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Label Review — Exact Row Deduplication + Keyed Dataset Comparison
x402
Label Review — Exact Row Deduplication + 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).
Deduplicates label review records by exact row matching and compares two keyed datasets to surface differences across reviewed_records and changed_labels fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Exact row deduplication + Keyed dataset comparison: Exact row deduplication + 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) an exact row deduplication report identifying duplicate rows in the primary dataset, and (2) a keyed dataset comparison report showing row-level differences between the primary and secondary datasets matched by row_id, dataset_group, and date — covering discrepancies in reviewed_records and changed_labels values. No external lookups or predictions are made; all analysis runs on the supplied data only.
Example use cases
Deduplicating label annotation exports
“I exported label review records from two annotators and I think there are duplicate rows — can you run exact deduplication on my primary set and also compare it key-by-key against the second export to see what changed? I have about 150 rows each with a row_id, dataset_group, date, reviewed_records count, and changed_labels count.”
Auditing label dataset versions
“We ran a second pass of label review and I want to know which records changed — please deduplicate the new batch and do a keyed comparison against the original 80-row dataset, matching on row_id and dataset_group, so I can see where reviewed_records or changed_labels differ.”
Pre-merge label quality check
“Before I merge two label review datasets, can you check the primary 120-row set for exact duplicate rows and then compare it against the 120-row secondary set by key to flag any mismatches in reviewed_records or changed_labels values?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-053?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact row deduplication and a keyed side-by-side comparison of two label review datasets in a single low-cost call. It is specifically designed for label review records with reviewed_records and changed_labels metrics. Prefer this over general-purpose analytics when your data fits the label review schema and you want two reports for $0.01 USDC without any external API calls or predictions.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside allowed range (-1T to +1T) cause validation failure
- Empty rows array returns error
- Mismatched row_ids between primary and secondary dataset result in unmatched rows in comparison report
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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