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Label Review Analytics: Numeric Distribution + Adjacent Row Changes
x402
Label Review Analytics: Numeric Distribution + 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 2026-10-24).
Runs two local analytical reports on label review data — numeric distribution and adjacent row changes — for up to 200 rows of reviewed_records or changed_labels metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Numeric distribution + Adjacent row changes: Numeric distribution + 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
Returns two independent analytical reports: (1) a numeric distribution summary of the selected field (reviewed_records or changed_labels) across all supplied rows, and (2) an adjacent row changes report showing delta values between consecutive rows — all computed locally from the supplied data with no external lookups.
Example use cases
Spot anomalies in annotation batches
“I have 50 rows of label review data across several dataset groups from last month. Can you run a numeric distribution and adjacent row changes report on the reviewed_records field so I can see if any batches look abnormally large or show sudden jumps?”
Track labeling churn across review cycles
“Here are 120 rows of my label review history with dates, dataset groups, and changed_labels counts. Run both the distribution and adjacent-row-change reports on changed_labels so I can understand how volatile my label churn is across consecutive review sessions.”
QA check on annotation pipeline output
“My annotation team just completed a review cycle and I have 80 rows with reviewed_records and changed_labels. Can you generate a numeric distribution plus adjacent row changes analysis on reviewed_records to verify the pipeline is behaving consistently across groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-077?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need quick, local, self-contained analytical reports on label review tabular data without any external API calls or predictions — specifically when you want both a numeric distribution summary and row-to-row change analysis in a single $0.01 call for up to 200 rows.
Side effects
- More than 200 rows submitted — request exceeds row limit
- Missing required fields (row_id, date, reviewed_records, changed_labels) — validation error
- Date field not matching YYYY-MM-DD pattern — schema rejection
- Null values in numeric fields may affect distribution computation
- Invalid field enum value (must be 'reviewed_records' or 'changed_labels')
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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