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Label Review Analytics — Exact Row Deduplication + Category Frequencies
x402
Label Review Analytics — Exact Row Deduplication + Category Frequencies 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 local analytical reports on label review data: exact row deduplication and category frequency analysis for reviewed_records and changed_labels fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Exact row deduplication + Category frequencies: Exact row deduplication + Category frequencies 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 reports: (1) an exact row deduplication report identifying which rows are identical across all fields, and (2) a category frequency report showing counts and distributions of reviewed_records and changed_labels grouped by dataset_group. No external lookups or predictions are made — all analysis is performed locally on the supplied data.
Example use cases
ML annotation pipeline deduplication audit
“I have 120 label review records from our annotation pipeline — each has a row_id, dataset_group, date, reviewed_records count, and changed_labels count. Can you run exact row deduplication on them and also give me a category frequency breakdown so I can see which groups have the most activity?”
Data labeling QA frequency report
“We finished a labeling sprint and I need to audit the review logs. Here are 80 rows with our dataset groups, dates, reviewed record counts, and changed label counts — can you deduplicate exact copies and show me how often each category appears?”
Multi-group label change summary
“I've got label review data across three dataset groups over the past month — about 150 rows total with row IDs, dates, reviewed_records, and changed_labels. Please identify any exact duplicate rows and give me frequency counts broken down by category.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-041?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact duplicate detection and category frequency analysis on label review data in a single low-cost call ($0.01 USDC for both reports). It is ideal for ML annotation workflows, data labeling QA audits, and pipeline hygiene checks where you want offline, deterministic analysis on up to 200 rows without any external API calls or predictions.
Side effects
- Exceeding 200-row limit returns an error — batch must be split
- Rows missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) fail schema validation
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 range fail validation
- Empty rows array (minItems: 1 not met) returns a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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