ID Ver Plus

Overview

Infutor’s ID Ver Plus product provides a mechanism for verifying consumer contact information, both for purposes of scoring and segmenting individuals, and for identifying and reducing potential fraud and risk. The product receives consumer contact information as input and returns scores to reflect the level of verification. Additionally, the product returns attributes (property, demographics, and phone attributes) to provide further insights on a given individual. The ID Ver product returns an IDVerifyScore on a 100 point scale, which reflects the overall status of the ID verification. The IDVerifyScore can be used to make a pass/fail decision when verifying a given individual.

Input

ID Ver Plus 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 Plus product returns both scores and attributes in the output. The Scores returned from ID Ver include both the overall IDVerifyScore and more granular component results. The Component results are divided into 4 sections: Validation Components, Linkage Components, Risk Flag Components, and Component Summaries. Customers can opt to use Infutor’s IDVerifyScore to make a pass/fail decision about an individual, or customers desiring to build their own scoring algorithms for verification can opt to use the components for more control and granularity. In addition to the scores that ID Ver returns, the product also returns attributes, which provide deeper insights into the individual. The attributes ID Ver returns include Demographic Attributes, Property Attributes, Auto Attributes, Phone Attributes, and IP Attributes.
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
27 Property Type Indicator Property type indicator, 2 digit numeric: 10 = Single Family Residence / Townhouse 11 = Condominium (residential) 20 = Commercial 21 = Duplex, Triplex, Quadplex 22 = Apartment 23 = Hotel, Motel 24 = Commercial (condominium) 25 = Retail 26 = Services (general public) 27 = Office Building 28 = Warehouse 29 = Financial Institution 30 = Hospital (medical complex, clinic) 31 = Parking 32 = Amusement – Recreation 50 = Industrial 51 = Industrial Light 52 = Industrial Heavy 53 = Transport 54 = Utilities 70 = Agricultural 80 = Vacant 90 = Exempt 2 digits integer representing the codes described.
28 Land plus Improvement Value The “total” (i.e., land + improvement) value closet to current market value used for assessment by county or local taxing authorities. Integer (dollars)
29 Improvement Value The “improvement” value closest to current market value used for assessment by county or local taxing authorities. Integer (dollars)
30 Improvement Value Indicator The “improvement” value indicator A = Assessed M = Market P = Appraised T = Transitional A, M, P, or T
31 Assessed Value The Total Assessed Value of the Parcel's Land & Improvement values as provided by the county or local taxing/assessment authority. Integer (dollars)
32 Length of Residence Displayed in the amount of years, an individual has lived at the address 00-99
33 Homeowner H=Homeowner, R=Renter, A=Likely Homeowner, B=Likely Renter H, R, A or B
34 Dwelling Type Dwelling Type. S=Single Family Dwelling Unit (SFDU). M=Multi-family Dwelling Unit (MFDU). S or M
35 Acres Total land mass in acres. (4 decimal points). Example: 13000=1.3 acres. Integer
36 Land Square Feet Total land mass in Square Feet. Integer
37 Year Built The construction year of the original building. (e.g., YYYY). YYYY
38 Living Square Feet The area of a building that is used for general living. This is typically the area of a building that is heated or air conditioned and does not include Garage, Porch or Basement square footage. Integer
39 Number of Rooms Total number of rooms contained in the primary building. Integer
40 Number of Bedrooms Total number of bedrooms contained in the primary building. Return Values
41 Number of Bathrooms Total number of bathrooms, 2 implied decimal places. 2.00 baths = 200. Integer
42 Total Full Baths Total number of Full Baths (typically comprised of a sink, toilet, and bathtub / shower stall). A home containing 2 1/2 baths would have the number 2 stored in this field. Integer
43 Total Half Baths Total number of Half Baths (typically comprised of a sink & toilet). A home containing 2 1/2 baths would have the number 1 stored in this field. Integer
44 Air Conditioning Type The type of air conditioning method used to cool the building(e.g., Central, Wall Unit, Evaporative): 0=AC.NONE ACA=AC.COMMERCIAL A/C ACE=AC.CENTRAL ACH=AC.CHILLED WATER ACP=AC.CENTRAL PARTIAL ACW=AC.CENTRAL & UNIT ADU=AC.DUAL UNIT AEV=AC.EVAPORATIVE AFA=AC.FAN COOLING AHT=AC.HEAT PUMP AOF=AC.OFFICE ONLY APF=AC.REFRIGERATION APK=AC.PACKAGE APR=AC.PACKAGE ROOF APT=AC.PARTIAL APV=AC.REFRIGERATION/EVAPORATION ASE=AC.SEPARATE SYSTEM ASO=AC.SOLAR ASP=AC.SPLIT SYSTEM AWA=AC.WALL UNIT AWI=AC.WINDOW UNIT AWN=AC.WALL/WINDOW UNIT Either the number 0 or 3 Alphabetical characters representing the described codes.
45 Presence of Fireplace This field is populated with a "Y" if a fireplace is located within the building. Y or Blank
46 Presence of Pool Populated with a "Y" if a Pool is present on the parcel. Y or Blank
47 Roof Type 999=BYPASS 9A0=IRREGULAR 9B0=LEAN TO A=A-FRAME B=BARN C=CANOPY D=DORMER E=FRAME F=FLAT G=GABLE H=GABLE/HIP I=HIP J=GEODESIC K=MANSARD L=BARREL M=MONITOR N=CONTEMPORARY O=SHED P=PITCHED Q=PYRAMID R=ARCHED S=SAWTOOTH T=CATHEDRAL/CLERESTORY U=BUBBLE V=GAMBREL W=SWISS CHALET/ALPINE X=COMPLEX/CUSTOM Y=BUTTERFLY Z=GAMBREL/MANSARD From 1 to 3 Alphanumeric characters representing the described codes.
48 Tax Amount The tax amount provided by the county or local taxing / assessment authority Integer
49 Recording Date The date the sales transaction was record at the county YYYYMMDD
50 Sell Price Price of the sale as depicted on the recorded sales transaction. Integer (dollars)
51 Mortgage Amount Amount of loan. Integer (dollars)
52 Mortgage Date Date mortgage was initiated. YYYYMMDD
53 Mortgage Term The length of time of the mortgage in years. Integer (years)
54 Mortgage Due Date Date mortgage becomes due. YYYYMMDD
55 Gender M=male, F=Female, blank or U=unknown. M, F, or U
56 Age Adult Age. 0-99
57 Median Year Built The year home was built. 4 digits. YYYY
58 Estimated Household Income Estimated household income, 1 character: A = Less than $20,000 B = $20,000 - $29,999 C = $30,000 - $39,999 D = $40,000 - $49,999 E = $50,000 - $74,999 F = $75,000 - $99,999 G = $100,000 - $124,999 H = $125,000 or more A - I
59 Marital Status M=Married, S=Single, A=Likely Married, B=Likely Single. M, S, A, or B
60 Wealth Score Model based on income, homeownership, and other assets owned:A = Estimated Net less than $5,000 B = Estimated Net $5,000 - $19,999 C = Estimated Net $20,000 - $49,999 D = Estimated Net $50,000 – $79,999 E = Estimated Net $80,000 - $99,999 F = Estimated Net $100,000 - $249,999 G = Estimated Net $250,000 - $499,999 H = Estimated Net over $500,000 A-H
61 Home Market Value Estimated Home Market value: A = $1,000 - $24,999 B = $25,000 - $49,999 C = $50,000 - $74,999 D = $75,000 - $99,999 E = $100,000 - $124,999 F = $125,000 - $149,999 G = $150,000 - $174,999 H = $175,000 - $199,999 I = $200,000 - $224,999 J = $225,000 - $249,999 K = $250,000 - $274,999 L = $275,000 - $299,999 M = $300,000 - $349,999 N = $350,000 - $399,999 O = $400,000 - $449,999 P = $450,000 - $499,999 Q = $500,000 - $749,999 R = $750,000 - $999,999 S = $1,000,000+ A-S
62 Presence of Children Presence of Children. Y= children present. Y or Blank
63 Number of Children Number of Children. A=No children, B=less than 3, C= 3-5 children. A - C
64 Median House Value Median House Value Code: A = Less than $50,000 B = $50,000 - $99,999 C = $100,000 - $149,999 D = $150,000 - $249,999 E = $250,000 - $349,999 F = $350,000 - $499,999 G = $500,000 - $749,999 H = $750,000 - $999,999 I = $1,000,000+ A-I
65 Median Years of School Median years of school, 3 digits max. 1 implied decimal. eg 210 = 21.0 years 000-220
66 GEO Credit **This is a premium attribute field available only by subscription.Contact Infutor Sales for more information. Purchasing Power Model refers to the GEO Credit Score, 1 character: A = (820-High) B = (800-819) C = (780-799) D = (760-779) E = (740-759) F = (720-739) G = (700-719) H = (680-699) I = (660-679) J = (640-659) K = (620-639) L = (600-619) M = (580-599) N = (560-579) O = (540-559) P = (520-539) Q = (500-519) R = (480-499) S = (460-479) T = (Low-459) A - T
67 Phone Type Phone type for the Phone. L=Landline, V=VoIP, W=Wireless, O=Other. L, V, W, O
68 Second Phone Type Phone type for the 2nd Phone. L=Landline, V=VoIP, W=Wireless, O=Other. L, V, W, O
69 In the Market for a New Vehicle In Market for new Vehicle 100 - most qualified 10 - least qualified 0 - Unknown 0-100
70 In the Market for a Used Vehicle In Market for used Vehicle 100 - most qualified 10 - least qualified 0 - Unknown 0-100
71 In the Market for Auto Finance In Market for new Financing 100 - most qualified 10 - least qualified 0 - Unknown 0-100
72 In the Market for Auto Insurance In Market for getting Vehicle Insurance 100 - most qualified 10 - least qualified 0 - Unknown 0-100
73 In the Market for Auto Parts & Service In Market for getting Vehicle Insurance 100 - most qualified 10 - least qualified 0 - Unknown In Market for buying auto parts 100 - most qualified 10 - least qualified 0 - Unknown
74 Auto Make Vehicle Make, 30 characters max. String Value
75 Auto Model Vehicle Model, 30 characters max. String
76 Auto Year Vehicle Year YYYY
77 Auto Class Vehicle Class Code CROSSOVER FULL SIZE CAR FULL SIZE SUV FULL SIZE TRUCK FULL SIZE VAN MID SIZE CAR MID SIZE TRUCK MID SIZE SUV MINIVAN SMALL CAR SMALL SUV SMALL TRUCK 15 Characters
78 Auto Fuel Type Vehicle Fuel Code: B - Biodieselcolumn D - Diesel F - Flex-Fuel G – Gasoline H - Fuel Cell I - Plug-In Electric L - Electric/Gas N - CNG (Compressed Natural Gas) P - Propane Y - Hybrid 1 character
79 Auto MFG Vehicle Manufacturing Code A - Antique C - Chrysler Products F - Ford Products G - GM Products H - High end Imports L - Low End Imports O - Other 1 character
80 Auto Style Vehicle Style Code: CONV COUPE CUV HATCHBACK LUXURY PICKUP SEDAN SPORT UTIL VAN 10 characters
81 Mileage Mileage from the last odometer reading in increments of 10,000. A=0-10,000. Z= 250,000+. A-Z
82 Last Verified Date Last verification date. YYYYMMDD
83 Second Auto Make Second Vehicle Make, 30 characters max. String Value
84 Second Auto Model Second Vehicle Model, 30 characters max. String
85 Second Auto Year Second Vehicle Year YYYY
86 Second Auto Class Second Vehicle Class Code CROSSOVER FULL SIZE CAR FULL SIZE SUV FULL SIZE TRUCK FULL SIZE VAN MID SIZE CAR MID SIZE TRUCK MID SIZE SUV MINIVAN SMALL CAR SMALL SUV SMALL TRUCK 15 Characters
87 Second Auto Fuel Type Second Vehicle Fuel Code: B - Biodieselcolumn D - Diesel F - Flex-Fuel G – Gasoline H - Fuel Cell I - Plug-In Electric L - Electric/Gas N - CNG (Compressed Natural Gas) P - Propane Y - Hybrid 1 character
88 Second Auto MFG Second Vehicle Manufacturing Code A - Antique C - Chrysler Products F - Ford Products G - GM Products H - High end Imports L - Low End Imports O - Other 1 character
89 Second Auto Style Second Vehicle Style Code: CONV COUPE CUV HATCHBACK LUXURY PICKUP SEDAN SPORT UTIL VAN 10 characters
90 Second Auto Mileage Second Auto Mileage from the last odometer reading in increments of 10,000.A=0-10,000. Z= 250,000+. A-Z
91 Second Auto Last Verified Date Second Auto Last verification date. YYYYMMDD
92 Third Auto Make Third Vehicle Make, 30 characters max. String Value
93 Third Auto Model Third Vehicle Model, 30 characters max. String
94 Third Auto Year Third Vehicle Year YYYY
95 Third Auto Class Third Vehicle Class Code CROSSOVER FULL SIZE CAR FULL SIZE SUV FULL SIZE TRUCK FULL SIZE VAN MID SIZE CAR MID SIZE TRUCK MID SIZE SUV MINIVAN SMALL CAR SMALL SUV SMALL TRUCK 15 Characters
96 Third Auto Fuel Type Third Vehicle Fuel Code: B - Biodieselcolumn D - Diesel F - Flex-Fuel G – Gasoline H - Fuel Cell I - Plug-In Electric L - Electric/Gas N - CNG (Compressed Natural Gas) P - Propane Y - Hybrid 1 character
97 Third Auto MFG Third Vehicle Manufacturing Code A - Antique C - Chrysler Products F - Ford Products G - GM Products H - High end Imports L - Low End Imports O - Other 1 character
98 Third Auto Style Third Vehicle Style Code: CONV COUPE CUV HATCHBACK LUXURY PICKUP SEDAN SPORT UTIL VAN 10 characters
99 Third Auto Mileage Third Auto Mileage from the last odometer reading in increments of 10,000.A=0-10,000. Z= 250,000+. A-Z
100 Third Auto Last Verified Date Third Auto Last verification date. YYYYMMDD
101 Fourth Auto Make Fourth Vehicle Make, 30 characters max. String Value
102 Fourth Auto Model Fourth Vehicle Model, 30 characters max. String
103 Fourth Auto Year Fourth Vehicle Year YYYY
104 Fourth Auto Class Fourth Vehicle Class Code CROSSOVER FULL SIZE CAR FULL SIZE SUV FULL SIZE TRUCK FULL SIZE VAN MID SIZE CAR MID SIZE TRUCK MID SIZE SUV MINIVAN SMALL CAR SMALL SUV SMALL TRUCK 15 Characters
105 Fourth Auto Fuel Type Fourth Vehicle Fuel Code: B - Biodieselcolumn D - Diesel F - Flex-Fuel G – Gasoline H - Fuel Cell I - Plug-In Electric L - Electric/Gas N - CNG (Compressed Natural Gas) P - Propane Y - Hybrid 1 character
106 Fourth Auto MFG Fourth Vehicle Manufacturing Code A - Antique C - Chrysler Products F - Ford Products G - GM Products H - High end Imports L - Low End Imports O - Other 1 character
107 Fourth Auto Style Fourth Vehicle Style Code: CONV COUPE CUV HATCHBACK LUXURY PICKUP SEDAN SPORT UTIL VAN 10 characters
108 Fourth Auto Mileage Fourth Auto Mileage from the last odometer reading in increments of 10,000.A=0-10,000. Z= 250,000+. A-Z
109 Fourth Auto Last Verified Date Fourth Auto Last verification date. YYYYMMDD
110 IP Address IP v4 ADDRESS. XXX.XXX.XXX.XXX IP v4 Address
111 Region Region. State name if within the US. 50 characters
112 IP City Approximate city the IP address is located within. 28 characters
113 IP Zip Approximate Zip code associated with the IP address. 5 characters
114 Latitude Approximate latitude of the IP address. 11 characters
115 Longitude Approximate longitude of the IP address. 11 characters
116 Internet Provider Internet service provider responsible for the IP address 255 characters
117 IP From Starting IP of the range that the IP address belongs xxx.xxx.xxx.xxx IP v4 address
118 IP To Final IP of the range that the IP address belongs xxx.xxx.xxx.xxx IP v4 address

Probabilistic Field

ID Ver Plus projects created in Powerflex 2 have the ability to set advanced parameters in order to refine results, to enable any of these parameters please contact our Customer service team. *Set each parameter value with an equal sign (=), example: “probabilisticfill=true”
Parameter Description
ProbabilisticFill ProbabilisticFill = True, returns inferred values for Age, Homeowner and Married Demographic attributes. (if available) ProbabilisticFill =False, returns deterministic values for Age, Homeowner and Married attributes. Default value: ProbabilisticFill = False