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Duplicate Observations Analytics: Numeric Interval Filter + Date-by-Category Pivot
x402
Duplicate Observations Analytics: Numeric Interval Filter + 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).
Runs two local analytical reports on supplied duplicate-observation data: a numeric interval filter on duplicate_rows or total_rows, and a date-by-category pivot table.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Numeric interval filter + Date by category pivot: Numeric interval filter + 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 analytical reports: (1) a filtered subset of the supplied rows where the chosen numeric field (duplicate_rows or total_rows) falls within the specified minimum–maximum interval, and (2) a pivot table cross-tabulating the chosen numeric field by date and dataset_group category. Both reports are computed locally on up to 200 supplied rows with no external lookups.
Example use cases
Data quality audit by group and date
“I've got 150 records tracking duplicate rows per dataset group across several dates. Can you filter down to records where duplicate_rows is between 10 and 100, and also give me a pivot of duplicate_rows broken out by date and dataset_group?”
Identify high-duplication intervals in total rows
“Run two reports on my dataset quality records: first, filter on total_rows between 500 and 5000, and second, give me a date-by-category pivot of total_rows so I can see which groups spike on which dates.”
Spot-check low-duplicate records across groups
“I have a batch of 80 duplicate-observation records — can you filter to just the rows where duplicate_rows falls between 0 and 5, and also pivot the duplicate_rows counts by date and dataset_group so I can see the breakdown?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-133?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have up to 200 pre-collected duplicate-observation records and need both a numeric range filter and a date-by-category pivot in a single $0.01 call. It is ideal for data quality workflows where you want to slice duplicates by threshold and simultaneously see cross-tabulated trends by group and date — without any external data lookup or live inference.
Side effects
- Missing required row fields (row_id, date, dataset_group, duplicate_rows, total_rows) causes validation errors
- More than 200 rows submitted exceeds the maxItems limit
- Date values not matching YYYY-MM-DD pattern are rejected
- Minimum greater than maximum produces an empty interval filter result
- Null numeric values in duplicate_rows or total_rows may affect filter accuracy
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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