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Duplicate Observations Analytics — Grouped Numeric Summary + Daily Sum Series
x402
Duplicate Observations Analytics — Grouped Numeric Summary + 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 2026-10-15).
Computes a grouped numeric summary and a daily sum time 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 — Grouped numeric summary + Daily sum series: Grouped numeric summary + 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
Returns two independent analytical reports: (1) a grouped numeric summary breaking down the selected field (duplicate_rows or total_rows) by dataset_group with statistics such as count, mean, min, max, and sum; and (2) a daily sum time series aggregating the selected field by date. Both reports are computed locally without external lookups or predictions.
Example use cases
Data quality audit by dataset group
“I've got a list of records tracking duplicates across different dataset groups — each row has a group name, a date, and counts for duplicate_rows and total_rows. Can you give me a grouped numeric summary of the duplicate_rows field so I can see which groups have the most duplicates?”
Daily duplicate trend analysis
“Here are 150 rows of duplicate observation logs with dates going from October 1st to November 30th. Can you compute a daily sum series for total_rows so I can see how the total row counts add up day by day over that period?”
Multi-group duplicate spike investigation
“I'm investigating a data pipeline issue and have records for two groups — 'group-a' and 'group-b' — with daily duplicate_rows counts. Can you run both the grouped numeric summary and the daily sum series on the duplicate_rows field so I can compare patterns across groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-089?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of duplicate-observation records (with duplicate_rows and total_rows counts, a date, and a group label) and need both a grouped statistical summary and a daily sum time series in a single low-cost call. It is ideal for lightweight, offline data quality analysis without requiring a full analytics platform. Prefer it over general-purpose analytics tools when you want a fast, deterministic, pay-per-call computation on pre-supplied data rather than a live query against a database.
Side effects
- Input array has fewer than 1 row or more than 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) on any row — validation error
- Date strings not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejected
- Payment of 0.01 USDC not completed via x402 — request not processed
- Invalid field enum value (must be 'duplicate_rows' or 'total_rows') — error returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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