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Label Review Analytics: Equal-Width Histogram + Secondary-Measure Weighted Mean
x402
Label Review Analytics: Equal-Width Histogram + Secondary-Measure Weighted Mean 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).
Generates two analytical reports — an equal-width histogram and a secondary-measure weighted mean — for label review records (reviewed_records and changed_labels) over up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Equal-width histogram + Secondary-measure weighted mean: Equal-width histogram + Secondary-measure weighted mean 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) an equal-width histogram showing the frequency distribution of the selected primary field (reviewed_records or changed_labels) across the specified number of bins, and (2) a secondary-measure weighted mean computed from the supplied label review rows. Both reports are generated locally without external lookups.
Example use cases
ML annotation audit distribution analysis
“I need to analyze how our reviewed_records are distributed across 10 equal-width bins for our label review batch — here are 50 rows with row_id, date, dataset_group, reviewed_records, and changed_labels. Use reviewed_records as the primary field.”
Weighted label change rate summary
“Can you compute the secondary-measure weighted mean for changed_labels weighted by reviewed_records across my 120-row label review export? I want to understand the average rate of label changes relative to how many records were reviewed.”
Dataset group label quality comparison
“I have label review records from two dataset groups over the past month — about 80 rows total. Run me a 7-bin histogram on reviewed_records and also give me the weighted mean of changed_labels so I can compare quality across groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-172?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 label review records and need both a binned frequency distribution and a weighted mean statistic in a single low-cost call. It is ideal for ML data quality audits, annotation review sessions, or dataset group comparisons where you want local statistical analysis without any external data lookups or predictions.
Side effects
- Rows array is empty or missing required fields (row_id, date, reviewed_records, changed_labels)
- More than 200 rows submitted — exceeds the maximum row limit
- Invalid date format (must be YYYY-MM-DD)
- bins parameter out of range (must be 1–30)
- Null values in numeric fields may affect histogram and weighted mean calculations
- Invalid field enum value (must be 'reviewed_records' or 'changed_labels')
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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