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Label Review Analytics — Duplicate Key Report + Trailing Mean Series
x402
Label Review Analytics — Duplicate Key Report + Trailing Mean 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).
Runs two analytical reports on label review data: a duplicate key report and a trailing mean series, for up to 200 rows of reviewed_records or changed_labels data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Duplicate key report + Trailing mean series: Duplicate key report + Trailing mean 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: (1) a duplicate key report identifying any repeated row_id values across the supplied rows, and (2) a trailing mean series computed over the specified window for the chosen numeric field (reviewed_records or changed_labels), across up to 200 input rows.
Example use cases
Detect duplicate row IDs in annotation logs
“I have a CSV of label review records with row IDs, dates, dataset groups, and counts of reviewed records and changed labels — can you run a duplicate key report on it to find any repeated row IDs? There are about 80 rows.”
Rolling average for label change volume
“Can you compute a trailing mean series with a window of 7 for the changed_labels field across my 150-row label review dataset, grouped by date and dataset_group?”
QA audit of multi-group annotation review
“We have two dataset groups — 'vision-a' and 'vision-b' — and I want both a duplicate key check and a trailing mean (window of 4) on reviewed_records across our 120 daily label review records to validate data quality before our next model training run.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-061?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two lightweight, supply-data-only analytical operations on label review records in a single call: duplicate key detection plus a rolling mean series. It is ideal for data quality audits of annotation pipelines where you need to check for repeated keys and visualize smoothed trends in reviewed or changed label counts, without any external lookup or prediction. Best suited for datasets of up to 200 rows where both reports are needed together at low cost.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, reviewed_records, changed_labels) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Window parameter outside 2–200 range — rejected
- Numeric field values outside allowed range — rejected
- Empty rows array — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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