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Label Review Analytics: Category Frequencies + Keyed Dataset Comparison
x402
Label Review Analytics: Category Frequencies + 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).
Analyzes label review records to produce two reports: category frequency breakdowns and a keyed comparison between two datasets, using local analytical engines on up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Category frequencies + Keyed dataset comparison: Category frequencies + 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) category frequency counts showing how often each dataset_group appears and aggregate stats on reviewed_records and changed_labels; (2) a keyed row-by-row comparison between the primary and secondary datasets highlighting differences in the numeric fields, all computed locally without any external lookup or prediction.
Example use cases
Annotation batch quality audit
“I have two rounds of label review data for October — each row has a dataset_group, date, reviewed_records, and changed_labels. Can you give me the category frequency breakdown and compare the two batches row-by-row to spot discrepancies?”
Label change rate by group
“Here are my label review logs split into group-a and group-b across two weeks. Can you calculate how frequently each category appears and compare this week's numbers against last week's to see where label changes spiked?”
Annotation pipeline consistency check
“I'm auditing two annotation pipelines — both have the same row IDs but different reviewed_records and changed_labels counts. Can you run a category frequency report on the primary set and do a keyed comparison against the secondary set to find mismatches?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-111?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a category frequency breakdown and a keyed cross-dataset comparison on label review records in a single cheap call (0.01 USDC). It is ideal for ML/annotation pipelines where you want to audit labeling consistency across two batches of up to 200 rows without external API calls, live predictions, or professional assessment. Prefer alternatives if you need more than 200 rows, need prediction or enrichment, or only need one of the two report types.
Side effects
- More than 200 rows submitted — request rejected, must trim input
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Numeric fields outside allowed range (±1,000,000,000,000) — rejected
- Empty rows array — minimum 1 item required
- Payment of 0.01 USDC not completed — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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