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Label Review Analytics — Duplicate Key Report & Daily Sum Series
x402
Label Review Analytics — Duplicate Key Report & Daily Sum 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).
Runs two local analytical reports on label review data: a duplicate key report and a daily sum series for reviewed_records or changed_labels, up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Duplicate key report + Daily sum series: Duplicate key report + Daily sum 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 daily sum series aggregating the selected field (reviewed_records or changed_labels) by date. No external data is fetched; all computation is performed locally on the supplied rows.
Example use cases
Data quality check before ML training
“I have 150 label review records from our annotation pipeline — can you run a duplicate key report on the row IDs and give me a daily sum of changed_labels across dates so I can spot any data issues before training?”
Daily reviewed records trend for reporting
“Take these label review rows from last month and generate a daily sum series for reviewed_records and also flag any duplicate row IDs — I need both reports for our weekly QA meeting.”
Annotation audit for dataset group
“Here's a batch of up to 200 label review records across groups A and B — run a duplicate key check and a daily total series on reviewed_records so I can audit the annotation quality across dataset groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-060?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 label review records and need both a duplicate key check and a daily sum time series in a single $0.01 call, without requiring any live data lookup or external service. Ideal for ML annotation pipelines, data quality audits, and reporting workflows where the data is already on hand.
Side effects
- Missing required fields (row_id, date, dataset_group, reviewed_records, changed_labels) cause validation errors
- Exceeding 200 rows returns an error or truncation
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null numeric values may affect sum computations
- Unrecognized field enum values (not reviewed_records or changed_labels) return validation errors
- Empty rows array is rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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