AML Resolution Rule Chain variables let you retrieve specific data about the applicants and apply rules based on this data.

For example, you may get the information about the alias of the screened entity and assign a specific officer to check it or obtain information about their age and country and decline the applicants based on it.

This article lists all variables available for your rule chains. Some of the variables have nested attributes and elements.

Root variables

The table below outlines the root variables that are the most essential data fields.

Field	Description
`applicant`	Information about the applicant.
`applicantIdDoc`	Applicant ID document type.
`input`	AML case input information.
`screening`	AML screening results.
`match`	AML hit information.

Input

The table below outlines input variables that contain the essential data about the screened entity.

Field	Description
`firstName`	Applicant's first name.
`firstNameEn`	Applicant's transliterated first name.
`lastName`	Applicant's last name.
`lastNameEn`	Transliterated applicant's last name.
`middleName`	Applicant's middle name.
`middleNameEn`	Applicant's transliterated middle name.
`fullName`	Applicant's full name.
`aliasName`	Applicant's transliterated full name.
`gender`	Applicant's gender.
`dob`	Applicant's date of birth.
`country`	Applicant's country.
`town`	Applicant's town.
`state`	Applicant's state.
`companyInfo`	Applicant's company info.
`countries`	Applicant's countries.
`entityType`	Applicant entity type.
`countryOfBirth`	Applicant's country of birth.
`nationality`	Applicant's nationality.
`analysis`	Risk signals based on the input data.

Screening

The table below outlines the variables related to AML screening results.

Field	Description
`id`	AML case ID.
`createdAt`	AML case creation date.
`targetEntityType`	Target entity type: applicant or transaction participant.
`vendor`	AML screening provider.
`hitsCount`	Matches count.
`riskLabels`	Risk labels collected from all matches in the case.
`matchStatuses`	Matches match statuses collected from all matches in the case.
`answer`	The GREEN/YELLOW/RED/ERROR answer of the check.
`tags`	AML case tag.

Match

The table below outlines the variables related to the AML screening match results.

Field	Description
`name`	Match name.
`alternativeNames`	Match alternative names.
`dobs`	DoBs listed in the match.
`riskLabels`	AML case risk labels.
`previousReview`	Previous case review dates.
`complyAdvantage`	ComplyAdvantage-specific match information.
`complyAdvantageMesh`	ComplyAdvantage-specific mesh information.
`worldCheckOne`	World Check One-specific match information.
`quantifind`	Quantifind-specific match information.
`analysis`	Signals based on match data.

input.companyInfo

The table below outlines the variables related to the applicant company.

Field	Description
`name`	Applicant's company name.
`alternativeNames`	Alternative applicant's company name.

input.analysis

The table below outlines the variables related to the applicant’s personal details.

Field	Description
`parentName`	Parent name extracted from input data.
`namesCount`	Words or hieroglyphs count in the applicant’s name.

screening.targetEntityType

The table below outlines the variables related to transaction participants.

Field	Description
`applicant`	Applicant data.
`transactionParticipant`	Transaction participant role.

screening.vendor

The table below outlines the variables related to the screening service provider.

Field	Description
`complyAdvantageCSOM`	Comply Advantage.
`worldCheckOne`	World Check One.
`quantifind`	Quantifind Graphyte.
`complyAdvantageMesh`	Comply Advantage Mesh.

match.dobs

The table below outlines the variables related to applicants' DoBs.

Field	Description
`hasData`	DoB data is present.

match.previousReview