To integrate with Fraudio, you will need to map all data so that it conforms to the Fraudio data schema. This includes both live and historical data, both of which are required to calibrate our algorithms and provide highly optimised results that are customized to your company's needs.
By mapping your data to our schema, we can ensure that it's properly structured and optimised for use in our models, improving the accuracy and effectiveness of our fraud detection and prevention services.
Include as much data as possible
For the highest quality transaction data when using our API, it's crucial to include as many fields as possible from the schemas specified by each endpoint.
Ensure that your data matches our schema
When mapping data for use in our fraud scoring models, it's crucial to review our schemas thoroughly and compare each field to the corresponding data in your dataset. Any matching fields should be added to your sample. If the field names don't match, adjust the name of the field in your sample.
Review data types and values
Once you've identified and added all relevant fields to the sample, it's important to review the data types and accepted values to ensure they match the Fraudio schema. Our schemas provide detailed information about each data field, including data types, examples, and descriptions. Note that our schemas are updated regularly as new data fields are collected and incorporated into our fraud scoring models.
Confirm with your Fraudio contact and iterate as needed
After confirming with your Fraudio contact that the mapping is correct, the same process can be repeated for sending live transactions. Accurate mapping and data validation are critical to support effective fraud detection and prevention.