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Label Review Analytics — Grouped Numeric Summary + Adjacent Row Changes
x402
Label Review Analytics — Grouped Numeric Summary + Adjacent Row Changes 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).
Produces two analytical reports for label review data: a grouped numeric summary by dataset group and an adjacent row change series for reviewed_records or changed_labels fields, processing up to 200 rows locally.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + Adjacent row changes 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 co-generated reports: (1) a grouped numeric summary aggregating reviewed_records or changed_labels statistics broken down by dataset_group, and (2) an adjacent row changes series showing the delta between consecutive rows for the selected field — all computed locally from the supplied rows, with no external data fetched.
Example use cases
Annotation batch quality review
“I just finished a week of label reviews across three dataset groups and I have about 80 rows of data with dates, reviewed_records counts, and changed_labels. Can you group the numbers by dataset group and also show me how reviewed_records changed from one row to the next?”
Label correction trend monitoring
“Here are 150 rows of daily label review records across groups 'model-v1' and 'model-v2' — give me a grouped summary of changed_labels per group and show the adjacent row changes for changed_labels so I can spot where corrections spiked.”
Dataset review session comparison
“I want to compare how my two annotation teams performed this sprint — I have 60 rows with dataset_group set to either 'team-a' or 'team-b', plus reviewed_records and changed_labels per day. Run the grouped numeric summary and the adjacent row changes report on reviewed_records for me.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-091?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have label review or annotation quality data structured with dataset groups, dates, reviewed record counts, and changed label counts, and you need both a grouped aggregate summary AND a sequential row-change series in a single low-cost call. It is ideal for ML ops teams monitoring annotation batches, QA pipelines checking labeling consistency, or data scientists tracking label correction rates over time — without needing any live data lookup, model prediction, or external enrichment.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array not accepted (minItems: 1)
- Invalid field selector (must be 'reviewed_records' or 'changed_labels')
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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