The following video walks through designing a Pet Store API, more coming soon.
In minutes, have a real working API with data layer available on the web for anyone to test drive along with API documentation.
Start designing paths and see how database support is automatically generated. Test the API buy sending requests and then finally deploy the API backend to the cloud for external users to try it out.
Add path that only has a single resource, not a collection of resources.
At any time you can add/remove properties of your resources and the schema is seamlessly updated in the data.
Data types are objects used to describe resource properties.
Add error responses to your API backend paths.
Add query parameters to the API paths.
Use default docs provided or easily create your own documents for your use case.
Add example low code logic to make sure a duplicate stock ticker symbol can't be added to your stock list.
An example of how to Override the default response for an HTTP request for a "favorite" stock resource.
Send updates to external APIs using webhooks, in this example we send a Slack notification.
As you design API paths, a GraphQL layer is automatically generated.
After deploying your API to the cloud, easily share your API for others to review.
Import OpenAPI and then send requests to the auto-generated API backend prototype in the cloud.
See how to use RestPost API to design and deploy APIs.