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Label Review Analytics: Two-Measure Correlation + Secondary-Measure Weighted Mean
x402
Label Review Analytics: Two-Measure Correlation + 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 2026-10-24).
Computes Pearson/rank correlation between reviewed_records and changed_labels, and calculates a weighted mean for the secondary measure, across up to 200 label-review rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + 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 two-measure correlation result quantifying the statistical relationship between reviewed_records and changed_labels across the supplied rows, and (2) a secondary-measure weighted mean computed from the input data. Both are computed locally with no external lookups, covering up to 200 input rows.
Example use cases
Annotation team performance review
“I have daily label review records for two annotation groups over the past month — can you compute the correlation between reviewed_records and changed_labels, and give me the weighted mean of changed_labels for those rows?”
Dataset quality audit across groups
“I want to check if there's a meaningful statistical relationship between how many records my team reviews and how many labels they change — run the two-measure correlation report on this dataset of up to 50 rows from group-a and group-b.”
Labeling pipeline spot-check
“Run a correlation and weighted mean analysis on my label review logs for the week of October 1–7, 2026 across all dataset groups — I need both reports and the field I care about is reviewed_records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-181?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have label review tabular data (reviewed_records + changed_labels per row) and need both a correlation between the two measures and a weighted mean of the secondary measure in a single $0.01 call. It is purpose-built for annotation/labeling QA workflows with up to 200 rows and requires no external data sources. Prefer it over generic stats libraries when you need a hosted, payable analytics micro-service that bundles two related statistical reports in one call.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, reviewed_records, changed_labels) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Non-numeric values in reviewed_records or changed_labels — computation error
- All null values in a measure column — unable to compute correlation or mean
- Payment not included or insufficient USDC — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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