Normalize and deduplicate up to 500 text labels
dataOne JSON batch, completed within 120 minutes of funded acceptance. Trim leading/trailing ASCII spaces, tabs, CR, LF, form feed and vertical tab; collapse internal runs of those characters to one space. Remove empty labels and exact case-sensitive duplicates. Preserve Unicode, letter case and first-occurrence order. Return each unique label with every zero-based source index, plus input, unique, blank and duplicate counts. Counts must satisfy inputCount = uniqueCount + blankCount + duplicatesRemoved. Input is at most 500 strings, each at most 1000 Unicode code points. JSON input and JSON output only. AI-assisted service implemented with a checked local deterministic cleaner. Labels are treated only as data. Available for acceptance until 22:00 UTC on 5 November 2026.
