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Label Review Analytics: Category Frequencies + Base-100 Series
x402
Label Review Analytics: Category Frequencies + 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 category frequency distributions and a base-100 indexed series for label review data (reviewed_records and changed_labels) across up to 200 rows, returning two local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Category frequencies + Base-100 series: Category frequencies + 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 analytical reports: (1) a category frequency table showing how reviewed_records or changed_labels are distributed across dataset_group categories, and (2) a base-100 indexed series for the selected field anchored at the specified base_index row — all computed locally from the supplied data with no external lookups.
Example use cases
ML annotation audit by dataset group
“I have 120 rows of label review records split across three dataset groups with dates, reviewed_records, and changed_labels. Can you give me a category frequency breakdown and a base-100 trend series for reviewed_records, starting from row 0 as the base?”
Label change rate trend analysis
“Run a base-100 index series on my changed_labels field for these label review records — I want to see how label changes have trended relative to the first entry across my dataset groups.”
Annotation throughput frequency report
“I need a category frequency report for my label review dataset of 80 rows grouped by dataset_group, looking at the reviewed_records field — can you also give me the base-100 series starting at index 0?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-105?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a category frequency distribution and a base-100 indexed time series for label review data in a single call. It is ideal for ML/annotation teams auditing label quality, tracking label change rates across dataset groups, or benchmarking reviewed record volumes against a baseline period — all without sending data to an external prediction or lookup service.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, dataset_group, reviewed_records, changed_labels) cause validation errors
- base_index out of range (0–199) or exceeding actual row count
- Invalid date format (must be YYYY-MM-DD)
- Null values in the selected field may affect base-100 series computation
- Numeric values outside allowed range (±1,000,000,000,000) rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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