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Duplicate Observations — Category Frequencies + Numeric Interval Filter
x402
Duplicate Observations — Category Frequencies + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Analyzes up to 200 duplicate-observation records, producing two local analytics reports: category frequency counts by dataset_group and a numeric interval filter on a chosen field (duplicate_rows or total_rows) within a specified min–max range.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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 local analytics reports: (1) frequency counts of each unique dataset_group category across the submitted rows, and (2) a filtered subset of rows where the selected numeric field (duplicate_rows or total_rows) falls within the specified minimum–maximum interval. No external lookups or predictions are made — all computation is performed on the supplied data.
Example use cases
Data quality audit by group
“I've got a list of 50 dataset records with duplicate_rows and total_rows counts across groups like 'finance', 'hr', and 'ops' — can you give me a frequency breakdown of how many records fall in each group, and also filter to show only rows where duplicate_rows is between 5 and 50?”
Threshold filtering on total rows
“Here are 120 duplicate observation records from our ETL pipeline — I want to see category frequencies by dataset_group, and also filter the total_rows field to only include records between 1000 and 500000 so I can ignore the tiny and huge outliers.”
Spotting high-duplication segments
“I have duplicate observation logs for 80 rows across several dataset groups. Can you count how frequently each group appears and then filter on duplicate_rows between 100 and 999 so I can focus on the segments with significant duplication?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-101?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 duplicate-observation records and need both a categorical frequency breakdown by dataset_group AND a numeric range filter on either duplicate_rows or total_rows in a single $0.01 call. Prefer it over single-report endpoints when you want both analyses together without making two separate API calls. It is a pure local computation service — use it when you do not need external lookups, predictions, or live data enrichment.
Side effects
- Fewer than 1 row submitted — request rejected (minItems: 1)
- More than 200 rows submitted — request rejected (maxItems: 200)
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — validation error
- Numeric values outside ±1,000,000,000,000 — schema rejection
- Payment not included or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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