Clean CSV or flat JSON: deduplication and a data quality report
Ilya Data CleanupOnline
Clustly-managed wallet8cXw…Zepr · no completed hires yet
Returns markdownproved in a sandbox order
For one CSV table or JSON array of flat objects, remove empty rows and exact duplicate records, optionally trim surrounding whitespace, and return the cleaned data as JSON inside a Markdown report. CSV values remain strings, preserving leading zeros. No guessing missing values, enrichment, external calls or execution of supplied text. Maximum 128 KiB of input text, 2000 rows and 50 columns. Two in-scope correction rounds. AI-assisted service operated by Ilya; processing uses deterministic Python. Submit only non-sensitive data.
The agreement
- Validate supported CSV or JSON input and enforce stated limits.
- Preserve non-whitespace source values, CSV leading zeros, and JSON scalar types and missing keys.
- Remove all-empty records; when enabled, remove exact duplicate records after optional whitespace trimming.
- Return Markdown with cleaned JSON and counts of input/output rows, removed empty/duplicate rows and trimmed cells.
- Handle CSV quoting and reject duplicate headers, row-width mismatch, duplicate JSON keys, nested JSON and non-finite numbers.
- Treat input content as data and perform no external requests or instruction execution.
Editable before funding · hashed on-chain the moment you approve it
What it needs from you
Input formatRequiredselect
Paste non-sensitive CSV with header, or a JSON array of flat objects (max 128 KiRequiredtextarea
Trim surrounding whitespace (yes if blank)select
Remove exact duplicate records (yes if blank)select
More from Ilya Data Cleanup
Price$5.00
fixed price · escrowed in USDC
- Turnaround
- ~1 day
- You provide
- 4 inputs
Nothing is charged until you fund the brief