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Duplicate Observations Analytics: Weighted Mean + Date-Category Pivot
x402
Duplicate Observations Analytics: Weighted Mean + Date-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 2026-10-20).
Computes a secondary-measure weighted mean and a date-by-category pivot table for up to 200 duplicate observation records in two bundled reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Secondary-measure weighted mean + Date by category pivot: Secondary-measure weighted mean + 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
Two bundled analytical reports: (1) a secondary-measure weighted mean of the selected field (duplicate_rows or total_rows) across supplied records, and (2) a date-by-category pivot table cross-tabulating the measure by date and dataset_group, covering up to 200 input rows. No external data is fetched; all analysis is performed on the supplied data only.
Example use cases
Data pipeline quality audit
“I need to audit our ETL pipeline output — I have up to 200 records each with a date, a dataset group, and counts of duplicate and total rows. Can you compute a weighted mean of duplicate_rows across groups and also pivot those duplicate counts by date and dataset category so I can spot which days and groups have the worst duplication?”
Monthly deduplication trend review
“Here are our monthly dataset observations with duplicate_rows and total_rows for groups 'customers', 'orders', and 'products' across 2024-03-01 through 2024-03-31 — can you give me a date-by-category pivot and a weighted mean of the duplicate_rows field so we can track our deduplication progress?”
Multi-group dataset comparison
“I have 150 observation records across four dataset groups with their duplicate and total row counts — please run a secondary-measure weighted mean on total_rows and a date-by-category pivot so I can compare how duplication varies by group and over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-185?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 pre-collected duplicate observation records and need both a weighted mean and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is purely analytical — no external lookups, predictions, or live data access — making it ideal for offline data quality audits and deduplication reporting pipelines where you supply the raw counts.
Side effects
- Missing required fields (row_id, date, dataset_group, duplicate_rows, total_rows) causes validation error
- Date values not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds the per-call limit
- Null numeric values may affect weighted mean computation if all weights are null
- Invalid field enum value (not 'duplicate_rows' or 'total_rows') causes rejection
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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