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Label Review Analytics: Exact Row Deduplication + Date-by-Category Pivot
x402
Label Review Analytics: Exact Row Deduplication + Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Deduplicates exact rows and produces a date-by-category pivot table from supplied label review records (reviewed_records, changed_labels) in a single call returning two reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot 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
Two structured analytical reports: (1) a deduplicated set of the input rows with exact duplicate rows removed, and (2) a pivot table cross-tabulating the selected metric (reviewed_records or changed_labels) by date and dataset_group category. Both reports are computed entirely from the supplied data with no external lookups.
Example use cases
Deduplicate ML annotation review logs
“I've got a batch of label review records from our annotation pipeline with row_id, dataset_group, date, reviewed_records, and changed_labels — some rows are exact duplicates. Can you deduplicate them and also give me a pivot of reviewed_records by date and dataset group?”
Audit changed labels across dataset groups
“Here are 150 label review rows spanning several dataset groups and dates. Run exact deduplication and give me a date-by-category pivot on the changed_labels field so I can see which groups had the most label changes over time.”
Summarize weekly annotation quality data
“I have weekly label review data with reviewed_records and changed_labels across groups like group-a and group-b — can you deduplicate exact rows and pivot by date and category so I can spot trends in label quality?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-052?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of label review data and need both exact-duplicate removal and a date-by-category pivot in a single low-cost call ($0.01 USDC). Ideal for ML/annotation teams auditing label quality data offline without needing live lookups, predictions, or external data enrichment. Prefer over general analytics services when you specifically need these two co-packaged reports on label review schema data.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, dataset_group) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Numeric values outside allowed range — schema rejection
- Empty rows array — minimum items constraint violation
- field selector not one of the two allowed enum values — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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