Find duplicate clusters in a list of strings

Cluster a list of strings by fuzzy similarity. Returns groups of likely duplicates with scores. Useful for data cleaning: 'which of these entity names are probably the same thing?' Tip: for organization or facility names, run /v1/names/org-name/clean on the inputs first so casing and punctuation don't depress scores. This is raw fuzzy string matching, not semantic — heavy abbreviations ('Univ' vs 'University', 'SLU') may still not match; lower the threshold or pre-expand abbreviations for those. Billing: 1 cost unit per item in the list, like every batch endpoint (e.g. 1,000 items = 1,000 units). The response's meta.cost_units shows the exact charge.