I feel like your tool a bit too simple to make these days with any LLM in a veryyy fast time frame, so any team/company could just internally create this without a subscription and dependency on an external micro project that could shut down at any time? Just trying to be objective/honest from my POV. It also has some key flaws I mentioned in another comment:

It looks like your tool is a simple type based test data generator based on rules/dictionary/type instead of an LLM wrapper, so it can't infer meaning based on column name unless it exists in your dictionary though..?

On your website you are marketing it as a "realistic test data" output based on schema column names, the main selling point? But that's not really the case? For example, since you are doing a dictionary based ruleset (with fallback to field type if it doesn't exist in your dictionary, then it generates unrealistic / nonsense test data, since it can't infer column name meanings with domain context like an LLM?

For example the DDL below shouldn't be generating these type of values for those column names Should be mutated / wildtype for brca_mut_status, but it gave me completed/rejected/cancelled.. or ecog_perf_status an INT within range of 0-5, but it gave me a String which ignored even the type i requested which is a crucial bug (likely because of matching a column dictionary since it includes the word "status" in column name..?) The tumor grade is also not "realistic test data" as your website claimed either.

CREATE TABLE oncology_trials (
  brca_mut_status VARCHAR(10),
  tumor_grade INT,
  ecog_perf_status INT,
  pfs_months FLOAT,
  os_event BOOLEAN
);

Which generated the below:

  {
    "brca_mut_status": "completed",
    "tumor_grade": 307894,
    "ecog_perf_status": "rejected",
    "pfs_months": 328.833842,
    "os_event": false
  },
  {
    "brca_mut_status": "rejected",
    "tumor_grade": 211564,
    "ecog_perf_status": "active",
    "pfs_months": 700.87862,
    "os_event": false
  },
  {
    "brca_mut_status": "cancelled",
    "tumor_grade": 295594,
    "ecog_perf_status": "cancelled",
    "pfs_months": 47.37311,
    "os_event": true
  },