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Label Review Analytics: Numeric Distribution & Category Frequencies
x402
Label Review Analytics: Numeric Distribution & Category Frequencies 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 numeric distribution statistics and category frequency counts for label review records (reviewed_records and changed_labels) across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies 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 numeric distribution summary for the selected field (reviewed_records or changed_labels), including statistics such as min, max, mean, median, and histogram-style buckets; and (2) a category frequency breakdown by dataset_group, showing how records are distributed across the distinct group labels in the supplied data.
Example use cases
ML label audit quality check
“I just finished a label review sprint across two dataset groups and have the daily counts of reviewed_records and changed_labels for the past 6 weeks. Can you compute the numeric distribution and category frequencies for reviewed_records so I can see how consistent the review throughput was across groups?”
Dataset group label change analysis
“Here are 150 rows of label review records across groups 'group-a' and 'group-b' with dates and changed_labels counts. Run the numeric distribution and category frequency reports on changed_labels so I can see where label flips are concentrated.”
Multi-batch review throughput summary
“I need a statistical summary of our label review pipeline — I have 200 rows with row_id, date, dataset_group, reviewed_records, and changed_labels. Give me the numeric distribution and category frequencies for reviewed_records across all batches.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-072?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 label review records with reviewed_records and changed_labels fields and need both a numeric distribution profile and a category frequency breakdown in a single low-cost call. Ideal for ML data pipeline audits, label quality monitoring, and dataset review throughput analysis where you supply your own data and need offline statistical summaries without any external lookups or predictions.
Side effects
- Rows array exceeds 200 items — 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 (±1,000,000,000,000) — rejected
- Empty rows array — minimum 1 item required
- Invalid field enum value (must be 'reviewed_records' or 'changed_labels') — error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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