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Label Review Analytics: Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
Label Review Analytics: Numeric Interval Filter + Secondary-Measure Weighted Mean 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).
Filters label review records by a numeric interval on a chosen field and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean 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) a numeric interval filter report listing all rows where the chosen field (reviewed_records or changed_labels) falls within the specified [minimum, maximum] range, and (2) a secondary-measure weighted mean report computing the weighted average of the other measure across those filtered records. Covers up to 200 input rows with no external lookups.
Example use cases
Annotation batch quality review
“I have 80 label review records from last month across several dataset groups — filter to rows where reviewed_records is between 5 and 50, and give me a weighted mean of changed_labels so I can see where the most label churn is happening.”
Outlier detection in labeling pipeline
“Can you run the interval filter on my label review data for changed_labels between 0 and 10, and compute the weighted mean of reviewed_records for those filtered rows? I want to spot unusually low-change batches.”
Dataset group comparison by review volume
“I've got 150 label review records split across group-a and group-b — filter to rows where reviewed_records falls between 20 and 100 and give me both the interval filter report and the weighted mean of changed_labels.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have label review tabular data (up to 200 rows) with reviewed_records and changed_labels metrics and need both a range-filtered subset and a weighted mean computed in a single call. Ideal for annotation quality analysis, labeling pipeline audits, and dataset group comparisons where you want two complementary analytical views — interval filtering and weighted averaging — without needing a full BI tool or live data connection.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, reviewed_records, changed_labels) cause row-level errors
- Date fields not matching YYYY-MM-DD pattern will fail validation
- Minimum greater than maximum produces an empty filtered result set
- Null numeric values in reviewed_records or changed_labels may be excluded from weighted mean calculation
- All rows filtered out by interval results in undefined weighted mean
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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