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Label Review — Record Quality Audit + Category Frequencies
x402
Label Review — Record Quality Audit + 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).
Runs two local analytical reports on label review data: a record quality audit and category frequency analysis for reviewed_records and changed_labels, covering up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Record quality audit + Category frequencies: Record quality audit + 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 record quality audit highlighting completeness, anomalies, or issues in the supplied label review rows, and (2) a category frequency analysis showing the distribution of reviewed_records and changed_labels across dataset_group values — all computed locally with no external lookups.
Example use cases
ML annotation pipeline quality check
“I want to audit the quality of last week's label review — I have 5 rows of data with dataset groups 'images' and 'text', each with a date, number of reviewed records, and how many labels were changed. Can you give me a record quality audit and category frequency breakdown?”
Label change frequency by dataset group
“Can you analyze how frequently labels are being changed across my dataset groups? I have 8 rows of label review data spanning October with groups 'batch-A' and 'batch-B', reviewed record counts, and changed label counts per day — I want the category frequency report.”
Spotting data quality issues in review logs
“Run a quality audit on my label review logs — I've got 12 rows covering three dataset groups from 2026-09-01 to 2026-09-12, each with reviewed_records and changed_labels counts. Flag any quality issues and show me the category frequencies.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-006?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of label review data and need both a record quality audit and category frequency analysis in a single low-cost call ($0.01 USDC). It is ideal for ML/annotation pipelines where you want to assess data integrity and understand label change distributions across dataset groups without any external lookups or live model inference.
Side effects
- Empty rows array or missing required fields (row_id, date, reviewed_records, changed_labels) causes validation error
- More than 200 rows submitted exceeds the batch limit
- Date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside the allowed range (-1e12 to 1e12) are rejected
- Null values for reviewed_records or changed_labels may affect audit completeness
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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