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Label Review Analytics: Exact Row Deduplication + Explicit Missing-Value Fill
x402
Label Review Analytics: Exact Row Deduplication + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Deduplicates exact duplicate rows and fills missing values in label review records (reviewed_records and changed_labels) using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill for supplied label review records (reviewed_records, changed_labels). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports on the supplied label review records: one covering exact row deduplication (identifying and removing identical rows) and one covering explicit missing-value fill for the chosen field (reviewed_records or changed_labels) using the selected imputation method (zero, mean, or median). No external lookups or predictions are performed; all computation is local to the supplied data.
Example use cases
Clean annotation pipeline before model training
“I have 120 label review records across several dataset groups from the past month and some rows are exact duplicates while others have null reviewed_records counts — can you deduplicate them and fill the missing reviewed_records using median imputation?”
Audit changed labels data quality
“Before I hand off this label review export to my team, can you remove any exact duplicate rows and fill any missing changed_labels values with zero so the dataset is clean?”
Prepare small review batch for reporting
“I've got 40 label review entries with dates in 2026-10 for group-a and group-b — some have null reviewed_records. Can you deduplicate exact rows and impute the missing values using mean so I can include them in my weekly report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-054?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a low-cost ($0.01 USDC), self-contained, local analytical pass on a small-to-medium label review dataset (up to 200 rows) that combines both exact deduplication and missing-value imputation in a single call. Ideal for ML annotation pipelines that need lightweight data cleaning before downstream processing, where no external prediction, lookup, or human review is needed.
Side effects
- Input array is empty or exceeds 200 rows — validation error returned
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, date, etc.) — request rejected
- Invalid enum value for method or field — schema validation error
- Numeric values outside allowed range (±1,000,000,000,000) — validation failure
- Payment of 0.01 USDC not received — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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