Page History
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Parameter name | Icon | Comment |
Order | The parameters of the order, which was paid: · BillNumber - bill number in the external system; · OrderNumber - number of order in the external system; · Merchant ID - merchant identity number (external merchant ID); · Merchant - merchant name. Clicking on the icon takes you to the detail of this order (section 3.3). | |
Date | Payment date in format DD.MM.YYYY HH:MM. | |
Payment | Payment parameters: · Payment ID in the external system; · Status of the payment in the external system. | |
Amount | Original payment amount, the icon corresponds to the currency of payment. | |
Payment mean | Payment mean parameters: · Payment mean number (masked); · Payment mean holder; · Expiration date; · Issuer bank name; · Country of the issuer bank. The icon corresponds to the group and type of payment mean. | |
Payer | Payer parameters: · Last and first name of payer; · E-mail address; · Merchant's internal customer identification; · Phone number. | |
Risk |
| Risk parameters: Fraud percentage; Reasons for the fraud-status determination. Each reason for the fraud-status has its own icon: · fraud-status was determined by the mathematical modeling methods; · corresponds to the 'clear' fraud-status but no checks were performed by mathematical modeling methods as insufficient data were provided for the payment; · corresponds to the 'clear' fraud-status but no checks were performed; · fraud-status was determined by expert; · according to 'Black list' of payment attributes; · according to trust 'white-list' of payment attributes; · according to allowing white list, when payment attributes are out of that list; · by corresponding to the filter on card number; · by corresponding to the filter on E-mail; · by corresponding to the filter on unique payer identity values under application/service of external system; · payment was successfully checked by mathematical methods and passed all filters but some characteristics of payment look like payments that were considered as fraudulent; · by corresponding to the filter on customer country (country is determined by customer IP-address); · by corresponding to the filter on issuer-bank country; · by corresponding to the filter on IP-address; · due to the card belonging to list of trusted cards; · due to the IP belonging to list of trusted IP-address; · due to fraud-lists from bank; · by corresponding to the filter on customer phone number; · in accordance with the limit (based on aggregated payments for a certain period) for the merchant, external system or the payment application. |
Device |
| Description of the user device, which is used for payment. Each type of device its own icon: · computer; · phone. |
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Configures number of rows to be shown on the page (select the value from the drop-down box), in the result will be shown not more than specified number of payments on each page. | |
You can go to the last page by pressing “»»»»” button or return to the first page by pressing “««««”.The next page of the payments is available by pressing “»” button and you can go on previous page by button “«”. |
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Payment details
Clicking on detail icon (
) on some payment opens a new window with detailed information about the payment....
README file is a standard text file. It contains the information about creation date, character encoding:
Code Block | ||
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generated: 2013.01.09 15:10:26 GMT encoding: UTF-8 format: CSV ESCAPE_CHARACTER: " QUOTE_CHARACTER: " SEPARATOR: , Filters: Period: 2013.01.09 00:00:00 - 2013.01.09 00:00:00 |
File export.csv format and about filters which were used to select the payments. File export.csv is a standard CSV file which can be opened in the MS Excel or OpenOffice Calc. To open file export.csv in MS Excel you should:
- open empty book and select from menu Data -> From Text-> Import data from a text file;
- select the file export.csv to import;
- using the Import wizard:
- on step 1: set that it is file with delimiters, select appropriate encoding (UTF-8 is recommended);
- on step 2: Select semicolon (';') as delimiter;
- on step 3: Select the data type 'Text' for the first column;
- on the last step: you should specify the list of the book that will be used for import.
Warning |
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File contains all the payments that fit the filter parameters, but not only those that displayed on one page. |