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Data Reconciliation Analytics — Trailing Mean Series + Equal-Width Histogram
x402
Data Reconciliation Analytics — Trailing Mean Series + Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Computes a trailing mean time series and an equal-width histogram for source_total or target_total fields across up to 200 data reconciliation rows, returning both analytical reports in a single call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Trailing mean series + Equal-width histogram: Trailing mean series + Equal-width histogram 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 series showing smoothed values for the selected field (source_total or target_total) over the specified rolling window, and (2) an equal-width histogram with configurable bin count showing the frequency distribution of values across the supplied rows.
Example use cases
Finance team reconciliation trend review
“I have 120 daily reconciliation records for October 2024, each with a source_total and target_total. Can you compute the 7-day trailing mean for source_total and show me a 10-bin histogram so I can see the distribution?”
Detecting outliers in target totals
“Run a trailing mean with a window of 3 and a 5-bin equal-width histogram on my target_total field — I've got 80 reconciliation rows across two dataset groups and want to spot any unusual spikes.”
Monthly dataset group distribution comparison
“I have 200 reconciliation rows split across two groups. Compute the trailing mean series using a window of 4 and a 15-bin histogram for source_total so I can compare how values are distributed across the month.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-148?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling average time series and a histogram distribution report for reconciliation data in a single low-cost call. It is ideal for batch analytical summaries of up to 200 rows where no live data lookup, external enrichment, or predictive modeling is needed — just local statistical computation on supplied source/target totals.
Side effects
- Fewer than 1 or more than 200 rows submitted — validation error
- Window size larger than the number of rows — may produce empty or degenerate series
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- source_total or target_total values outside ±1,000,000,000,000 — rejected by schema
- bins value outside 1–30 range — validation error
- null values in source_total or target_total may reduce effective series length
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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