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Label Review Analytics: Exact Row Deduplication + Daily Sum Series
x402
Label Review Analytics: Exact Row Deduplication + Daily Sum Series 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).
Deduplicates exact rows and computes daily sum time series for label review records (reviewed_records, changed_labels) across up to 200 rows in two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Exact row deduplication + Daily sum series: Exact row deduplication + Daily sum series 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 and removing duplicate rows from the supplied label review records, and (2) a daily sum time series aggregating the selected field (reviewed_records or changed_labels) by date, both computed locally against the supplied data with no external lookups.
Example use cases
Clean duplicate annotation records
“I have a batch of label review logs with row IDs, dataset groups, and dates — some rows got duplicated during export. Can you deduplicate them exactly and also give me a daily sum series for changed_labels?”
Track daily reviewed record volume
“Here are 150 label review rows from our annotation pipeline for October. Run the daily sum series on the reviewed_records field so I can see how many records were reviewed each day.”
Audit label changes over a date range
“I need to audit how many labels were changed per day across our two dataset groups last month. Take these label review rows and give me both the deduplication report and the daily sum series for changed_labels.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-044?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 label review records and need both exact duplicate removal and a daily aggregation time series in a single low-cost call ($0.01 USDC). Ideal for annotation pipeline QA, MLOps data auditing, or label quality reporting workflows where you supply your own data and need fast, local computation with no external dependencies.
Side effects
- Input exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, reviewed_records, changed_labels) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array (minItems: 1 not met) causes error
- Invalid field selector value (not 'reviewed_records' or 'changed_labels') causes error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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