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Label Review Analytics — Numeric Row Ordering + Numeric Interval Filter
x402
Label Review Analytics — Numeric Row Ordering + 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).
Sorts label review records by a numeric field and filters rows within a specified numeric interval, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Numeric row ordering + Numeric interval filter: Numeric row ordering + 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 reports: one with rows numerically ordered by the selected field (reviewed_records or changed_labels), and one with rows filtered to only those where the selected field value falls within the specified minimum–maximum interval. Up to 200 input rows are supported per call.
Example use cases
Prioritize high-activity annotation batches
“I have 80 label review records across multiple dataset groups and I want to rank them by reviewed_records from highest to lowest, and also filter down to only the rows where reviewed_records falls between 15 and 75 — can you run both analyses?”
Audit changed labels within acceptable range
“Run a numeric sort on my label review data by changed_labels, and also filter to only rows where changed_labels is between 0 and 5, so I can spot any anomalies — I'll paste in my 40 rows.”
Slice annotation review data for a date range report
“I've got label review records for group-a and group-b for October 2026 and I need them sorted by reviewed_records, plus a filtered view showing only rows with reviewed_records between 20 and 100.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-113?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both numeric row ordering and interval-based filtering on label review data (reviewed_records or changed_labels) in a single call. It is ideal for ML annotation workflows, data quality audits, and label change monitoring where you want ranked and range-bounded views of the same dataset without building custom sort/filter logic. Best for datasets up to 200 rows where no live lookup or external data enrichment is needed.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format in row data — must match YYYY-MM-DD pattern
- Minimum value greater than maximum value — may return empty interval filter result
- Null numeric values in the target field — rows may be excluded or handled as missing
- Missing required row fields (row_id, reviewed_records, changed_labels) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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