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Duplicate Observations – Grouped Numeric Summary + Trailing Mean Series
x402
Duplicate Observations – Grouped Numeric Summary + Trailing Mean 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).
Computes a grouped numeric summary and a trailing mean series for duplicate-observation records (duplicate_rows, total_rows) across up to 200 rows using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Grouped numeric summary + Trailing mean series: Grouped numeric summary + Trailing mean 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 analytical reports: (1) a grouped numeric summary breaking down duplicate_rows and total_rows statistics by dataset_group, and (2) a trailing mean series for the selected field (duplicate_rows or total_rows) over the specified rolling window — both computed locally from the supplied rows, with no external data access.
Example use cases
Data quality audit by group
“I've got a dataset with 80 rows tracking duplicate_rows and total_rows across groups like 'group-a' and 'group-b' — give me a grouped numeric summary so I can see which groups have the worst duplication problem.”
Duplicate trend smoothing over time
“Here are 120 date-stamped duplicate observation records. Compute a trailing mean series on the total_rows field with a window of 10 so I can see the smoothed trend over time.”
Combined data quality reporting
“Run both a grouped numeric summary and a trailing mean (window of 3) on duplicate_rows for my 60-row dataset — I need both reports together to present a data quality overview to my team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-090?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular duplicate-observation data (with duplicate_rows and total_rows columns, grouped by dataset_group and dated) and need both a grouped statistical breakdown AND a rolling mean trend in a single $0.01 call. Ideal for data quality monitoring workflows where you want group-level stats and smoothed time-series insights together without external API dependencies or live data lookups.
Side effects
- Fewer than 1 row provided — returns validation error
- More than 200 rows submitted — request rejected at schema boundary
- Window size larger than number of rows — trailing mean may be undefined or partial for early rows
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — schema validation error
- Non-numeric values in duplicate_rows or total_rows where numbers expected — type error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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