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

News

10.03.2023

Large Dictionary of Given Names

The NameAPI database of names counts a total of around 220.000 female, 285.000 male and 70.000...


16.02.2023

German Names Imported

German is a West Germanic language and it is the official language of many countries, including...


10.02.2023

More Research, Larger Name Database

The NameAPI database of manually reviewed names counts more than 590.000 given names from more than...


02.02.2023

Russian Names Imported

Russian is the most widely spoken Slavic language in the world, using the Cyrillic script.


26.01.2023

Irish Names Imported

Irish is a Gaelic language, part of the Celtic language family and it is one of the official...


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.