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Derive

Derive allows you to obtain information from a piece of data by analysing its structure, pattern or values. e.g. derive a gender from a first name, country ISO code from a telephone number or segment contacts by job roles.


Country

Derive the country name, congruency to a country, ISO 2, ISO 3 and dialling code from a set of input data including Email Address, URL, Telephone Number, Country and City. E.g.

Input

Email URL Address Phone Country City
example@google.com microsoft.com 0344 800 2400 US Redmond
example@microsoft.com google.com 6502530000 US California

Output

Country Name Congruent To Given Country Match Certainty Country Identifier - ISO 2 Country Identifier - ISO 3 Dialling Code
United States Of America TRUE 80 US USA 1
United States Of America TRUE 80 US USA 1

Email

Input one or more Email Addresses and find out their domain type and mail box type. E.g.

Input Domain Type Mailbox Type
example@dqglobal.com Business Personal
example@gmail.com FreeProvider Personal
support@microsoft.com Business Generic

Gender

Input one or more first names and identify whether or not they are suspected to be MALE, FEMALE, EITHER or UNKNOWN (alongside a Result code which corresponds to each result). E.g.

Name Gender Result Code
Mary Female 0
Martin Male 1
Sam Either 2

Postcode

Input one or more postcodes alongside a country identifier and find out the state/county it belongs to as well as the longitude and latitude. E.g.

Postcode Country Identifier - ISO 2 County Latitude Longitude
PO13 9FU GB Hampshire 50.81258193 -1.194509243
98052 US King 47.6718 -122.1232
94043 US Santa Clara 37.4056 -122.0775
derive.txt · Last modified: 2023/02/23 16:35 by hayden.law