Usage

Use this API to get the final verification result.

Authentication

Please refer to the API Credentials and Authentication page for more detailed information

Table of content

In this page you'll find a detailed documentation about the following models:

Response Model
- AML Field Model
  - AML Applicability Enum
  - AML Match Model

Response Model

Here is a sample top-level response you'll get from this API

{
	"check_id": "12d62f80e15c1d50ff23db54",		
	"reference_number": "abc-123-FE13",	
	"check_time": "2023-01-26T08:13:00.454774",
	"final_decision":"Refer",					
	"aml":{AMLModel}, 
}

Property	Description
check_id	Type: `string`, `not_nullable` The unique identifier of the check. This identifier is used across IDWise systems to refer to the check and is auto-generated.
reference_number	Type: `string`, `nullable` This is a custom identifier you could attach to the journey when you start it and it will be available as part of the result graph. This is useful for example to link an identifier of the user in your system to the journey or journeys made by this user thus making it easier locate the user in your system after they finish the journey (this used to be called user_id).
check_time	Type: `datetime` The date time stamp when this check was finished. The format of this field is also ISO 8601 Date Time string.
final_decision	Type: `string (enum)` Is the latest decision so far. It will contain the `system_decision` (`Complete` or `Refer`) if there has not been manual review done. Otherwise it will contain the `manual_decision` (`Approved`, `Rejected`).
aml	Type: `object`, `nullable` Holds the results of carrying out AML (Anti-Money Laundering) and background checks. If the journey is not configured with AML checks enabled then this element will be `null`. See the following sections for details on the format of the `aml` elements

AML Field Model

Shows the applicant’s records over Anti Money Laundering (AML) databases if exist. Here are the attributes that constitute an aml element:

Property	Description
matches	Type: `array [object]`, `nullable` Presents the list of matched records in the datasets for the applicant, each record of matches has the following sub-elements Check the AML Match Model for detailed information.
ongoing_monitoring_enabled	Type: `bool` Represent if ongoing monitoring is enabled or not.
last_ongoing_monitoring_update	Type: `string` is the last datetime when monitoring status was changed.
search_datetime	Type: `string` is the datetime when search was requested.

AML Match Model

Property	Description
name	Type: `string`, `not nullable` The name of the profile found in the associated database entry.
countries	Type: `string`, `nullable` The list of countries from the addresses and nationalities of this profile. It has the format of 2-letter ISO country code.
datesOfBirth	Type: `string`, `nullable` Date in either `YYYY-MM-DD` or `YYYY-MM` or `YYYY` ISO format.
notes	Type: `string`, `nullable` Notes.
datasets	Type: `array[string]`, `nullable` The name of databases in which this match was found. This could be one of the following values: - `Politically Exposed Person` -`Sanctions` -`Adverse Media` -`Regulatory Enforcement List` -`People of Interest` -`Disqualified Director` -`Insolvency` -`Fitness Probity`
aliases	Type: `array[object]`, `nullable` Other names of the profile
addresses	Type: `array[object]`, `nullable` The list of addresses.
sex	Type: `string`, `nullable` The gender of the person.
score	Type: `float`, `not nullable` The search results are ranked based on a score included in the metadata. This score does not represent an absolute ranking of the matches but rather serves to order the search results and provide a relative indication of their relevance.
details	Type: `object`, `nullable` The `details` field contains dynamic properties such as `title`, `data`, `datasets`, `datasets_classes`, and `media_links`. The type of these properties could be any of the following: string, object, or array. The `data` property is dynamic and can contain any number of key-value pairs. `datasets` and `datasets_classes` are arrays of strings. `media_links` is an object containing properties like `snippet`, `title`, and `url`. See full example here

Example for Details

{  
    "details": {  
        "adverse-media": {  
            "title": string,  
            "data": { "Country": [string], "Date of Birth": [string] },  
            "datasets": [string],  
            "datasets_classes": [string],  
            "media_links": { "snippet": [string], "title": string, "url": string }  
        },  
        "pep-institution": {  
            "title": "Pep Institution",  
            "data": {  
                "Country": [string],  
                "Political Position": [string],  
                "Chamber":[string],  
                "Institution Type":[string]  
            },  
            "datasets": [string],  
            "datasets_classes": [string]  
        }  
    }  
}