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_CompareFields
enumReturn 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_CompareFields
enumReturn 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_Filter
inputApply 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_CompareFields
enumReturn 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_Float
inputDefines 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_Float
inputDefines 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_NumFields
enumFirst 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_String
inputDefines 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_Filter
inputApply 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_NumFields
enumFirst 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_Float
inputDefines 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_Float
inputDefines 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_Float
inputDefines 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_Float
inputDefines 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_Float
inputDefines 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_Float
inputDefines 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_Filter
inputApply 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_Float
inputDefines 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_String
inputDefines 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_Float
inputDefines 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_Filter
inputApply 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_Filter
inputApply 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