Sentiment Slice
Keep only the people who said the thing you are looking for.
superx datasets:list
superx datasets:refine <dataset-id> --criterion "<what a matching row says>" --sort followers --limit 100 --wait
superx datasets:rows <new-dataset-id> --limit 50The source dataset is untouched. Only datasets whose rows carry text (repliers, quoters) can be refined. Rows the classifier cannot judge are KEPT and counted as unclear, so report the unclear count honestly.
MCP: list_datasets -> refine_dataset -> get_dataset_rows
Stops at: the new dataset with its matched and unclear counts. A refinement creates a dataset, so it spends one of the same 10 collections a day, plus a small AI cost. Ask before running it.