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Label Review Analytics — Numeric Distribution & Date-by-Category Pivot
x402
Label Review Analytics — Numeric Distribution & 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).
Runs two local analytical reports on label review data: a numeric distribution of reviewed_records or changed_labels, and a date-by-category pivot grouped by dataset_group.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Numeric distribution + Date by category pivot: Numeric distribution + 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 analytical reports: (1) a numeric distribution (histogram/summary stats) for the chosen field (reviewed_records or changed_labels) across all supplied rows, and (2) a date-by-category pivot table showing values aggregated by date and dataset_group — all computed locally from the supplied data, no external lookups.
Example use cases
Annotation quality audit by team
“I have 150 rows of label review records from three dataset groups — 'team-alpha', 'team-beta', and 'team-gamma' — with dates and counts of reviewed_records and changed_labels. Can you give me a numeric distribution of changed_labels and a date-by-category pivot so I can see which team is changing the most labels over time?”
ML pipeline label drift detection
“I need to understand how my reviewed_records are distributed and how they trend by category and date across my label review batches. Here are my 80 rows with row_id, dataset_group, date, reviewed_records, and changed_labels — run the numeric distribution and date pivot reports on reviewed_records for me.”
Monthly label review summary report
“Can you summarize last month's label review data for me? I'll provide about 60 rows — each has a row_id, a dataset_group like 'images' or 'text', a date, and counts for reviewed_records and changed_labels. I want a distribution of reviewed_records and a pivot of those counts broken down by dataset_group and date.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-083?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have label review data (reviewed_records and changed_labels) organized by dataset_group and date, and need both a numeric distribution and a date-by-category pivot in a single low-cost call. Ideal for ML annotation pipelines, data labeling quality audits, or any workflow needing offline analytical summaries without external data access. At $0.01 USDC for two reports on up to 200 rows, it is cost-effective for batch analytical summarization of annotation metrics.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) on any row — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — schema rejection
- Invalid field enum value (must be 'reviewed_records' or 'changed_labels') — error response
- Payment of 0.01 USDC not fulfilled — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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