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Label Review — Numeric Interval Filter + Adjacent Row Changes
x402
Label Review — Numeric Interval Filter + Adjacent Row Changes 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).
Applies a numeric interval filter and detects adjacent row changes on label review data (reviewed_records, changed_labels) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Numeric interval filter + Adjacent row changes: Numeric interval filter + Adjacent row changes 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 analytical reports: (1) rows from the input dataset whose selected field (reviewed_records or changed_labels) falls within the specified [minimum, maximum] numeric interval, and (2) a list of adjacent row changes identifying where the selected field's value differs between consecutive rows, all computed locally from the supplied data without external lookups.
Example use cases
Audit annotation session outliers
“I've got a batch of label review logs from our annotation team — 80 rows with date, dataset_group, reviewed_records, and changed_labels. Can you filter reviewed_records to only the rows between 20 and 300, and flag where the value shifted between consecutive rows?”
Spot label churn in consecutive sessions
“Here are 150 label review records across two dataset groups. I want to see adjacent row changes in changed_labels and also which rows fall between a minimum of 0 and maximum of 15 changed labels — run both reports for me.”
Quality check on review throughput range
“I need to QA our label review throughput data — 60 rows with reviewed_records and changed_labels. Filter reviewed_records to the interval 50 to 250 and show me anywhere the count jumped or dropped between neighboring rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-127?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have label review tabular data and need two specific analytical views — numeric range filtering and consecutive-row change detection — computed together in a single $0.01 call. It is purpose-built for label annotation audit workflows and MLOps quality checks where you want to identify out-of-range records and detect sequential shifts without any external data lookups or ML predictions.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, reviewed_records, changed_labels) on any row — validation error
- minimum greater than maximum — may return empty interval filter result
- Non-date-formatted string in date field — schema validation failure
- Payment not completed via x402 — request blocked
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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