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Label Review Analytics — Grouped Numeric Summary + Base-100 Series
x402
Label Review Analytics — Grouped Numeric Summary + 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).
Generates two analytical reports from label review data: a grouped numeric summary and a base-100 indexed time series for reviewed_records or changed_labels, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Grouped numeric summary + Base-100 series: Grouped numeric summary + 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 computed locally from the supplied rows: (1) a grouped numeric summary aggregating reviewed_records and changed_labels by dataset_group, and (2) a base-100 indexed time series for the selected field (reviewed_records or changed_labels), normalizing values relative to the row at base_index. No external data is fetched or predicted.
Example use cases
Track annotation quality trends over time
“I have 150 rows of label review records with dates, dataset groups, reviewed_records, and changed_labels. Can you give me a base-100 series on 'changed_labels' starting from row index 0, so I can see how label change rates have evolved relative to the starting point?”
Compare label review volumes across teams
“My ML team has label review data across three dataset groups. Can you produce a grouped numeric summary so I can see total reviewed_records and changed_labels per group and understand which team is reviewing the most and changing the most labels?”
Spot label correction spikes in a review cycle
“Here's our monthly label review export — about 80 rows covering two dataset groups over three months. Run the grouped summary and a base-100 series on 'reviewed_records' indexed from the first entry so I can spot any spikes or dips in our annotation correction rate.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-092?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of label review data (with dataset_group, date, reviewed_records, changed_labels) and need both a grouped summary and a normalized base-100 trend series in a single low-cost call. Ideal for ML/data teams auditing annotation quality without needing live data lookup, predictions, or external enrichment.
Side effects
- Fewer than 1 row or more than 200 rows supplied — request rejected
- Invalid date format (must match YYYY-MM-DD pattern)
- base_index out of range (must be 0–199 and within actual row count)
- Null values in reviewed_records or changed_labels may affect aggregation accuracy
- field value not one of 'reviewed_records' or 'changed_labels' — schema validation error
- row_id missing or exceeding 80 characters — rejected per schema constraints
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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