Improved custom model support allows you to make workflow decisions based on a propriety data set or model

Alloy now allows you to make workflow decisions based on a proprietary dataset or model. For example, your company may have its own fraud model based on your own device and location data that you would like to apply in a workflow. Custom models were previously supported but now clients can set up these models much more quickly and independently.

We now allow clients to configure a “Custom Model” service within an Alloy workflow in the following way:

  1. You host and configure an endpoint that Alloy will POST to during an evaluation with any service data that have been configured to run before the custom model
  2. Your model returns a score to Alloy
  3. You can configure decision thresholds based on that score in the Alloy dashboard

To learn more about how to use custom models, please reference our support documentation.