Address Verification

Learn how to verify customer addresses using Sumsub's Non-Document Address Verification.

Sumsub’s Non-Document Address Verification solution helps businesses verify their customers’ residency data by levering reliable government and commercial sources in more than 40 countries worldwide.

It works by either asking the user to submit a few unique identifiable elements, which are used to instantly extract their complete address information, or by matching their detailed residency data against one or two authoritative sources. The result enables Sumsub’s clients to simplify and speed up their customers onboarding processes, while simultaneously keeping operational costs at a minimum.

The overall solution helps regulated organizations meet their regulatory compliance requirements on verifying customer residency data against authoritative sources and determining both the legitimacy as well as liveness of their identity. At the same time, it helps optimize traditional address verification methods by increasing customer conversion rates up to 85%, minimizing the processing time to an average of 4.5 seconds, and reducing all operational efforts required for manual document reviews.

These values make Non-Document Address Verification a reliable alternative to document-based residency checks that not only delivers our clients a high level of identity data assurance and fraud prevention, but also enables maximum legitimate customer coverage through an effortless user experience, all while staying compliant with national regulatory requirements.

The supported data verification methods for this solution are:

  • Data Enrichment — comprehensive user address data enrichment that verifies unique personal identifiers against authoritative government, banking, and credit sources.
  • 1x1/2x2 Matching — screening user’s address data against a number of reliable databases until it matches either one or two of the sources in their country.

👍

Ideal for:

  • Ensuring regulatory compliance
  • Streamlining customer onboarding
  • Preventing Identity fraud
  • Reducing operational costs and resources

Availability

The following is a list of countries where Non-Document Address Verification is currently available:

Note that this list is constantly updated and expanded.

Show all

Method

Input data

Output data

Source type

Coverage

ENRICHMENT
  • Personal identification number (Documento Nacional de Identidad - DNI)

  • Gender

  • Selfie

  • Full name

  • Date of birth

  • DNI number

  • Address

  • Nationality

  • Gender

  • Selfie (Match/No Match)

  • Phone

  • Email

  • CUIL (Unique Labor Identification Code) or CUIT (Single Tax Identification Number)

Government
97%
1X1 MATCHING
  • Country

  • National ID (Documento Nacional de Identidad - DNI)

  • First name

  • Last name

  • Date of birth

  • Street, Building number, Town/City, State/Province, Postal Code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Government
99%
2X2 MATCHING
Government
65%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Credit

  • Telco

  • Commercial

  • Consumer

97%
2X2 MATCHING
Aggregated
  • Government

  • Credit

  • Telco

  • Commercial

  • Consumer

85%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Credit

  • Commercial

  • Consumer

70%
2X2 MATCHING
Aggregated
  • Credit

  • Commercial

  • Consumer

50%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Credit

  • Telco

  • Commercial

  • Consumer

50%
2X2 MATCHING
Aggregated
  • Government

  • Credit

  • Telco

  • Commercial

  • Consumer

50%

Method

Input data

Output data

Source type

Coverage

ENRICHMENT
  • Individual taxpayer identification number (Cadastro de Pessoas Físicas - CPF)

  • Full name

  • Date of birth

  • Address

Government
95%
1X1 MATCHING
  • Country

  • TIN (Cadastro de Pessoas Físicas - CPF)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • Phone number (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Credit

  • Telco

  • Commercial

  • Utility

99%
2X2 MATCHING
Aggregated
  • Government

  • Credit

  • Telco

  • Commercial

  • Utility

90%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • Phone number

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Credit

  • Telco

  • Postal

95%
2X2 MATCHING
Aggregated
  • Credit

  • Telco

70%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • TIN (Rol Único Nacional - RUN)/(Rol Único Tributario - RUT)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Credit

45%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • TIN (Número Único de Identificación Personal - NUIP)

  • First name

  • Last name

  • Date of birth

  • Street

  • Town/City

  • State/Province

  • Postal code

  • Phone number (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Credit

  • Commercial

80%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • TIN (Centrale Person Register - CPR)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Consumer

90%
2X2 MATCHING
Aggregated
  • Government

  • Consumer

50%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • TIN (Personal identity code - Henkilötunnus)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Consumer

  • Proprietary

90%
2X2 MATCHING
Aggregated
  • Government

  • Consumer

  • Proprietary

70%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • Postal code

  • Phone number (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Telco

  • Commercial

  • Consumer

90%
2X2 MATCHING
Aggregated
  • Government

  • Telco

  • Commercial

  • Consumer

70%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • Postal code

  • Phone number (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Credit

  • Telco

  • Commercial

  • Consumer

90%
2X2 MATCHING
Aggregated
  • Government

  • Credit

  • Telco

  • Commercial

  • Consumer

70%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • TIN (Identity Card number)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Credit

90%

Method

Input data

Output data

Source type

Coverage

ENRICHMENT
  • Personal identification number (Aadhaar)

  • Selfie

  • Full name

  • Address

  • Date of birth

  • Phone number (encrypted)

  • Email (encrypted)

  • Selfie

  • Selfie (Match/No Match)

  • Selfie (Match Score)

Government
95%
1X1 MATCHING
  • Country

  • TIN (Permanent account number - PAN)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Government
60%

Method

Input data

Output data

Source type

Coverage

ENRICHMENT
  • Personal identification number (Nomor Induk Kependudukan - NIK)

  • Full name

  • Phone number

  • Email

  • Selfie

  • NIK number(Match/No Match)

  • Full name(Match/No Match)

  • Date of birth

  • Gender

  • Address

  • Selfie (Match/No Match)

Government
95%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • Postal code

  • Phone number (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Credit

  • Telco

  • Commercial

  • Utility

90%
2X2 MATCHING
Aggregated
  • Government

  • Credit

  • Telco

  • Commercial

  • Utility

60%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • TIN (My Number/ Resident Record Code)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Telco

  • Consumer

60%

Method

Input data

Output data

Source type

Coverage

ENRICHMENT
  • Document number

  • Selfie

  • Country

  • Document type

  • Document number

  • Full name

  • Gender

  • Date of birth

  • Address

  • Issue date

  • Selfie

  • Selfie (Match/No Match)

Government
95%. Selfie coverage around 70%
  • Document number

  • Selfie

  • Country

  • Document type

  • Document number

  • Full name

  • Gender

  • Date of birth

  • Address

  • Issue date

  • Selfie

  • Selfie (Match/No Match)

Government
95%. Selfie coverage around 70%
  • Document number

  • Document status (Valid/Invalid)

  • Country

  • Document type

  • Document number

  • Full name

  • Gender

  • Date of birth

  • Address

  • Issue date

Government
95%
1X1 MATCHING
  • Country

  • National ID

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Credit

25%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • TIN (National registration identity card number - NRIC)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Credit

  • Consumer

50%

Method

Input data

Output data

Source type

Coverage

ENRICHMENT
  • Voter code number (Clave de Elector)

  • Full name

  • Father last name

  • Mother last name

  • Date of birth

  • Address

  • Gender

  • Voter Card status (Valid/Invalid)

Government
97%
  • Unique population registry code (Clave Única de Registro de Población - CURP)

  • Full name

  • Father last name

  • Mother last name

  • Date of birth

  • Address

  • Gender

  • CURP Status

Government
97%
1X1 MATCHING
  • Country

  • National ID (Clave Única de Registro de Población - CURP)/(Registro Federal de Contribuyentes - RFC)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • Phone number (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Commercial

  • Proprietary

70%
2X2 MATCHING
Aggregated
  • Government

  • Commercial

  • Proprietary

50%

Method

Input data

Output data

Source type

Coverage

ENRICHMENT
  • Full name

  • Online banking credentials

  • Device authentication

  • Bank identification number (BIN)

  • First name initials

  • Last name

  • Address

  • Date of birth

  • Gender

  • Email

  • Phone number

Banking
97%
1X1 MATCHING
  • Country

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • Postal code

  • Phone number (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Credit

  • Telco

  • Commercial

  • Consumer

90%
2X2 MATCHING
Aggregated
  • Government

  • Credit

  • Telco

  • Commercial

  • Consumer

70%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • National ID (Driving License number)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Credit

  • Commercial

70%

Method

Input data

Output data

Source type

Coverage

ENRICHMENT
  • Bank verification number (BVN)

  • Selfie

  • Country

  • First name

  • Middle name (optional)

  • Last name

  • Gender

  • Phone

  • Date of birth

  • Address

  • Selfie

  • Nationality

  • Selfie (Match/No Match)

  • BVN number (Valid/Invalid)

Banking
80%
  • National identification number (NIN)

  • Selfie

  • Country

  • First name

  • Last name

  • Gender

  • Phone

  • Email (Optional)

  • Date of birth

  • Address

  • Place of birth

  • Occupation (Optional)

  • NIN slip copy

  • Selfie

  • Selfie (Match/No Match)

Government
96%
  • National identification number (NIN)

  • Country

  • First name

  • Last name

  • Gender

  • Phone

  • Date of birth

  • Address

Government
96%
1X1 MATCHING
  • Country

  • TIN (Bank verification number - BVN)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • Phone number

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Government
40%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • National ID (National identification number - NIN)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Telco

  • Commercial

  • Consumer

80%
2X2 MATCHING
Aggregated
  • Telco

  • Commercial

  • Consumer

50%

Method

Input data

Output data

Source type

Coverage

ENRICHMENT
  • National identity document number (Documento Nacional de Identidad - DNI)

  • Full name

  • Date of birth

  • Gender

  • Address

Government
96%
  • National identity document number (Documento Nacional de Identidad - DNI)

  • Full name

  • Tax identification number (Registro Único del Contribuyente - RUC)

  • Taxpayer type

  • Taxpayer status

  • Tax condition

  • Economic activity

  • Address

Government
96%
1X1 MATCHING
  • Country, National ID (Documento Nacional de Identidad - DNI)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Credit

60%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • National ID (PhilID card number - PCN)

  • First name

  • Last name

  • Date of birth

  • Phone number

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Credit

80%
2X2 MATCHING
Aggregated
  • Government

  • Credit

50%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • National ID (Powszechny Elektroniczny System Ewidencji Ludności - PESEL)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Credit

  • Commercial

90%
2X2 MATCHING
Aggregated
  • Government

  • Credit

  • Commercial

50%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Commercial

  • Consumer

60%
2X2 MATCHING
  • Country

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Commercial

  • Consumer

50%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • TIN (National Registration Identity Card number - NRIC)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Credit

  • Commercial

60%

Method

Input data

Output data

Source type

Coverage

ENRICHMENT
  • South African ID number (SAID)

  • Country

  • Document type

  • SAID number

  • First name

  • Last name

  • Gender

  • Phone (Optional)

  • Email (Optional)

  • Date of birth

  • Address

Credit
97%
1X1 MATCHING
  • Country

  • National ID

  • First name

  • Last name

  • Date of birth

  • Phone number

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Credit

  • Telco

90%
2X2 MATCHING
Aggregated
  • Government

  • Credit

  • Telco

60%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • TIN (Número de identificación Fiscal - NIF) (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Telco

  • Commercial

90%
2X2 MATCHING
Aggregated
  • Government

  • Telco

  • Commercial

70%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • TIN (Personal Identity Number - Personnummer)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Consumer

90%
2X2 MATCHING
Aggregated
  • Government

  • Consumer

80%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • Phone number (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Credit

  • Telco

  • Commercial

  • Consumer

90%
2X2 MATCHING
Aggregated
  • Credit

  • Telco

  • Commercial

  • Consumer

80%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • National ID (Thai Identification Number)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Government
90%

Method

Input data

Output data

Source type

Coverage

1X1 MATCHING
  • Country

  • National ID (Turkish citizen identification number - T.C. Kimlik No.)

  • First name

  • Last name

  • Date of birth

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Commercial

  • Government

70%

Method

Input data

Output data

Source type

Coverage

ENRICHMENT
  • Online banking credentials

  • Device authentication

  • Full name

  • Date of birth

  • Address

  • Phone number (if available)

  • Email (if available)

  • Source type

  • Source name

Banking
97%
  • National Insurance number

  • Document number

  • Postcode

  • Document status (Valid/Invalid)

  • Document validity

  • Full name

  • Date of birth

  • Address

  • Gender

  • Driving record

Government
80%
1X1 MATCHING
  • Country

  • First name

  • Last name

  • Date of birth

  • Phone number

  • Street

  • Building number

  • Town / City

  • Postal code

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Government

  • Credit

  • Telco

  • Postal

90%
2X2 MATCHING
Aggregated
  • Government

  • Credit

  • Telco

  • Postal

75%

Method

Input data

Output data

Source type

Coverage

ENRICHMENT
  • First name

  • Last name

  • Social Security Number (SSN)

  • Date of birth

  • First name

  • Middle name

  • Last name

  • Full name (Match/No Match)

  • SSN (Match/No Match)

  • Date of birth

  • Date of birth (Match/No Match)

  • Address

  • Deceased (Yes/No)

Aggregated
  • Credit

  • Banking

  • Telco

  • Commercial

90%
  • Social Security Number (Last 4 digits)

  • Date of birth

  • Phone number

  • OTP Authentication

  • Full name

  • Date of birth

  • SSN (Complete)

  • Phone number

  • Address

  • Email address

Credit
90%
1X1 MATCHING
  • Country

  • First name

  • Last name

  • Date of birth

  • Phone number

  • Street

  • Building number

  • Town/City

  • State/Province

  • Postal code

  • TIN (Social security number - SSN) (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)

Aggregated
  • Telco

  • Postal

  • Commercial

  • Proprietary

95%
2X2 MATCHING
Aggregated
  • Telco

  • Postal

  • Commercial

  • Proprietary

70%

📘

Note

Sumsub currently supports two data verification methods: Enrichment and 1x1/2x2 Matching. You can customize these on the go based on the country, population coverage, and regulatory requirements.

  • To get started with Enrichment, reach out to your Customer Success Manager or Support team.
  • To get started with 1x1/2x2 Matching, follow the instructions provided in this article. Read more about the decision-making logic behind these methods in this article.

Get started

Explore alternative methods for Address Verification

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