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Label Review Analytics — Numeric Row Ordering & Daily Sum Series
x402
Label Review Analytics — Numeric Row Ordering & Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Computes numeric row ordering and daily sum time series for label review data (reviewed_records, changed_labels) from up to 200 supplied rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum series 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 analytical reports: (1) a numeric row ordering of the supplied rows ranked by the selected field (reviewed_records or changed_labels), and (2) a daily sum time series aggregating the selected field by date — all computed locally from the supplied data with no external lookups.
Example use cases
Daily annotation throughput trend
“I've got 4 months of label review logs with dates and reviewed_records counts per row — can you give me both a numeric ranking of the rows and a daily sum series for reviewed_records so I can see which days had the highest annotation throughput?”
Changed labels spike detection
“Here's my label QA data for Q3 with changed_labels values per review session — please rank all the rows by changed_labels and also aggregate them into a daily total series so I can spot any days with unusually high label changes.”
Multi-group review activity summary
“I have label review records from two dataset groups over the past month. Can you sort them by reviewed_records numerically and produce a day-by-day sum of reviewed_records so I can compare activity levels across dates?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-114?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have label review tabular data and need two simultaneous lightweight analytical outputs — numeric row ranking and daily sum aggregation — without needing any live data lookups, ML predictions, or external integrations. It is especially useful for annotation pipeline QA, data labeling audits, or reviewing daily throughput patterns in ML dataset preparation workflows, and it handles up to 200 rows per call at minimal cost.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Null values in the selected field may be excluded from aggregations
- Missing required fields (row_id, date, reviewed_records, changed_labels) cause validation errors
- Empty rows array rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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