Data models
You can define a Data model local to a process, rule, or custom service.
A local data model is useful for one-off integrations when you do not have to reuse the data model. However, if you intend to reuse the data model later, you can promote it to a global model.
You can also create a local data model using a sample JSON file. On adding a JSON file, the JSON format is parsed, and a tree structure is created. The field names in the data model match that of the JSON, and the field types are implied from the JSON sample; however, ambiguous field types are set to string. You can edit the data model by changing field types or deleting the fields that you do not want. Additionally, a data model can be created from simple JSON strings, strings having multiple nested objects, and with an array of data.
How to: