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Label Review Analytics: Numeric Row Ordering + Base-100 Series
x402
Label Review Analytics: Numeric Row Ordering + 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 2026-10-24).
Generates two analytical reports — numeric row ordering and a base-100 index series — for label review records containing reviewed_records and changed_labels metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Numeric row ordering + Base-100 series: Numeric row ordering + 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
Two analytical reports: (1) a numeric row ordering of the supplied label review rows ranked by the chosen field (reviewed_records or changed_labels), and (2) a base-100 index series showing each row's value relative to the designated base row, both computed locally on the supplied data with no external lookups.
Example use cases
Annotation team weekly progress ranking
“I want to rank my annotation team's label review sessions for the past week — I have 8 rows across two dataset groups with dates, reviewed_records counts, and changed_labels. Can you give me a numeric row ordering and a base-100 series using changed_labels as the field, starting from the first row as the base?”
Dataset group comparison with index normalization
“I've got label review data for two dataset groups over 5 dates and I want to see both a ranked ordering and a base-100 indexed series for reviewed_records starting from row index 0 — can you run the two analytics reports on my 10 rows?”
QA audit of label changes across annotation batches
“Please analyze these 15 label review records from our QA audit — each has a date, dataset_group, reviewed_records, and changed_labels — and produce a numeric row ordering plus a base-100 series using changed_labels, with row 2 as the base index.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-117?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have label review or annotation quality data (up to 200 rows with reviewed_records and changed_labels fields) and need both a ranked row ordering and a base-100 indexed series in a single low-cost call ($0.01 USDC). It is ideal for ML teams tracking annotation throughput and label change rates across dataset groups without needing live predictions, external data, or professional assessments.
Side effects
- Exceeding 200 rows causes rejection — the endpoint accepts a maximum of 200 input rows
- Missing required fields (row_id, date, reviewed_records, changed_labels) per row will cause validation errors
- Invalid date format (must match YYYY-MM-DD) will fail schema validation
- base_index out of range (must be 0–199 and within actual row count) causes an error
- Null values in both reviewed_records and changed_labels for all rows may produce empty or degenerate output
- Payment failure or insufficient USDC balance will block the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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