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Duplicate Observations Analytics — Daily Sum Series + Date-by-Category Pivot
x402
Duplicate Observations Analytics — Daily Sum Series + Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Generates two analytical reports (daily sum time series and date-by-category pivot table) for supplied duplicate-observation records up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Daily sum series + Date by category pivot: Daily sum series + Date by category pivot for supplied duplicate observations records (duplicate_rows, total_rows). 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 daily sum time series aggregating the selected metric (duplicate_rows or total_rows) across all records grouped by date, and (2) a date-by-category pivot table cross-tabulating the metric by date and dataset_group. Both reports are computed locally from the supplied data, up to 200 input rows.
Example use cases
Daily duplicate trend for data pipeline audit
“I'm auditing our ETL pipeline and have a list of up to 200 records showing duplicate_rows and total_rows per dataset group per day from 2026-10-01 to 2026-10-31 — can you generate both the daily sum time series and the date-by-category pivot so I can see where duplicates spike?”
Cross-group duplicate comparison pivot
“I've got observations from three dataset groups — group-a, group-b, and group-c — with dates and duplicate row counts. Can you pivot them by date and category and also give me the daily totals for total_rows so I can compare duplication rates across groups?”
Data quality report for weekly QA review
“For our weekly data quality meeting I need a daily sum series and a date-by-category pivot for these 80 duplicate-observation records covering the past two weeks, focusing on the duplicate_rows field — can you run both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-143?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular duplicate-observation records with a date, a categorical grouping field, and numeric duplicate/total-row counts, and need both a time-series daily rollup and a cross-tabulated pivot in a single call for up to 200 rows. Prefer it over general-purpose analytics when cost predictability ($0.01 USDC for two reports) and local computation without external lookups are priorities.
Side effects
- Input array exceeds 200 rows — request rejected or truncated
- Missing required fields (row_id, date, dataset_group) cause row-level errors or exclusion
- Invalid date format (not YYYY-MM-DD) causes parsing failures
- Numeric values out of range (beyond ±1,000,000,000,000) may be rejected
- Empty rows array returns no reportable data
- Invalid field enum value (not 'duplicate_rows' or 'total_rows') causes field selection error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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