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Data Reconciliation — Category Frequencies + Trailing Mean Series
x402
Data Reconciliation — Category Frequencies + 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 category frequency distribution and a trailing moving average series for supplied data reconciliation records (source_total vs target_total) in a single call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Category frequencies + Trailing mean series: Category frequencies + 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 independent analytical reports: (1) category frequency counts showing how often each dataset_group value appears in the supplied rows, and (2) a trailing moving average series computed over the specified window for the chosen field (source_total or target_total), ordered by date. Both reports are derived locally from the submitted data with no external lookups.
Example use cases
Reconciliation drift detection for finance team
“I've got 150 reconciliation rows from last month with source_total and target_total across three dataset groups. Can you compute the category frequencies by group and a trailing mean series on source_total with a window of 7 so I can spot where the numbers are drifting?”
Data pipeline audit by category
“Run a category frequency report and trailing mean analysis on my pipeline reconciliation data — 80 rows spanning October, split across five dataset groups. Use target_total as the field and a window size of 5.”
ETL comparison trend analysis
“I need two analytics reports on my ETL reconciliation records: category frequencies across dataset groups and a rolling mean for source_total with window 3. I have about 60 rows with dates from 2025-01-01 through 2025-03-31 — can you process those together?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-103?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a categorical frequency breakdown and a rolling mean time series from the same reconciliation dataset in a single low-cost call ($0.01 USDC). It is ideal for lightweight, offline analytical summaries of up to 200 reconciliation rows without needing an external BI tool, live data connection, or prediction engine.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Window size less than 2 or greater than 200 — rejected
- source_total or target_total outside ±1,000,000,000,000 — out-of-range error
- Payment not provided or insufficient USDC — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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