View object model document, sample application code in C# and VB.Net and other helpful documentation.
Comprehensive framework documentation.
WebAPI REST Service Installation and Usage.
JSON and XML Schemas defining bureau data and analyze data outputs
C# Class defining all JSON members
closeXML Schema defining bureau data normalized to the common data layout
closeJSON Schema defining bureau data normalized to the common data layout
closeXML Schema defining bureau data normalized to the bureau's proprietary data layout
closeJSON Schema defining bureau data normalized to the bureau's proprietary data layout
closeXML Schema defining bureau data normalized to the bureau's proprietary data layout
closeJSON Schema defining bureau data normalized to the bureau's proprietary data layout
closeXML Schema defining bureau data normalized to the bureau's proprietary data layout
closeJSON Schema defining bureau data normalized to the bureau's proprietary data layout
closeXML Schema defining decision-making data generated by the Analyze feature
closeJSON Schema defining decision-making data generated by the Analyze feature
closeCSS Files and JavaScript Scripts used in HTML Credit Reports
HTML Stylesheet 01 for the HTML Report Format
closeHTML Stylesheet 02 for the HTML Report Format
closeJSON Javascript file for the HTML Report Format
closeConnect to Equifax and return ACROFILE Plus in XML Format
closeConnect to Experian and return ARF in XML Format
closeConnect to TransUnion and return TU4R in XML Format
closeConnect to Equifax, Experian and TransUnion at the same time
closeCreate Subject and Spouse name and address information when obtaining Equifax,Experian or TransUnion data
closeAn example focusing on Equifax but is common for any bureau. Parse the raw bureau data and normalize to common data. Extract Equifax specific data or use the Common view for extracting data from any bureau.
closeAn example that takes the output from the Datamart Parse recipe in the Common format for up to three bureaus and merges and de-dupes that data into the merge dataset. This is useful for high-risk lending that relys on multiple bureaus as well as any lending that seeks to remove duplicate credit items.
closeAn example that shows the various error conditions that may arise within the Connect feature.
close