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

News

07.06.2024

Expanded NameAPI Database for Company Legal Forms

We've expanded our NameAPI database to include a comprehensive list of company legal forms from...


27.05.2024

Software Version 10.3.0 Deployed

We are pleased to announce the deployment of Software Version 10.3.0, bringing significant...


17.05.2024

Sinhala Names: A Window into Sri Lanka’s Cultural Identity

Sri Lanka, an island nation nestled in the Indian Ocean, captivates with its diverse landscapes,...


26.04.2024

Enhanced NameAPI Database

We've updated our NameAPI database to better handle names that include professions. We have added...


12.04.2024

Bosnian names: Echoes of Diversity and Heritage

Bosnia and Herzegovina stands out in Europe for its remarkable diversity, being a country where...


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.