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Label Review Analytics: Exact Row Deduplication + Two-Measure Correlation
x402
Label Review Analytics: Exact Row Deduplication + Two-Measure Correlation 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).
Deduplicates exact duplicate rows and computes correlation between reviewed_records and changed_labels metrics for up to 200 label review records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation 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: (1) an exact row deduplication report identifying and removing fully duplicate rows from the submitted data, and (2) a two-measure correlation report computing the statistical relationship between reviewed_records and changed_labels across the submitted rows — all computed locally from the supplied data with no external lookups.
Example use cases
Cleaning duplicate label review logs
“I have 80 rows of label review data across multiple dataset groups and dates — can you remove any exact duplicate rows and show me what was cleaned up? Each row has a row_id, date, dataset_group, reviewed_records count, and changed_labels count.”
Measuring label change rate vs review volume
“I want to understand if there's a meaningful correlation between how many records our team reviews and how many labels they actually change — I have 120 rows of review session data with reviewed_records and changed_labels columns, can you run the correlation analysis?”
Audit label review session data quality
“Can you check my label review session logs for exact duplicate entries and also compute the correlation between reviewed_records and changed_labels? I have about 150 rows spanning October and November 2026 across group-a and group-b datasets.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-050?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact-duplicate removal and a two-metric correlation analysis on label review data in a single low-cost call. It is ideal for ML/data teams auditing annotation pipelines who want lightweight, offline statistical analysis without sending data to external prediction or lookup services. Best when your dataset is under 200 rows and contains reviewed_records and changed_labels fields.
Side effects
- Input exceeds 200 rows — API rejects with validation error
- Missing required fields (row_id, date, reviewed_records, changed_labels) cause schema validation failure
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Numeric values outside allowed range (-1e12 to 1e12) rejected
- Insufficient variation in measures may result in undefined or degenerate correlation output
- Empty rows array rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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