Decouple your development teams from unfinished features by creating a fully functional mock version of your backend within minutes. The customers start by defining the data model where they can create complex relations between entities, add built-in or custom property validations and set what kind of mock data should be generated for specific properties. There are a lot of categories available for mock data which covers businesses from eCommerce to finance or IoT. After that can be created the REST endpoints. For each API method can be added different authorization instances, for now, Basic Auth or Amazon Cognito. And can be defined as complex API flows for example, based on the user's group to hide or show only specific properties, or to check it’s identity based on data from other entities. After everything is set up, the users can see visual flows of their API endpoints based on their configurations: What kind of properties are visible for each group, what possible error messages can be triggered and when. If there are any identity validations flows, or even webhooks configurations. There are multiple ways of starting mock servers. The serverless config is automatically generated and can be deployed automatically to your own Amazon account or self-hosted by Mockless. It can also be started locally as the docker configuration might be generated as well.
