EVM_Call_Cube
Smart contract calls in EVM Blockchain
type EVM_Call_Cube {
Arguments(
minimum: EVM_Call_CompareFields
selectWhere: EVM_Call_Fields_Arguments_Select_Arguments
if: EVM_Call_Filter
maximum: EVM_Call_CompareFields
): [EVM_Call_Fields_Arguments]
Block: EVM_Call_Fields_Block
Call: EVM_Call_Fields_Call
ChainId(
maximum: EVM_Call_CompareFields
minimum: EVM_Call_CompareFields
selectWhere: OLAP_BigInteger
if: EVM_Call_Filter
): String
Fee: EVM_Call_Fields_Fee
Receipt: EVM_Call_Fields_Receipt
Returns(
if: EVM_Call_Filter
maximum: EVM_Call_CompareFields
minimum: EVM_Call_CompareFields
selectWhere: EVM_Call_Fields_Returns_Select_Returns
): [EVM_Call_Fields_Returns]
StateChanges(
minimum: EVM_Call_CompareFields
selectWhere: EVM_Call_Fields_StateChanges_Select_StateChanges
if: EVM_Call_Filter
maximum: EVM_Call_CompareFields
): [EVM_Call_Fields_StateChanges]
Transaction: EVM_Call_Fields_Transaction
TransactionStatus: EVM_Call_Fields_TransactionStatus
average(
selectWhere: Metric_filter_Float
of: EVM_Call_NumFields!
if: EVM_Call_Filter
): Float
contingency(
selectWhere: Metric_filter_Float
of: EVM_Call_NumFields
with: EVM_Call_NumFields
if: EVM_Call_Filter
): Float
correlation(
of: EVM_Call_NumFields
with: EVM_Call_NumFields
if: EVM_Call_Filter
selectWhere: Metric_filter_Float
): Float
count(
selectWhere: Metric_filter_String
distinct: [EVM_Call_EnumFields]
if: EVM_Call_Filter
): String
covariance(
if: EVM_Call_Filter
selectWhere: Metric_filter_Float
of: EVM_Call_NumFields
with: EVM_Call_NumFields
): Float
cramers(
of: EVM_Call_NumFields
with: EVM_Call_NumFields
if: EVM_Call_Filter
selectWhere: Metric_filter_Float
): Float
cramers_bias_corrected(
selectWhere: Metric_filter_Float
of: EVM_Call_NumFields
with: EVM_Call_NumFields
if: EVM_Call_Filter
): Float
dispersion(
selectWhere: Metric_filter_Float
if: EVM_Call_Filter
of: EVM_Call_NumFields!
): Float
entropy(
of: EVM_Call_NumFields!
if: EVM_Call_Filter
selectWhere: Metric_filter_Float
): Float
gini(
selectWhere: Metric_filter_Float
of: EVM_Call_NumFields!
): Float
kurtosis(
of: EVM_Call_NumFields!
if: EVM_Call_Filter
selectWhere: Metric_filter_Float
): Float
median(
selectWhere: Metric_filter_Float
of: EVM_Call_NumFields!
if: EVM_Call_Filter
): Float
nakamoto(
selectWhere: Metric_filter_Float
of: EVM_Call_NumFields!
ratio: Float = 0.51
): Float
quantile(
selectWhere: Metric_filter_Float
of: EVM_Call_NumFields!
level: Float = 0.5
if: EVM_Call_Filter
method: OLAP_Metric_Calculation_Method_Exact
): Float
rank_correlation(
if: EVM_Call_Filter
selectWhere: Metric_filter_Float
of: EVM_Call_NumFields
with: EVM_Call_NumFields
): Float
skew(
selectWhere: Metric_filter_Float
of: EVM_Call_NumFields!
if: EVM_Call_Filter
): Float
standard_deviation(
of: EVM_Call_NumFields!
if: EVM_Call_Filter
selectWhere: Metric_filter_Float
): Float
sum(
selectWhere: Metric_filter_String
of: EVM_Call_NumFields!
if: EVM_Call_Filter
): String
theil_index(
selectWhere: Metric_filter_Float
of: EVM_Call_NumFields!
): Float
theils_corrected(
if: EVM_Call_Filter
selectWhere: Metric_filter_Float
of: EVM_Call_NumFields
with: EVM_Call_NumFields
): Float
uniq(
if: EVM_Call_Filter
method: OLAP_Metric_Calculation_Method_Exact
of: [EVM_Call_EnumFields]!
selectWhere: Metric_filter_String
): String
}
Fields
EVM_Call_Cube.Arguments ● [EVM_Call_Fields_Arguments] list object
Arguments value
EVM_Call_Cube.Arguments.minimum●EVM_Call_CompareFieldsenumReturn value when the argument is minimum
EVM_Call_Cube.Arguments.selectWhere ● EVM_Call_Fields_Arguments_Select_Arguments input
Defines the condition to filter the results by the value of this metric
EVM_Call_Cube.Arguments.if ● EVM_Call_Filter input
Apply a condition to a metric calculation
EVM_Call_Cube.Arguments.maximum ● EVM_Call_CompareFields enum
Return value when the argument is maximum
EVM_Call_Cube.Block ● EVM_Call_Fields_Block object
Block fields
EVM_Call_Cube.Call ● EVM_Call_Fields_Call object
Call fields
EVM_Call_Cube.ChainId ● String scalar
ChainId value
EVM_Call_Cube.ChainId.maximum●EVM_Call_CompareFieldsenumReturn value when the argument is maximum
EVM_Call_Cube.ChainId.minimum ● EVM_Call_CompareFields enum
Return value when the argument is minimum
EVM_Call_Cube.ChainId.selectWhere ● OLAP_BigInteger input
Defines the condition to filter the results by the value of this metric
EVM_Call_Cube.ChainId.if ● EVM_Call_Filter input
Apply a condition to a metric calculation
EVM_Call_Cube.Fee ● EVM_Call_Fields_Fee object
Fee fields
EVM_Call_Cube.Receipt ● EVM_Call_Fields_Receipt object
Receipt fields
EVM_Call_Cube.Returns ● [EVM_Call_Fields_Returns] list object
Returns value
EVM_Call_Cube.Returns.if●EVM_Call_FilterinputApply a condition to a metric calculation
EVM_Call_Cube.Returns.maximum ● EVM_Call_CompareFields enum
Return value when the argument is maximum
EVM_Call_Cube.Returns.minimum ● EVM_Call_CompareFields enum
Return value when the argument is minimum
EVM_Call_Cube.Returns.selectWhere ● EVM_Call_Fields_Returns_Select_Returns input
Defines the condition to filter the results by the value of this metric
EVM_Call_Cube.StateChanges ● [EVM_Call_Fields_StateChanges] list object
StateChanges value
EVM_Call_Cube.StateChanges.minimum●EVM_Call_CompareFieldsenumReturn value when the argument is minimum
EVM_Call_Cube.StateChanges.selectWhere ● EVM_Call_Fields_StateChanges_Select_StateChanges input
Defines the condition to filter the results by the value of this metric
EVM_Call_Cube.StateChanges.if ● EVM_Call_Filter input
Apply a condition to a metric calculation
EVM_Call_Cube.StateChanges.maximum ● EVM_Call_CompareFields enum
Return value when the argument is maximum
EVM_Call_Cube.Transaction ● EVM_Call_Fields_Transaction object
Transaction fields
EVM_Call_Cube.TransactionStatus ● EVM_Call_Fields_TransactionStatus object
TransactionStatus fields
EVM_Call_Cube.average ● Float scalar
Average of the values
EVM_Call_Cube.average.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_Call_Cube.average.of ● EVM_Call_NumFields! non-null enum
Argument for Average of the values
EVM_Call_Cube.average.if ● EVM_Call_Filter input
Apply a condition to a metric calculation
EVM_Call_Cube.contingency ● Float scalar
Contingency coefficient between two arguments
EVM_Call_Cube.contingency.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_Call_Cube.contingency.of ● EVM_Call_NumFields enum
First argument for Contingency coefficient between two arguments
EVM_Call_Cube.contingency.with ● EVM_Call_NumFields enum
Second argument for Contingency coefficient between two arguments
EVM_Call_Cube.contingency.if ● EVM_Call_Filter input
Apply a condition to a metric calculation
EVM_Call_Cube.correlation ● Float scalar
Pearson correlation coefficient between two arguments
EVM_Call_Cube.correlation.of●EVM_Call_NumFieldsenumFirst argument for Pearson correlation coefficient between two arguments
EVM_Call_Cube.correlation.with ● EVM_Call_NumFields enum
Second argument for Pearson correlation coefficient between two arguments
EVM_Call_Cube.correlation.if ● EVM_Call_Filter input
Apply a condition to a metric calculation
EVM_Call_Cube.correlation.selectWhere ● Metric_filter_Float input
Defines the condition to filter the results by the value of this metric
EVM_Call_Cube.count ● String scalar
Count records or uniques of arguments
EVM_Call_Cube.count.selectWhere●Metric_filter_StringinputDefines the condition to filter the results by the value of this metric
EVM_Call_Cube.count.distinct ● [EVM_Call_EnumFields] list enum
Count distinct values of the field
EVM_Call_Cube.count.if ● EVM_Call_Filter input
Apply a condition to a metric calculation
EVM_Call_Cube.covariance ● Float scalar
Covariance between two arguments
EVM_Call_Cube.covariance.if●EVM_Call_FilterinputApply a condition to a metric calculation
EVM_Call_Cube.covariance.selectWhere ● Metric_filter_Float input
Defines the condition to filter the results by the value of this metric
EVM_Call_Cube.covariance.of ● EVM_Call_NumFields enum
First argument for Covariance between two arguments
EVM_Call_Cube.covariance.with ● EVM_Call_NumFields enum
Second argument for Covariance between two arguments
EVM_Call_Cube.cramers ● Float scalar
Cramér's phi coefficient between two arguments
EVM_Call_Cube.cramers.of●EVM_Call_NumFieldsenumFirst argument for Cramér's phi coefficient between two arguments
EVM_Call_Cube.cramers.with ● EVM_Call_NumFields enum
Second argument for Cramér's phi coefficient between two arguments
EVM_Call_Cube.cramers.if ● EVM_Call_Filter input
Apply a condition to a metric calculation
EVM_Call_Cube.cramers.selectWhere ● Metric_filter_Float input
Defines the condition to filter the results by the value of this metric
EVM_Call_Cube.cramers_bias_corrected ● Float scalar
Cramér's phi coefficient with bias correction between two arguments
EVM_Call_Cube.cramers_bias_corrected.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_Call_Cube.cramers_bias_corrected.of ● EVM_Call_NumFields enum
First argument for Cramér's phi coefficient with bias correction between two arguments
EVM_Call_Cube.cramers_bias_corrected.with ● EVM_Call_NumFields enum
Second argument for Cramér's phi coefficient with bias correction between two arguments
EVM_Call_Cube.cramers_bias_corrected.if ● EVM_Call_Filter input
Apply a condition to a metric calculation
EVM_Call_Cube.dispersion ● Float scalar
Dispersion for a set of values
EVM_Call_Cube.dispersion.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_Call_Cube.dispersion.if ● EVM_Call_Filter input
Apply a condition to a metric calculation
EVM_Call_Cube.dispersion.of ● EVM_Call_NumFields! non-null enum
Argument for Dispersion for a set of values
EVM_Call_Cube.entropy ● Float scalar
Entropy for a set of values
EVM_Call_Cube.entropy.of●EVM_Call_NumFields!non-null enumArgument for Entropy for a set of values
EVM_Call_Cube.entropy.if ● EVM_Call_Filter input
Apply a condition to a metric calculation
EVM_Call_Cube.entropy.selectWhere ● Metric_filter_Float input
Defines the condition to filter the results by the value of this metric
EVM_Call_Cube.gini ● Float scalar
Gini factor of argument
EVM_Call_Cube.gini.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_Call_Cube.gini.of ● EVM_Call_NumFields! non-null enum
Argument for gini
EVM_Call_Cube.kurtosis ● Float scalar
Kurtosis for a set of values
EVM_Call_Cube.kurtosis.of●EVM_Call_NumFields!non-null enumArgument for Kurtosis for a set of values
EVM_Call_Cube.kurtosis.if ● EVM_Call_Filter input
Apply a condition to a metric calculation
EVM_Call_Cube.kurtosis.selectWhere ● Metric_filter_Float input
Defines the condition to filter the results by the value of this metric
EVM_Call_Cube.median ● Float scalar
Median for a set of values
EVM_Call_Cube.median.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_Call_Cube.median.of ● EVM_Call_NumFields! non-null enum
Argument for Median for a set of values
EVM_Call_Cube.median.if ● EVM_Call_Filter input
Apply a condition to a metric calculation
EVM_Call_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_Call_Cube.nakamoto.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_Call_Cube.nakamoto.of ● EVM_Call_NumFields! non-null enum
Argument for nakamoto index
EVM_Call_Cube.nakamoto.ratio ● Float scalar
Ratio for nakamoto index ( default is 0.51, can be from 0 to 1 )
EVM_Call_Cube.quantile ● Float scalar
Approximate quantile of a numeric data sequence
EVM_Call_Cube.quantile.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_Call_Cube.quantile.of ● EVM_Call_NumFields! non-null enum
Argument for quantile
EVM_Call_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_Call_Cube.quantile.if ● EVM_Call_Filter input
Apply a condition to a metric calculation
EVM_Call_Cube.quantile.method ● OLAP_Metric_Calculation_Method_Exact enum
Method used to calculate metric values
EVM_Call_Cube.rank_correlation ● Float scalar
Rank correlation coefficient between two arguments
EVM_Call_Cube.rank_correlation.if●EVM_Call_FilterinputApply a condition to a metric calculation
EVM_Call_Cube.rank_correlation.selectWhere ● Metric_filter_Float input
Defines the condition to filter the results by the value of this metric
EVM_Call_Cube.rank_correlation.of ● EVM_Call_NumFields enum
First argument for Rank correlation coefficient between two arguments
EVM_Call_Cube.rank_correlation.with ● EVM_Call_NumFields enum
Second argument for Rank correlation coefficient between two arguments
EVM_Call_Cube.skew ● Float scalar
Skew for a set of values
EVM_Call_Cube.skew.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_Call_Cube.skew.of ● EVM_Call_NumFields! non-null enum
Argument for Skew for a set of values
EVM_Call_Cube.skew.if ● EVM_Call_Filter input
Apply a condition to a metric calculation
EVM_Call_Cube.standard_deviation ● Float scalar
Standard deviation of the values
EVM_Call_Cube.standard_deviation.of●EVM_Call_NumFields!non-null enumArgument for Standard deviation of the values
EVM_Call_Cube.standard_deviation.if ● EVM_Call_Filter input
Apply a condition to a metric calculation
EVM_Call_Cube.standard_deviation.selectWhere ● Metric_filter_Float input
Defines the condition to filter the results by the value of this metric
EVM_Call_Cube.sum ● String scalar
Sum values of argument
EVM_Call_Cube.sum.selectWhere●Metric_filter_StringinputDefines the condition to filter the results by the value of this metric
EVM_Call_Cube.sum.of ● EVM_Call_NumFields! non-null enum
Argument for sum
EVM_Call_Cube.sum.if ● EVM_Call_Filter input
Apply a condition to a metric calculation
EVM_Call_Cube.theil_index ● Float scalar
Theil index of argument
EVM_Call_Cube.theil_index.selectWhere●Metric_filter_FloatinputDefines the condition to filter the results by the value of this metric
EVM_Call_Cube.theil_index.of ● EVM_Call_NumFields! non-null enum
Argument for Theil index
EVM_Call_Cube.theils_corrected ● Float scalar
Theil's U uncertainty coefficient, coefficient with bias correction between two arguments
EVM_Call_Cube.theils_corrected.if●EVM_Call_FilterinputApply a condition to a metric calculation
EVM_Call_Cube.theils_corrected.selectWhere ● Metric_filter_Float input
Defines the condition to filter the results by the value of this metric
EVM_Call_Cube.theils_corrected.of ● EVM_Call_NumFields enum
First argument for Theil's U uncertainty coefficient, coefficient with bias correction between two arguments
EVM_Call_Cube.theils_corrected.with ● EVM_Call_NumFields enum
Second argument for Theil's U uncertainty coefficient, coefficient with bias correction between two arguments
EVM_Call_Cube.uniq ● String scalar
Count unique records
EVM_Call_Cube.uniq.if●EVM_Call_FilterinputApply a condition to a metric calculation
EVM_Call_Cube.uniq.method ● OLAP_Metric_Calculation_Method_Exact enum
Method used to calculate metric values
EVM_Call_Cube.uniq.of ● [EVM_Call_EnumFields]! non-null enum
Uniq values of the field
EVM_Call_Cube.uniq.selectWhere ● Metric_filter_String input
Defines the condition to filter the results by the value of this metric
Member Of
EVM_Subscription object ● EVM object