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Label Review Analytics: Category Frequencies & Numeric Row Ordering
x402
Label Review Analytics: Category Frequencies & Numeric Row Ordering 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).
Computes category frequency distributions and numeric row ordering for up to 200 label review records, returning two independent analytical reports in a single call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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
Two independent analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the supplied rows, and (2) a numeric row ordering of all submitted records ranked by the chosen field (reviewed_records or changed_labels). Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ML team label audit summary
“We've got about 80 label review records across four dataset groups — can you show me how frequently each group appears and sort the rows by reviewed_records so I can see which ones had the most reviews?”
Tracking label change rates across groups
“Here are 120 label review entries with dates and changed_labels counts — give me a frequency report by dataset_group and order the rows numerically by changed_labels so I can spot where label corrections are concentrated.”
Daily label review pipeline QA
“I need to QA today's label review batch of 60 records — can you compute the category frequencies for dataset_group and rank all rows by reviewed_records count so I can prioritize the high-volume ones?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-100?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a categorical frequency breakdown and a numeric row ranking for label review data in a single low-cost call. Ideal for ML data labeling pipelines that need quick QA reports on review batches up to 200 rows without requiring any external data sources, predictions, or live lookups. Prefer this over general analytics tools when working specifically with label review records structured around dataset_group, reviewed_records, and changed_labels fields.
Side effects
- Submitting more than 200 rows returns an error — batch must be split
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) on any row causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers pattern validation error
- Numeric fields outside the allowed range (±1,000,000,000,000) are rejected
- Empty rows array is not accepted — at least 1 row required
- Invalid field enum value (not 'reviewed_records' or 'changed_labels') causes error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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