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Label Review Analytics — Record Quality Audit & Secondary-Measure Weighted Mean
x402
Label Review Analytics — Record Quality Audit & 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).
Performs a record quality audit and secondary-measure weighted mean calculation on label review data (reviewed_records, changed_labels) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Record quality audit + Secondary-measure weighted mean: Record quality audit + 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 independent analytical reports: (1) a record quality audit covering data completeness, validity, and anomaly flags for the supplied label review rows, and (2) a secondary-measure weighted mean calculated over the specified field (reviewed_records or changed_labels), segmented by dataset_group and date. No external lookups or predictions are made — all analysis is performed on the supplied data only.
Example use cases
Annotation batch quality check
“I just finished a labeling sprint across two dataset groups. Can you audit the record quality and compute a weighted mean for reviewed_records across these 8 rows of label review data, grouped by date and team?”
Label change rate analysis
“I want to understand how often labels are being changed relative to records reviewed. Run a quality audit and secondary-measure weighted mean on my changed_labels field for these 50 label review rows across group-a and group-b.”
Multi-group annotation pipeline review
“We have 150 label review records from three dataset groups over the past month. Can you give me a record quality audit and a weighted mean breakdown using the reviewed_records field so I can compare group performance?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a record quality audit and a weighted mean calculation on label review data in a single call for up to 200 rows. It is purpose-built for annotation and data labeling pipeline analytics, combining two analytical reports at low cost ($0.01 USDC). Prefer it over general analytics tools when your data is already structured around reviewed_records and changed_labels fields with dataset_group segmentation and you want offline, supply-data-only analysis with no external dependencies.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, reviewed_records, changed_labels) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null or out-of-range numeric values may be excluded from weighted mean computation
- Invalid enum value for 'field' parameter — error returned
- Empty rows array — minimum 1 row required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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