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Label Review Analytics: Duplicate Key Report + Keyed Dataset Comparison
x402
Label Review Analytics: Duplicate Key Report + 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 2026-10-15).
Runs two analytical reports on label review data: a duplicate key detection report and a keyed comparison between two datasets, for up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Duplicate key report + Keyed dataset comparison: Duplicate key report + 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 duplicate key report identifying any row_ids that appear more than once in the primary dataset, and (2) a keyed dataset comparison highlighting rows that differ, are missing, or are added between the primary and comparison datasets, based on row_id as the key.
Example use cases
Auditing annotation batch for duplicate keys
“I have a batch of 150 label review records from this week with row IDs, dataset groups, dates, reviewed_records counts, and changed_labels — can you run a duplicate key report to find any repeated row_ids before I merge them into production?”
Comparing two annotation dataset snapshots
“I've got two versions of our labeling dataset — the one we submitted last Monday and the updated one from today, both with the same schema (row_id, dataset_group, date, reviewed_records, changed_labels). Can you compare them side by side to show me which rows changed between the two?”
Validating label review exports before pipeline ingestion
“Before I feed these two label review CSVs into our training pipeline, can you check the primary dataset for any duplicate row keys and also diff it against our reference dataset to catch any unexpected changes in reviewed_records or changed_labels?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-069?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to audit label review or annotation datasets for duplicate row keys and/or diff two versions of a keyed dataset without requiring external lookups or ML predictions. It is specifically designed for the reviewed_records and changed_labels schema common in data labeling workflows, handling up to 200 rows per call with two reports bundled at a flat $0.01 USDC cost. Prefer this over generic data-diff tools when your data fits the label review domain schema.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Rows missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Empty rows array — minItems constraint violated
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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