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Data Reconciliation — Trailing Mean Series + Keyed Dataset Comparison
x402
Data Reconciliation — Trailing Mean Series + Keyed Dataset Comparison 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 performs a keyed dataset comparison across two sets of reconciliation records (source_total vs target_total) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Trailing mean series + Keyed dataset comparison: Trailing mean series + Keyed dataset comparison 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 specified field (source_total or target_total) across the supplied rows, and (2) a keyed dataset comparison that matches records from the primary and secondary datasets by row_id/dataset_group/date and surfaces value-level differences between them. Both reports are produced locally from the supplied data with no external lookups.
Example use cases
ETL pipeline output reconciliation
“I've got a primary dataset and a revised dataset from our ETL run — both have about 80 rows with row_id, date, dataset_group, source_total, and target_total. Can you compute the trailing mean series on source_total and do a keyed comparison between the two to show me where the numbers diverge?”
Month-end financial close variance check
“Here are our month-end source and target totals for 120 rows grouped by business unit and date — run a trailing mean series plus a keyed dataset comparison on these so I can see which groups have meaningful discrepancies before we close the books.”
Data quality audit between system snapshots
“I pulled records from two system snapshots, each about 60 rows with source_total and target_total by date and group. Please generate the trailing mean series for source_total and a keyed comparison report so I can identify any rows where the two snapshots don't agree.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-153?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of reconciliation data with source_total and target_total fields and need both a trailing mean time series AND a keyed side-by-side dataset comparison in a single $0.01 call. Prefer it over single-report endpoints when you need both analytical outputs together. It is a purely computational, offline endpoint — ideal when you do not need live data lookup, prediction, or external validation.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, source_total, target_total) causes schema rejection
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array (minItems: 1 not met) returns an error
- Mismatched row keys between primary and secondary datasets may produce incomplete comparison results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| window | integer |
Tags
x402
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