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Data Reconciliation — Trailing Mean Series + Secondary-Measure Weighted Mean
x402
Data Reconciliation — Trailing Mean Series + Secondary-Measure Weighted Mean 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 secondary-measure weighted mean over supplied source/target reconciliation data rows (up to 200 rows, 2 reports per call).
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Trailing mean series + Secondary-measure weighted mean: Trailing mean series + Secondary-measure weighted mean 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 computed over the selected field (source_total or target_total) using the specified rolling window, and (2) a secondary-measure weighted mean across the supplied reconciliation rows. Both reports are derived purely from the provided data with no external lookups.
Example use cases
Monthly source/target drift analysis
“I have 60 rows of monthly reconciliation data with source_total and target_total values per dataset group — can you compute a trailing mean series with a window of 3 over source_total so I can see where the drift is building up over time?”
Weighted mean for cross-group comparison
“Take my 120 reconciliation records across groups 'region-east' and 'region-west' and run the secondary-measure weighted mean on target_total so I can compare how each group's weighted average stacks up against the source.”
End-of-quarter reconciliation audit
“I need to audit our Q4 reconciliation records — here are 80 rows with date, row_id, dataset_group, source_total and target_total. Run both the trailing mean series (window of 5, field: source_total) and the weighted mean report so I can spot anomalies before the close.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-151?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 reconciliation records with source_total and target_total fields and need both a rolling/trailing mean time series and a weighted mean summary in a single call. It is ideal for lightweight, offline statistical reconciliation analysis where no live data lookup, prediction, or external action is required. Prefer it over general-purpose analytics tools when cost-efficiency ($0.01 per call for 2 reports) and simplicity are priorities.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Window size larger than number of rows — trailing mean may be incomplete or errored
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- source_total or target_total out of range (±1 trillion) — rejected
- Missing required fields (row_id, dataset_group, date) — validation error
- Null values in source_total or target_total may affect weighted mean calculation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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