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Payment Reconciliation Trailing Mean Series & Adjacent Row Changes
x402
Payment Reconciliation Trailing Mean Series & Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Computes trailing moving-average series and adjacent-row delta changes for up to 200 payment reconciliation records, returning two local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Payment reconciliation — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes for supplied payment reconciliation records (expected_amount, received_amount). 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
Two analytical reports computed locally: (1) a trailing mean series showing the rolling average of the selected field (expected_amount or received_amount) across the supplied rows using the specified window size, and (2) adjacent row changes showing the delta between consecutive rows for the selected field — all derived from the supplied data with no external lookups.
Example use cases
Detecting payment drift over a billing cycle
“I have 50 daily reconciliation rows for October showing expected and received payments across two instrument groups — can you compute a trailing mean with window 3 on received_amount plus show me the adjacent row changes so I can spot where payments started drifting?”
Month-end reconciliation variance review
“Run trailing mean and adjacent row change reports on my 120-row month-end reconciliation dataset using a window size of 5 on expected_amount — I need to see the rolling average trend and how much each row shifted from the previous one.”
Instrument group payment trend comparison
“I have 80 reconciliation records split across three instrument groups from Q3 — analyze the expected_amount field with a window of 10 to give me the trailing mean series and adjacent row deltas so I can compare payment consistency across groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-08-146?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, server-side statistical summaries (trailing mean and row-to-row deltas) on payment reconciliation data without involving any external data sources or live lookups. It is ideal for batch post-processing of reconciliation exports when you want two complementary analytical views (trend smoothing via trailing mean + volatility via adjacent changes) in a single low-cost call. Prefer alternatives if you need real-time enrichment, ML-based anomaly detection, groupby aggregations, or more than 200 rows.
Side effects
- Fewer than 1 or more than 200 rows supplied — validation error
- Window size larger than the number of supplied rows — computation may produce sparse or no results
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in expected_amount or received_amount — may affect mean/delta calculations
- Missing required fields (row_id, instrument_group, date) — request rejected
- Payment failure or insufficient USDC balance — 402 response, no analysis returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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