NameAPI is a web API
to handle people's names
in your software.

News

15.08.2023

Bulgarian Names: Stories of Tradition and Identity

Did you know that within the Bulgarian culture, name days often hold greater significance and are...


27.07.2023

Extended Credit Validity Period

We are excited to announce a significant update to our credit system at NameAPI!


07.07.2023

Kazakh Names: Reflections of Identity and Belonging

Did you know that certain regions in Kazakhstan have unique naming traditions and preferences?


22.06.2023

Ethiopian Names Imported: Unveiling Rich Heritage

Did you know that Ethiopia boasts a diverse linguistic landscape with over 80 languages spoken...


08.06.2023

Cultural Fusion of Cameroonian Names

Cameroon is a multilingual country in Central Africa, with over 200 different languages spoken.


Risk Detector

Detects various types of possibly fake data in person records.





 
 

  Examples by culture:
Examples:

 

Developer: see the technical specification of the REST service.

 

Input/Output

Possible input values are the person's name, telephone numbers and email addresses, and physical addresses. The API is flexible in how the data is fed, for example the name can come in as a single string "full name" or separated into specific name fields.

The output contains an overall risk score in the range -1 to +1, plus detailed information about every detected risk.

A score > 0 means there's a risk. Zero is the neutral value; nothing bad detected yet there's nothing good either. A negative value means that the record does look genuine.

 

Performed checks

Fake risks

Completely invalid data is entered to pass mandatory input field requirements.

Random typing detection

Example: "asdf asdf".

Placeholders entities

Examples: "John Doe", "Anytown"

Famous and fictional entities

Examples: "James Bond", "Barak Obama"

Humorous, invalid, vulgar input

Examples: "Sandy Beach", "Timbuckthree", "None of your business", "firstname lastname"

 

Disguise risks

Such mangled input is used to circumvent machine processing. Humans can still understand these modified values, but machines can't unless they detect the patterns and clean the input.

Padding

Padding is adding content to the left/right of a value.

Example: XXXJohnXXX

Stutter typing

Example: Petttttttttterson

Spaced typing:

Example: P e t e r M i l l e r

 

Demarcation

This is not a spell checker service, nor an address verification service. The service does not return cleaned data.