Input

ID Ver accepts identity data elements including name, address, phone, and email as input. ID Ver accepts IP address to flag if a consumer is using a non-US based IP address.

Input Field	Required?	Description
FullName	Required*	Full individual Name
FName	Required*	First name, 15 characters max.
LName	Required*	Last name, 20 characters max.
Address1	Required*	Address line 1, 64 characters max.
Address2	Optional	Address line 2, 64 characters max.
City	Required*	City name, 28 characters max. * Either City/State or Zip5 is required.
State	Required*	2 character state abbreviation. * Either City/State or Zip5 is required.
Zip5	Required*	5 digit numeric USPS zip code. * Either City/State or Zip5 is required.
Phone	Required*	10 digit numeric phone number (without spaces, dashes, or parentheses)
Phone2	Required*	10 digit numeric 2nd phone number (without spaces, dashes, or parentheses)
Email	Required*	Email address, 100 characters max
IP	Required*	IP v4 address in dotted decimal nnn.nnn.nnn.nnn format

*At a minimum, one of the following input combinations is required for processing:

• Phone
• Phone2
• Email
• FName + LName
• FullName
• Address1 + Zip5
• Address1 + City + State
• IP

Output

The ID Ver product returns scores in the output. The Scores returned from ID Ver include both the overall IDVerifyScore and more granular component results.

Field No.	Output Field	Description	Return Values
1	Valid Address	The validation scores validate the quality of the of the input address data by scoring the formatting of the data on a scale from 0 – 100; 0 being the worst, and 100 being the best.	Score 0-100
2	Valid Phone	The validation scores validate the quality of the of the input phone data by scoring the formatting of the data on a scale from 0 - 100;0 being the worst, and 100 being the best.	Score 0-100
3	Valid Email	The validation scores validate the quality of the of the input email data by scoring the formatting of the data on a scale from 0 – 100; 0 being the worst, and 100 being the best.	Score 0-100
4	Valid Name	The validation scores validate the quality of the input name data by comparing against common name tables and vulgar word tables to return a score on a scale from 0-100.	Score 0-100
5	Valid Second Phone	The validation scores validate the quality of the of the input contact data by scoring the formatting of the data on a scale from 0 – 100; 0 being the worse, and 100 being the best.	Score 0-100
6	Phone Confidence Score	Score of 0-100 that reflects the confidence for a given phone to be active and which also hasn't been reassigned, based on activity & velocity indicators.	Score 0-100
7	Second Phone Confidence Score	Score of 0-100 that reflects the confidence that a given phone is active and hasn't been reassigned, based on activity & velocity indicators.	Score 0-100
8	Address Confidence Score	Score 0-100 that reflects the confidence, accuracy, and deliverability for the input postal address.	Score 0-100
9	Name to Phone	Using Infutor's identity graph, the "Name" to "Phone" verifies the quality of the of the input identity by scoring the linkage of the "Name" to "Phone" on a scale from 0 – 100	Scores 0-100
10	Name to Email	Using Infutor's identity graph, the "Name" to" Email" verifies the quality of the of the input identity by scoring the linkage of the "Name" to "Email" on a scale from 0 – 100	Scores 0-100
11	Name to Address	Using Infutor's identity graph, the "Name" to "Address" verifies the quality of the input identity by scoring the linkage of the "Name" to "Address" on scale from 0 – 100.	Scores 0-100
12	Address to Phone	Using Infutor's identity graph, the "Address" to "Phone" verifies the quality of the input identity by scoring the linkage of the "Address" to "Phone" on a scale from 0 – 100.	Scores 0-100
13	Address to Email	Using Infutor's identity graph, the "Address" to "Email" verifies the quality of the of the input identity by scoring the linkage of the "Address" to "Email" on a scale from 0 – 100.	Scores 0-100
14	Phone to Email	Using Infutor's identity graph, the "Phone" to "Email" verifies the quality of the of the input identity by scoring the linkage of the "Phone" to "Email" on a scale from 0 – 100.	Scores 0-100
15	Name to Second Phone	Using Infutor's identity graph, the "Name" to "Second Phone" verifies the quality of the of the input identity by scoring the linkage of the "Name" to "Second Phone" on a scale from 0 – 100.	Scores 0-100
16	Address to Second Phone	Using Infutor's identity graph, the "Address" to "Second Phone" verifies the quality of the of the input identity by scoring the linkage of the "Address" to "Second Phone" on a scale from 0 – 100	Scores 0-100
17	Second Phone to Email	Using Infutor's identity graph, the "Second Phone" to "Email" verifies the quality of the of the input identity by scoring the linkage of the "Second Phone" to "Email" on a scale from 0 – 100	Scores 0-100
18	Deceased	The deceased field is used to determine if an identity is living or deceased. A score of 100 represents the individual is living and a score of 0 represents the individual is deceased. If the field is Blank, it means Unknown	Scores 0-100 or BLANK
19	US Location	The "US Location" field is used to determine if an identities' IP Address is recognized to be within USA. A score of 100 represents the individual's IP Address is recognized to be within USA.	Scores 0-100
20	Valid Count	A count of the number of Validation Components which returned a positive verification.	Decimal Value, 0-5
21	Linkage Count	A count of the number of Linkage Components which returned a positive verification.	Decimal Value, 0-5
22	Risk Flag Count	A count of the number of Risk Flag Components which returned a positive verification.	Decimal Value, 0-5
23	Validation Summary	A summary of the Validation Components results.	Pass, Fail, or Inconclusive
24	Linkage Summary	A summary of the Linkage Components results.	Pass, Fail, or Inconclusive
25	Risk Flag Summary	A summary of the Risk Flag Components results.	Pass, Fail, or Inconclusive
26	ID Verify Score	The validation scores validate the quality of the of the input contact data by scoring the formatting of the data on a scale from 0 – 100; 0 being the worse, and 100 being the best.	Scores 0-100

Configurable Components of the IDVerifyScore:

For customers who want to build their own scoring algorithm for verification, the ID Ver product exposes all the configurable components that factor into the IDVerifyScore. Each component has a score on a 100 point scale, providing detailed granularity on how each identity data element scores for a given individual. The components are categorized into 4 sections: Validation Components, Linkage Components, Risk Flag Components, and Component Summaries. By default, each of the Configurable Components has equal weighting in influencing the overall IDVerifyScore. However, Infutor recommends customers allow for a regression analysis, so Infutor can analyze and help customers optimize the ID Ver product to meet their specific business needs by emphasizing or de-emphasizing relevant components, adjusting the weighting of how each component influences the overall IDVerifyScore. Additionally, if a given component is not relevant for a customer’s business needs, that component can be turned off from impacting the IDVerifyScore.