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Label Review Analytics: Daily Sum Series + Secondary-Measure Weighted Mean
x402
Label Review Analytics: Daily Sum Series + 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).
Computes a daily sum time series and a secondary-measure weighted mean from supplied label review records (reviewed_records, changed_labels) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Daily sum series + Secondary-measure weighted mean: Daily sum series + 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) a daily sum time series aggregating the selected field (reviewed_records or changed_labels) by date, and (2) a secondary-measure weighted mean of the alternate field weighted by the primary measure — all computed locally from the supplied row data, no external lookups.
Example use cases
Daily labeling throughput trend analysis
“I have a week of label review logs with dates, dataset groups, reviewed_records, and changed_labels — can you compute the daily sum series for reviewed_records so I can see our throughput trend over the week?”
Label change rate quality audit
“For my label QA audit, can you calculate the weighted mean of changed_labels weighted by reviewed_records across these 50 review session rows? I want to know the overall weighted rate of label changes.”
Multi-group annotation consistency check
“I've got 120 rows of annotation review data across three dataset groups with dates, reviewed_records, and changed_labels — run both reports: the daily sum series and the weighted mean of changed_labels, using reviewed_records as the secondary measure.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-142?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have label review tabular data (up to 200 rows) and need both a daily aggregated time series and a weighted mean statistic in a single low-cost call ($0.01 USDC for both reports). Prefer it over general-purpose analytics when your data schema specifically matches the reviewed_records/changed_labels MLOps label audit pattern and you want offline computation without external data lookups.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, reviewed_records, changed_labels) cause validation error
- Invalid date format (non-YYYY-MM-DD) rejected by schema pattern
- Numeric values outside allowed range (-1e12 to 1e12) cause schema validation failure
- Empty rows array (minItems:1 not met) returns error
- Invalid field enum value (not reviewed_records or changed_labels) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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