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Label Review Analytics: Grouped Numeric Summary + Keyed Dataset Comparison
x402
Label Review Analytics: Grouped Numeric Summary + Keyed Dataset Comparison 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 a grouped numeric summary and a keyed dataset comparison for label review records (reviewed_records and changed_labels) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Grouped numeric summary + Keyed dataset comparison: Grouped numeric summary + Keyed dataset comparison 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 independent analytical reports: (1) a grouped numeric summary breaking down the chosen field (reviewed_records or changed_labels) by dataset_group, and (2) a keyed dataset comparison that aligns rows from the primary and secondary datasets by row_id to highlight differences — all computed locally with no external lookups.
Example use cases
Auditing label change rates by group
“Here are my label review logs for October grouped into 'group-a' and 'group-b' — can you give me a grouped numeric summary of changed_labels so I can see which group had more corrections?”
Before-and-after label review comparison
“I have two snapshots of my label review data — one from last sprint and one from this sprint. Can you run a keyed dataset comparison on reviewed_records to see which rows changed between the two?”
QA pipeline label audit across annotators
“My QA team has two separate label review batches from different annotators. Can you compute a grouped numeric summary plus a keyed comparison of both batches on the changed_labels field so I can identify discrepancies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-098?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a grouped aggregate summary and a cross-dataset row-level comparison for label review data in a single $0.01 call, without needing real-time lookups or external predictions. Ideal for ML labeling workflows, annotation audits, and QA pipelines where you want to compare two dataset versions and understand per-group numeric distributions simultaneously.
Side effects
- Exceeding 200 rows causes rejection
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array fails minItems constraint
- Mismatched row_ids between primary and comparison datasets may reduce keyed comparison coverage
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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