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Data Reconciliation — Grouped Numeric Summary + Trailing Mean Series
x402
Data Reconciliation — 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 time series for data reconciliation records containing source and target totals, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Grouped numeric summary + Trailing mean series: Grouped numeric summary + Trailing mean series 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 grouped numeric summary breaking down source_total and target_total statistics by dataset_group, and (2) a trailing mean series for the selected field (source_total or target_total) computed over the specified rolling window across the provided date-ordered rows. Both reports are computed locally from supplied data with no external lookups.
Example use cases
Monthly reconciliation group audit
“I have 50 reconciliation rows covering October — each has a row_id, a date, a dataset_group like 'payments' or 'refunds', and both source_total and target_total. Can you run a grouped numeric summary and trailing mean series using source_total with a window of 3 so I can see how totals trend by group?”
Target-side moving average trend
“Analyze my reconciliation dataset of 120 rows from our data pipeline — groups are 'warehouse' and 'crm', dates range through Q3. I want the grouped numeric summary plus a trailing mean on target_total with window size 5 to spot any drift.”
Small batch reconciliation check
“I've got 8 reconciliation records split between two groups, source and target totals all filled in. Can you produce the grouped numeric summary and a trailing mean series for source_total with a window of 2 for a quick sanity check before I escalate to the data team?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-090?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 data reconciliation rows with source and target totals and need both a grouped statistical summary and a rolling mean trend in a single call. It is ideal when you already have your data in-hand and need lightweight, local analytical computation without any external API lookups, predictions, or professional assessments. Prefer it over single-report endpoints when you want both grouped aggregation and time-series trending for the same reconciliation dataset in one low-cost operation.
Side effects
- Fewer than 1 row or more than 200 rows submitted — validation error
- Invalid date format (not YYYY-MM-DD) — schema rejection
- source_total or target_total values outside ±1,000,000,000,000 — validation error
- Window size smaller than 2 or larger than 200 — validation error
- Missing required fields (row_id, dataset_group, date) in any row — error
- Payment not confirmed via x402 protocol — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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