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Label Review Analytics — Grouped Numeric Summary + Date by Category Pivot
x402
Label Review Analytics — Grouped Numeric Summary + 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 2026-10-24).
Generates two analytical reports from label review data: a grouped numeric summary and a date-by-category pivot, processing up to 200 rows of reviewed_records and changed_labels data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Grouped numeric summary + Date by category pivot: Grouped numeric summary + 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
Returns two independent analytical reports: (1) a grouped numeric summary aggregating reviewed_records or changed_labels by dataset_group, and (2) a date-by-category pivot table showing the selected field values broken down by date and category — both computed locally from the supplied rows with no external lookups.
Example use cases
ML annotation team productivity review
“I have 150 rows of label review logs with dataset groups and daily reviewed_records counts — can you give me a grouped numeric summary and a date-by-category pivot so I can see which teams reviewed the most records and how activity trended over time?”
Label correction rate analysis by group
“Run a grouped summary and date pivot on my changed_labels data — I want to see which dataset groups had the highest label correction rates and how those changes were distributed across dates.”
Data annotation audit across two projects
“I've got annotation audit records for two dataset groups across 90 rows covering last quarter — can you produce a numeric summary grouped by dataset_group and a date-by-category pivot on reviewed_records so I can compare the two projects?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-097?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a grouped numeric summary AND a date-by-category pivot on label review data in a single $0.01 call, processing up to 200 rows. It is purpose-built for data annotation and MLOps audit workflows where you want to analyze reviewed_records or changed_labels across dataset groups and time without any external lookup or prediction.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) cause validation errors
- Invalid date format (must match YYYY-MM-DD pattern) results in schema rejection
- Null numeric values in the selected field may produce incomplete aggregations
- Empty rows array (minItems: 1 violated) causes request failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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