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Label Review Analytics: Exact Row Deduplication + Base-100 Series
x402
Label Review Analytics: Exact Row Deduplication + 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 2026-10-23).
Performs exact row deduplication and Base-100 series indexing on label review records (reviewed_records and changed_labels fields) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Exact row deduplication + Base-100 series: Exact row deduplication + 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 reports: (1) an exact row deduplication report identifying and removing duplicate rows from the submitted label review data, and (2) a Base-100 indexed time series for the selected field (reviewed_records or changed_labels), rebased at the specified base_index row. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ML annotation audit deduplication
“I have 120 label review rows from our annotation pipeline across groups alpha and beta — can you deduplicate them exactly and give me a Base-100 series for the changed_labels field, rebased to row 0?”
Label change trend indexing
“Run a Base-100 index on my reviewed_records data for the month of November 2026 across three dataset groups, starting from the first row, so I can see relative growth trends — and remove any duplicate rows first.”
Data quality report for review batches
“I've got 80 label review records with dates, group names, reviewed_records counts, and changed_labels counts — please deduplicate the exact rows and index reviewed_records to base 100 starting at row index 0 so I can compare across groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-047?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both duplicate-row elimination and a Base-100 normalized index series on label review data in a single low-cost call. It is ideal for ML annotation teams auditing review pipelines where data integrity (deduplication) and relative trend analysis (base indexing) are both required on the same dataset of up to 200 rows. It is not suitable for live data lookup, predictive modeling, or datasets exceeding 200 rows.
Side effects
- Exceeds 200-row limit — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- base_index out of range (0–199) — error returned
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) — schema validation failure
- Null numeric values may affect Base-100 calculation if base row has null
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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