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Label Review Analytics — Exact Row Deduplication + Numeric Row Ordering
x402
Label Review Analytics — Exact Row Deduplication + Numeric Row Ordering 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).
Deduplicates exact rows and produces a numerically ordered ranking report for label review records (reviewed_records or changed_labels), processing up to 200 rows in two bundled analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering 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 are returned: (1) an exact row deduplication report identifying and removing fully identical rows from the input, and (2) a numerically ordered row report ranking the input rows by the chosen numeric field (reviewed_records or changed_labels). Both reports operate solely on the supplied data with no external lookups.
Example use cases
Cleaning duplicate annotation review logs
“I've got my label review dataset with about 80 rows including row_id, dataset_group, date, reviewed_records, and changed_labels — some entries look like exact duplicates. Can you remove the exact duplicate rows and give me a clean deduplicated report?”
Ranking datasets by annotation change volume
“I have 120 label review records across multiple dataset groups with dates and changed_labels counts. Can you sort and rank them numerically by the changed_labels field so I can see which groups had the most label changes?”
QA audit of labeling pipeline throughput
“I need to audit our labeling pipeline — here are 60 rows of review records with reviewed_records and changed_labels values. Run exact deduplication and give me a numeric ordering by reviewed_records so I can spot anomalies.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-042?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two specific analytical operations on label review data simultaneously — exact duplicate row detection and numeric ordering — delivered as a single low-cost call. It is ideal when your data is self-contained (no external enrichment needed) and fits within 200 rows. Prefer this over general-purpose analytics tools when you specifically work with annotation or label review pipelines tracking reviewed_records and changed_labels metrics.
Side effects
- Input array is empty or missing — returns validation error
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- field enum value not in ['reviewed_records','changed_labels'] — rejected
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- row_id missing or empty string — required field violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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