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Label Review Analytics — Duplicate Key Report + Numeric Interval Filter
x402
Label Review Analytics — Duplicate Key Report + Numeric Interval Filter 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 detection report and a numeric interval filter on reviewed_records or changed_labels, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Duplicate key report + Numeric interval filter: Duplicate key report + Numeric interval filter 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 rows with repeated row_id values across the submitted dataset, and (2) a numeric interval filter listing rows where the chosen field (reviewed_records or changed_labels) falls within the specified minimum and maximum bounds. No external data is fetched; all analysis is performed locally on the supplied rows.
Example use cases
Audit annotation batch for duplicate IDs
“I have a batch of 150 label review records with row IDs, dataset groups, dates, reviewed record counts, and changed label counts — can you run a duplicate key report to find any repeated row IDs, and also filter the reviewed_records field to only show rows between 5 and 100?”
QA filter on changed labels range
“Run two reports on my label review CSV data: first, flag any duplicate row keys; second, filter the changed_labels field to only include rows where the value is between 1 and 50. I have about 80 rows across three dataset groups.”
Weekly review data integrity check
“Every week I export label review records with row IDs, dates, and both reviewed_records and changed_labels counts — can you check for duplicate row_id keys in this week's 60 rows, and also give me only the rows where reviewed_records falls between 10 and 200?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-059?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously audit a label review dataset for duplicate row identifiers and filter rows by a numeric range on either the reviewed_records or changed_labels field, all within a single $0.01 call covering up to 200 rows. It is ideal for data quality checks on annotation or ML labeling pipelines where no external lookup or live data is needed — just local, deterministic analysis of supplied records.
Side effects
- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the row limit
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- minimum greater than maximum produces an empty or invalid interval filter result
- Null values in the selected numeric field may be excluded from interval filter results
- Invalid field enum value (not reviewed_records or changed_labels) causes a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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