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Data Reconciliation — Trailing Mean Series + Date by Category Pivot
x402
Data Reconciliation — Trailing Mean Series + Date by Category Pivot 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 trailing mean time series and a date-by-category pivot table for supplied source/target reconciliation data, returning two analytical reports in one call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot for supplied data reconciliation records (source_total, target_total). 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 trailing mean time series showing rolling window averages for the selected field (source_total or target_total) across the supplied rows, and (2) a date-by-category pivot table summarizing totals grouped by date and dataset_group. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Rolling average on financial reconciliation
“I have daily source and target totals across two dataset groups for Q4 — can you compute a trailing mean with a window of 5 for source_total and also pivot the data by date and category so I can spot where the groups diverge?”
Detecting target drift over time
“Run a trailing mean series with window 4 on target_total for these reconciliation records across groups alpha and beta, and also give me the date-by-category pivot — I want to see if target is consistently lagging source.”
Month-end reconciliation summary for audit
“I need two reports on my month-end reconciliation rows: a rolling 7-day mean for source_total and a pivot of totals by date and dataset group — here are up to 150 rows of source and target figures.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-152?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time series AND a date-by-category pivot computed together in a single low-cost call on user-supplied reconciliation data (up to 200 rows). It is purpose-built for source vs. target data reconciliation analytics and requires no external data sources. Prefer it over general-purpose analytics tools when you have structured rows with dataset_group, date, source_total, and target_total and want two complementary statistical views simultaneously.
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows submitted — exceeds maximum item limit
- Invalid date format — dates must match YYYY-MM-DD pattern
- Window size less than 2 or greater than 200 — out of allowed range
- source_total or target_total values outside ±1,000,000,000,000 — validation error
- Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row
- Invalid field enum value — must be 'source_total' or 'target_total'
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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