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Label Review — Numeric Distribution + Base-100 Series
x402
Label Review — Numeric Distribution + Base-100 Series 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 numeric distribution report and a base-100 index series for label review data (reviewed_records and changed_labels), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Numeric distribution + Base-100 series: Numeric distribution + Base-100 series 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 summarizing the statistical spread of the selected field (reviewed_records or changed_labels) across the supplied rows, and (2) a base-100 index series showing each row's value relative to the chosen base row, both computed locally without external lookups or predictions. Up to 200 rows processed per call.
Example use cases
ML label audit trend analysis
“I have a week's worth of label review records across two dataset groups — can you compute the numeric distribution and a base-100 series for 'reviewed_records' so I can see how review volume is trending relative to the first day?”
Changed labels distribution check
“Run a numeric distribution and base-100 index series on my changed_labels data from the last 30 label review sessions — use row 0 as the base and group by dataset_group so I can spot anomalies.”
Dataset group label quality comparison
“I've got label review records for two dataset groups from October and want to compare how 'changed_labels' is distributed and indexed over time — can you generate both the numeric distribution and the base-100 series with the base at index 0?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-078?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a statistical distribution and a base-100 trend index for label review metrics (reviewed_records or changed_labels) on a batch of up to 200 rows, without requiring any external data lookups, predictions, or professional assessments. It is especially well-suited for ML pipeline quality reviews, label audit reporting, and dataset group comparisons where two complementary analytical views are needed in a single low-cost call.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required row fields (row_id, date, reviewed_records, changed_labels) causes validation error
- Invalid date format (must match YYYY-MM-DD) causes schema rejection
- base_index out of range (must be 0–199 and within actual row count) causes computation error
- All values null for selected field yields degenerate or empty distribution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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