package Paws::FraudDetector::GetDetectors; use Moose; has DetectorId => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'detectorId' ); has MaxResults => (is => 'ro', isa => 'Int', traits => ['NameInRequest'], request_name => 'maxResults' ); has NextToken => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'nextToken' ); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'GetDetectors'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::FraudDetector::GetDetectorsResult'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::FraudDetector::GetDetectors - Arguments for method GetDetectors on L =head1 DESCRIPTION This class represents the parameters used for calling the method GetDetectors on the L service. Use the attributes of this class as arguments to method GetDetectors. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to GetDetectors. =head1 SYNOPSIS my $frauddetector = Paws->service('FraudDetector'); my $GetDetectorsResult = $frauddetector->GetDetectors( DetectorId => 'Myidentifier', # OPTIONAL MaxResults => 1, # OPTIONAL NextToken => 'Mystring', # OPTIONAL ); # Results: my $Detectors = $GetDetectorsResult->Detectors; my $NextToken = $GetDetectorsResult->NextToken; # Returns a L object. Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see L =head1 ATTRIBUTES =head2 DetectorId => Str The detector ID. =head2 MaxResults => Int The maximum number of objects to return for the request. =head2 NextToken => Str The next token for the subsequent request. =head1 SEE ALSO This class forms part of L, documenting arguments for method GetDetectors in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut