Label Review Analytics: Grouped Numeric Summary + Equal-Width Histogram 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).
Computes a grouped numeric summary and an equal-width histogram for label review data (reviewed_records and changed_labels) across up to 200 rows.
Label review — Grouped numeric summary + Equal-width histogram: Grouped numeric summary + Equal-width histogram 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.
Returns two analytical reports for the supplied label review records: (1) a grouped numeric summary breaking down statistics (e.g. count, mean, min, max) for the selected field (reviewed_records or changed_labels) by dataset_group, and (2) an equal-width histogram showing frequency distribution of the selected field divided into the specified number of bins (1–30, default 5). All computation is performed locally on the supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-093?utm_source=zero.xyzChoose this endpoint when you have label review or annotation pipeline data and need both a grouped statistical summary and a histogram in a single low-cost call. It is purpose-built for MLOps and data labeling workflows where you want to understand distribution and group-level differences in reviewed_records or changed_labels without setting up local analytics infrastructure. Prefer this over general-purpose analytics APIs when your data fits the label review schema and you need results fast for up to 200 rows.
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
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