From my understanding, Schemathesis can generate data based on a value being a string, number, boolean, etc. It also seems fairly manual to set up and has a learning curve. Our output is JavaScript that can be run anywhere.
With our TestGen feature, the AI looks at example requests in a HAR file or Swagger examples, or it can solely rely on the name of the property. From there, it automatically generates the correct type and format of data - e.g., if a field is named "address," it generates a value that looks like an address and is formatted in the same way as examples. It wouldn't be practical to cover every potential edge case and scenario without AI.
With our TestGen feature, the AI looks at example requests in a HAR file or Swagger examples, or it can solely rely on the name of the property. From there, it automatically generates the correct type and format of data - e.g., if a field is named "address," it generates a value that looks like an address and is formatted in the same way as examples. It wouldn't be practical to cover every potential edge case and scenario without AI.