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Duplicate Observations Analytics: Numeric Row Ordering + Daily Sum Series
x402
Duplicate Observations Analytics: Numeric Row Ordering + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Generates two local analytical reports — numeric row ordering and daily sum series — for supplied duplicate-observation records (duplicate_rows, total_rows) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum series 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 analytical reports returned together: (1) a numeric row ordering of the supplied records ranked by the chosen field (duplicate_rows or total_rows), and (2) a daily sum series aggregating that field by date — all computed locally without external lookups or live data access, for up to 200 input rows.
Example use cases
Daily duplicate trend across dataset groups
“I have a week of duplicate-observation records across two dataset groups and I want to see both the numeric row ranking and the daily sum series for duplicate_rows — can you run those two reports on my data?”
Data quality audit by total row count
“Run the numeric row ordering and daily sum series analytics on my dataset records using total_rows as the field — I want to see how total rows rank and accumulate per day across groups.”
Identifying peak duplication days
“I've got 50 rows of duplicate observation data with dates and dataset groups — can you compute the daily sum series and row ordering for duplicate_rows so I can spot which days had the most duplication?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-114?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured duplicate-observation records with date, group, and numeric duplicate/total row counts, and need both a ranked row ordering and a daily sum series in a single low-cost call. It is best for data quality monitoring, ETL pipeline auditing, and deduplication trend analysis where no external data or predictions are needed — just fast local computation on supplied rows.
Side effects
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation errors
- More than 200 rows submitted causes rejection at maxItems limit
- Malformed date strings not matching YYYY-MM-DD pattern fail schema validation
- Null values in numeric fields may affect aggregation results
- Invalid field enum value (anything other than 'duplicate_rows' or 'total_rows') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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