpdate_Cube.correlation ● Float scalar
Pearson correlation coefficient between two arguments
EVM_BalanceUpdate_Cube.correlation.with●EVM_BalanceUpdate_NumFieldsenumSecond argument for Pearson correlation coefficient between two arguments
EVM_BalanceUpdate_Cube.correlation.if ● EVM_BalanceUpdate_Filter input
Apply a condition to a metric calculation
EVM_BalanceUpdate_Cube.correlation.selectWhere ● Metric_filter_Float input
Defines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.correlation.of ● EVM_BalanceUpdate_NumFields enum
First argument for Pearson correlation coefficient between two arguments
EVM_BalanceUpdate_Cube.count ● String scalar
Count records or uniques of arguments
EVM_BalanceUpdate_Cube.count.selectWhere●Metric_filter_StringinputDefines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.count.distinct ● [EVM_BalanceUpdate_EnumFields] list enum
Count distinct values of the field
EVM_BalanceUpdate_Cube.count.if ● EVM_BalanceUpdate_Filter input
Apply a condition to a metric calculation
EVM_BalanceUpdate_Cube.covariance ● Float scalar
Covariance between two arguments
EVM_BalanceUpdate_Cube.covariance.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.covariance.if ● EVM_BalanceUpdate_Filter input
Apply a condition to a metric calculation
EVM_BalanceUpdate_Cube.covariance.of ● EVM_BalanceUpdate_NumFields enum
First argument for Covariance between two arguments
EVM_BalanceUpdate_Cube.covariance.with ● EVM_BalanceUpdate_NumFields enum
Second argument for Covariance between two arguments
EVM_BalanceUpdate_Cube.cramers ● Float scalar
Cramér's phi coefficient between two arguments
EVM_BalanceUpdate_Cube.cramers.of●EVM_BalanceUpdate_NumFieldsenumFirst argument for Cramér's phi coefficient between two arguments
EVM_BalanceUpdate_Cube.cramers.with ● EVM_BalanceUpdate_NumFields enum
Second argument for Cramér's phi coefficient between two arguments
EVM_BalanceUpdate_Cube.cramers.if ● EVM_BalanceUpdate_Filter input
Apply a condition to a metric calculation
EVM_BalanceUpdate_Cube.cramers.selectWhere ● Metric_filter_Float input
Defines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.cramers_bias_corrected ● Float scalar
Cramér's phi coefficient with bias correction between two arguments
EVM_BalanceUpdate_Cube.cramers_bias_corrected.of●EVM_BalanceUpdate_NumFieldsenumFirst argument for Cramér's phi coefficient with bias correction between two arguments
EVM_BalanceUpdate_Cube.cramers_bias_corrected.with ● EVM_BalanceUpdate_NumFields enum
Second argument for Cramér's phi coefficient with bias correction between two arguments
EVM_BalanceUpdate_Cube.cramers_bias_corrected.if ● EVM_BalanceUpdate_Filter input
Apply a condition to a metric calculation
EVM_BalanceUpdate_Cube.cramers_bias_corrected.selectWhere ● Metric_filter_Float input
Defines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.dispersion ● Float scalar
Dispersion for a set of values
EVM_BalanceUpdate_Cube.dispersion.if●EVM_BalanceUpdate_FilterinputApply a condition to a metric calculation
EVM_BalanceUpdate_Cube.dispersion.selectWhere ● Metric_filter_Float input
Defines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.dispersion.of ● EVM_BalanceUpdate_NumFields! non-null enum
Argument for Dispersion for a set of values
EVM_BalanceUpdate_Cube.entropy ● Float scalar
Entropy for a set of values
EVM_BalanceUpdate_Cube.entropy.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.entropy.of ● EVM_BalanceUpdate_NumFields! non-null enum
Argument for Entropy for a set of values
EVM_BalanceUpdate_Cube.entropy.if ● EVM_BalanceUpdate_Filter input
Apply a condition to a metric calculation
EVM_BalanceUpdate_Cube.gini ● Float scalar
Gini factor of argument
EVM_BalanceUpdate_Cube.gini.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.gini.of ● EVM_BalanceUpdate_NumFields! non-null enum
Argument for gini
EVM_BalanceUpdate_Cube.kurtosis ● Float scalar
Kurtosis for a set of values
EVM_BalanceUpdate_Cube.kurtosis.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.kurtosis.of ● EVM_BalanceUpdate_NumFields! non-null enum
Argument for Kurtosis for a set of values
EVM_BalanceUpdate_Cube.kurtosis.if ● EVM_BalanceUpdate_Filter input
Apply a condition to a metric calculation
EVM_BalanceUpdate_Cube.median ● Float scalar
Median for a set of values
EVM_BalanceUpdate_Cube.median.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.median.of ● EVM_BalanceUpdate_NumFields! non-null enum
Argument for Median for a set of values
EVM_BalanceUpdate_Cube.median.if ● EVM_BalanceUpdate_Filter input
Apply a condition to a metric calculation
EVM_BalanceUpdate_Cube.nakamoto ● Float scalar
Nakamoto index of argument. Count of values more than 0.51 of the range. Ratio (0.51) can be specified as optional parameter
EVM_BalanceUpdate_Cube.nakamoto.ratio●FloatscalarRatio for nakamoto index ( default is 0.51, can be from 0 to 1 )
EVM_BalanceUpdate_Cube.nakamoto.selectWhere ● Metric_filter_Float input
Defines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.nakamoto.of ● EVM_BalanceUpdate_NumFields! non-null enum
Argument for nakamoto index
EVM_BalanceUpdate_Cube.quantile ● Float scalar
Approximate quantile of a numeric data sequence
EVM_BalanceUpdate_Cube.quantile.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.quantile.level ● Float scalar
Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a level value in the range of [0.01, 0.99]. Default value: 0.5. At level=0.5 the function calculates median.
EVM_BalanceUpdate_Cube.quantile.if ● EVM_BalanceUpdate_Filter input
Apply a condition to a metric calculation
EVM_BalanceUpdate_Cube.quantile.method ● OLAP_Metric_Calculation_Method_Exact enum
Method used to calculate metric values
EVM_BalanceUpdate_Cube.quantile.of ● EVM_BalanceUpdate_NumFields! non-null enum
Argument for quantile
EVM_BalanceUpdate_Cube.rank_correlation ● Float scalar
Rank correlation coefficient between two arguments
EVM_BalanceUpdate_Cube.rank_correlation.if●EVM_BalanceUpdate_FilterinputApply a condition to a metric calculation
EVM_BalanceUpdate_Cube.rank_correlation.selectWhere ● Metric_filter_Float input
Defines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.rank_correlation.of ● EVM_BalanceUpdate_NumFields enum
First argument for Rank correlation coefficient between two arguments
EVM_BalanceUpdate_Cube.rank_correlation.with ● EVM_BalanceUpdate_NumFields enum
Second argument for Rank correlation coefficient between two arguments
EVM_BalanceUpdate_Cube.skew ● Float scalar
Skew for a set of values
EVM_BalanceUpdate_Cube.skew.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.skew.of ● EVM_BalanceUpdate_NumFields! non-null enum
Argument for Skew for a set of values
EVM_BalanceUpdate_Cube.skew.if ● EVM_BalanceUpdate_Filter input
Apply a condition to a metric calculation
EVM_BalanceUpdate_Cube.standard_deviation ● Float scalar
Standard deviation of the values
EVM_BalanceUpdate_Cube.standard_deviation.if●EVM_BalanceUpdate_FilterinputApply a condition to a metric calculation
EVM_BalanceUpdate_Cube.standard_deviation.selectWhere ● Metric_filter_Float input
Defines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.standard_deviation.of ● EVM_BalanceUpdate_NumFields! non-null enum
Argument for Standard deviation of the values
EVM_BalanceUpdate_Cube.sum ● String scalar
Sum values of argument
EVM_BalanceUpdate_Cube.sum.selectWhere●Metric_filter_StringinputDefines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.sum.of ● EVM_BalanceUpdate_NumFields! non-null enum
Argument for sum
EVM_BalanceUpdate_Cube.sum.if ● EVM_BalanceUpdate_Filter input
Apply a condition to a metric calculation
EVM_BalanceUpdate_Cube.theil_index ● Float scalar
Theil index of argument
EVM_BalanceUpdate_Cube.theil_index.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.theil_index.of ● EVM_BalanceUpdate_NumFields! non-null enum
Argument for Theil index
EVM_BalanceUpdate_Cube.theils_corrected ● Float scalar
Theil's U uncertainty coefficient, coefficient with bias correction between two arguments
EVM_BalanceUpdate_Cube.theils_corrected.with●EVM_BalanceUpdate_NumFieldsenumSecond argument for Theil's U uncertainty coefficient, coefficient with bias correction between two arguments
EVM_BalanceUpdate_Cube.theils_corrected.if ● EVM_BalanceUpdate_Filter input
Apply a condition to a metric calculation
EVM_BalanceUpdate_Cube.theils_corrected.selectWhere ● Metric_filter_Float input
Defines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.theils_corrected.of ● EVM_BalanceUpdate_NumFields enum
First argument for Theil's U uncertainty coefficient, coefficient with bias correction between two arguments
EVM_BalanceUpdate_Cube.uniq ● String scalar
Count unique records
EVM_BalanceUpdate_Cube.uniq.selectWhere●Metric_filter_StringinputDefines the condition to filter the results by the value of this metric
EVM_BalanceUpdate_Cube.uniq.of ● [EVM_BalanceUpdate_EnumFields]! non-null enum
Uniq values of the field
EVM_BalanceUpdate_Cube.uniq.if ● EVM_BalanceUpdate_Filter input
Apply a condition to a metric calculation
EVM_BalanceUpdate_Cube.uniq.method ● OLAP_Metric_Calculation_Method_Exact enum
Method used to calculate metric values
Member Of
EVM_Subscription  object ● EVM  object