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Duplicate Observations Analytics: Numeric Distribution + Date-by-Category Pivot
x402
Duplicate Observations Analytics: Numeric Distribution + 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 local analytical reports—numeric distribution stats and a date-by-category pivot—for up to 200 duplicate-observation records (duplicate_rows, total_rows).
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Numeric distribution + Date by category pivot: Numeric distribution + 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 computed locally on the supplied data: (1) a numeric distribution report for the selected field (duplicate_rows or total_rows), including stats such as min, max, mean, median, and frequency bins; and (2) a date-by-category pivot table cross-tabulating values by date and dataset_group. No external lookups are performed.
Example use cases
Data quality audit across pipeline groups
“I have a list of dataset groups with their duplicate_rows and total_rows counts recorded daily. Can you run both a numeric distribution and a date-by-category pivot on the duplicate_rows field so I can see how duplication is spread across groups over time?”
ETL batch duplicate spike investigation
“Our ETL pipeline logged duplicate row counts per batch group for the past month. Give me a numeric distribution of duplicate_rows plus a pivot breaking it down by date and dataset_group so I can spot any spikes.”
Data governance report on total rows vs duplicates
“I need a statistical summary for our governance report — run a numeric distribution and date-category pivot on total_rows across these 150 records, grouped by dataset_group and date.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-083?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 pre-collected duplicate-observation records with group and date labels and need both a numeric distribution summary and a date-by-category pivot in a single low-cost call ($0.01 USDC). Prefer it over general analytics APIs when your data already conforms to the duplicate_rows/total_rows schema and you want fast, local computation without external data enrichment or prediction.
Side effects
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the maxItems limit
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array (minItems:1 violated) causes request failure
- Invalid field enum value (anything other than 'duplicate_rows' or 'total_rows') is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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