Level of Relevance
1 - Relevant
2 - Very Relevant
3 - Extremely Relevant
Depending on the level of relevance of the fields and the possibility of designing the risk strategy according to your business needs, when validating test transactions, they will be charged if they are not sent. Therefore, we request a prior analysis of the documentation and flagging of the fields that cannot be sent.
If you do not have the data to send, please do not send the corresponding field as empty, that is, just do not send it.
Key | Value | Type | Relevance Level | Segment |
---|---|---|---|---|
1 | Customer Logged In If the end customer logged into the site to buy, send: their login If they made the purchase as a visitor, send: Guest If the sale was made directly by a third party, an agent for example, do not send the field | string | 2 | All |
2 | Number of days that the customer has been your customer Ex.: 314 | int | 3 | All |
3 | Number of installments for the order | int | 3 | All |
4 | Sales Channel Possible values: Call Center -> purchase by phone Web -> purchase via the web Portal -> an agent making the purchase for the customer Kiosk -> purchases at kiosks Mobile -> purchases made on cell phones or tablets | string | 3 | All |
5 | Send the coupon/discount code if the customer uses it in the purchase | string | 1 | All |
6 | Quantity in days since the last purchase made by the customer Ex.: 55 | int | 3 | All |
7 | Seller code or name | string | 1 | All |
8 | Attempts made by the customer to make payment for the same order, which may be with different credit cards and/or through other payment methods | int | 2 | All |
9 | Identifies whether the customer will pick up the product at the store Possible values: YES or NO | string | 3 | Retail or Cosmetics |
10 | Identifies whether the payment will be made by someone other than the person present on the trip or package Possible values: YES or NO | string | 3 | Air or Tourism |
11 | Hotel category (number of stars) Possible values: 1 -> Simple 2 -> Economy 3 -> Tourism 4 -> Superior 5 -> Luxury | int | 3 | Tourism |
12 | Number of days from the date of purchase to the date of check-in at the hotel Ex.: 123 | int | 3 | Tourism |
13 | Number of nights at the hotel Ex.: 5 | int | 3 | Tourism |
14 | Trip or package category Possible values: National or International or National/International | string | 3 | Air or Tourism |
15 | Name of the airline / car rental company / hotel Send the name of each company, separated by / | string | 2 | Air or Tourism |
16 | PNR code of the reservation When there is a change in the reservation for this PNR, with an advance of the flight date, it is important to perform a new fraud analysis by sending this PNR again | string | 3 | Air |
17 | Identifies if there was an advance reservation Possible values: YES or NO If yes, it is essential to also send field 16 - Reservation PNR code | string | 3 | Air |
18 | Rent vehicle category Possible values: 1 - Basic 2 - Sports 3 - Prime 4 - Utility 5 - Armored | string | 3 | Tourism |
19 | Identifies whether the package includes a cruise Possible values: YES or NO | string | 2 | Tourism |
20 | Decision of the fraud analysis regarding the last purchase Possible values: ACCEPTED or REJECTED | string | 3 | All |
21 | Shipping cost Ex.: 10599 = R$ 105.99 | long | 1 | Retail or Cosmetics |
22 | Store code where the product will be picked up This field must be sent when field 9 is sent equal to YES | string | 3 | Retail or Cosmetics |
23 | Credit card suffix (last 4 digits) | int | 1 | All |
24 | Number of days since the first purchase made by the customer Ex.: 150 | int | 3 | All |
25 | Customer gender Possible values: F -> Female M -> Male | string | 2 | All |
26 | Credit card bin (first 6 digits) | int | 1 | All |
27 | Street type of delivery address Possible values: R -> Residential C -> Commercial | string | 2 | All |
28 | Average time in minutes that the customer took to make the purchase | int | 2 | All |
29 | Number of attempts the customer made to log in | int | 2 | All |
30 | Number of web pages that the customer visited before the purchase in the last 30 minutes | int | 2 | All |
31 | Number of credit card number changes credit that the customer made to pay for the order | int | 2 | All |
32 | Identifies whether the email was pasted or typed Possible values: Typed or Pasted | string | 3 | All |
33 | Identifies whether the credit card number was pasted or typed Possible values: Typed or Pasted | string | 3 | All |
34 | Identifies whether the email was confirmed for account activation Possible values: YES or NO | string | 2 | All |
35 | Identifies the type of customer Possible values: Local or Tourist | string | 2 | Tourism |
36 | Identifies whether a gift card (GiftCard) was used in the purchase as a form of payment Possible values: YES or NO | string | 1 | All |
37 | Method of shipping the order Possible values: Sedex Sedex 10 1 Day 2 Days Motorcycle Courier Same Day | string | 3 | Retail or Cosmetics |
38 | Customer's phone number identified by the bina when the sale is made through the sales channel equal to Call Center Format: DDIDDDNumber - Ex.: 552121114720 | string | 3 | All |
39 | Call Center Username This field must be sent when field 4 is sent equal to Call Center | string | 1 | All |
40 | Comments inserted when order is present | string | 1 | All |
41 | Document type Possible values: CPF or CNPJ or Passport | string | 2 | All |
42 | Customer age | int | 2 | All |
43 | Customer income range Ex.: 100000 = R$ 1,000.00 | long | 2 | All |
44 | Historical amount of purchases made by the customer | int | 3 | All |
45 | Identifies whether the purchase is made by an employee Possible values: YES or NO | string | 2 | All |
46 | Printed name (holder) on the credit card | string | 3 | All |
47 | Identifies whether the card is private label Possible values: YES or NO | string | 2 | All |
48 | Number of payment methods used to make the purchase | int | 2 | All |
49 | Average of purchases made in the last 6 months Ex.: 159050 = r$ 1,590.99 | long | 3 | All |
50 | Deviation factor of the current purchase value over the average of the last 6 months Example format: 2.5 (no thousands separator, separate decimal with a period) | float | 3 | All |
51 | Identifies whether the customer is a VIP with differentiated risk treatment or positive list Possible values: YES or NO | string | 3 | All |
52 | Product category Possible values: Animals and Pets Clothing & Accessories Business & Industry Cameras & Optics Electronics Food, Beverages & Tobacco Furniture Tools Health & Beauty Home & Garden Luggage & Bags Adults Guns & Ammunition Office Supplies Religion & Ceremonies Software Sports Equipment Toys & Games Vehicles & Parts Books DVDs & Videos Magazines & Newspapers Music Other Unspecified Categories | string | 2 | All |
53 | Identifies whether there is a cell phone confirmation routine via SMS Possible values: YES or NO | string | 2 | All |
54 | What is the 2nd form of payment | string | 2 | All |
55 | What is the 3rd form of payment | string | 2 | All |
56 | If the 2nd form of payment is credit card, send the brand | string | 1 | All |
57 | If the 3rd form of payment is credit card, send the brand | string | 1 | All |
58 | If the 2nd form of payment, inform the amount paid Ex.: 128599 = R$ 1,285.99 | long | 2 | All |
59 | If the 3rd form of payment, inform the amount paid Ex.: 59089 = R$ 590.89 | long | 2 | All |
60 | Number in days since the date of the last change Ex.: 57 | int | 3 | All |
61 | Identifies if there was a change in the registration | string | 1 | All |
62 | Number of points exchanged in the last purchase | long | 3 | Loyalty |
63 | Number of points remaining in the balance | long | 2 | Loyalty |
64 | Number of days since the last points exchange | long | 2 | Loyalty |
65 | Customer identifier in the loyalty program | string | 2 | Loyalty |
66 | Number of minutes recharged in the last 30 days | long | 2 | Digital Goods |
67 | Number of recharges made in the last 30 days | long | 2 | Digital Goods |
68 | Number in days between departure date and return date | int | 2 | Air |
69 | Number of passengers traveling regardless of age group | int | 2 | Air |
70 | Flight ID | string | 1 | Air |
71 | Number of infants traveling | int | 2 | Air |
72 | Number of children traveling | int | 2 | Air |
73 | Number of adults traveling | int | 2 | Air |
74 | Identifies whether you are a Frequent Flyer Possible values: YES or NO | string | 2 | Air |
75 | Frequent Flyer Number | string | 2 | Air |
76 | Frequent Flyer Category This category may vary by airline | int | 2 | Air |
77 | Day of the week of departure Possible values: Sunday Monday Tuesday Wednesday Thursday Friday Saturday | string | 2 | Air |
78 | Airline code Ex.: JJ or LA or AA or UA or G3 etc | string | 1 | Air |
79 | Ticket fare class Ex.: W or Y or N and etc | string | 2 | Air |
80 | Passenger's mobile phone number Ex.: Format: DDIDDDNumber - Ex.: 5521976781114 | string | 2 | Air |
81 | Identifies whether the credit card holder will travel Possible values: YES or NO | string | 3 | Air |
82 | Identifies whether the seller will work with manual review or not Possible values: YES or NO | string | 1 | All |
83 | Business segment Ex.: Retail | string | 2 | All |
84 | Name of the platform integrated with the Braspag Antifraud Gateway API If it is a direct integration between the store and Braspag, send a value equal to OWN | string | 3 | All |
85 to 89 | Free fields and fields defined with the antifraud provider, according to business rules | - | - | - |
90 to 100 | Reserved | - | - | - |