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Duplicate Observations — Daily Sum Series + Trailing Mean Series
x402
Duplicate Observations — Daily Sum Series + 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 2026-10-20).
Computes a daily sum time series and a trailing moving-average series for supplied duplicate-observation records (duplicate_rows and total_rows fields), returning two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Daily sum series + Trailing mean series: Daily sum series + 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 independent analytical reports: (1) a daily sum series aggregating the selected field (duplicate_rows or total_rows) by date, and (2) a trailing moving-average series using the specified window size — both computed locally from the supplied row records without any external lookups.
Example use cases
Daily dedup trend for data pipeline audit
“I've got daily duplicate-row counts for my ingestion pipeline across two dataset groups for the past week — can you compute both the daily sum series and a 3-day trailing mean on the duplicate_rows field so I can spot where duplication is spiking?”
Rolling average on total rows for capacity planning
“Run a daily sum and a trailing mean with window 5 on total_rows for these 20 records across my dataset groups — I want to see the smoothed trend to help with capacity planning.”
Data quality report for duplicate anomaly detection
“Here are 50 rows of duplicate observation records tagged by dataset group and date — generate the daily sum series and trailing mean series for duplicate_rows with a window of 7 so I can flag anomalous spikes in a data quality dashboard.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-136?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 pre-collected duplicate-observation records and need both a daily aggregation series AND a smoothed trailing mean in a single low-cost call ($0.01 USDC). Prefer it over general analytics tools when the data is already structured with row_id, dataset_group, date, duplicate_rows, and total_rows fields and no live data fetching, prediction, or external enrichment is needed.
Side effects
- Input array is empty or exceeds 200 rows — validation error
- date field does not match YYYY-MM-DD pattern — schema validation failure
- window value outside 2–200 range — rejected input
- numeric fields exceed allowed magnitude (±1 trillion) — validation error
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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