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Data Reconciliation — Numeric Interval Filter + Trailing Mean Series
x402
Data Reconciliation — Numeric Interval Filter + 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).
Applies a numeric interval filter and computes a trailing mean series on data reconciliation records (source_total vs target_total), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Numeric interval filter + Trailing mean series: Numeric interval filter + 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
Two analytical reports: (1) a filtered subset of the input rows where the chosen field (source_total or target_total) falls within the specified [minimum, maximum] interval, and (2) a trailing mean series computed over the chosen field using the specified rolling window size — both derived from the supplied reconciliation records without any external data lookup.
Example use cases
Monthly finance reconciliation band check
“I have 120 rows of monthly source vs target financial totals — filter to rows where target_total is between 1000 and 50000, and also give me a trailing mean with window 5 over target_total so I can see the smoothed trend.”
Operational data pipeline validation
“Run a numeric interval filter on source_total between 0 and 200 and a trailing mean with window size 7 over source_total for my pipeline reconciliation dataset — I've got about 80 rows grouped across three dataset groups.”
Detecting out-of-range source totals
“Can you filter my 50 reconciliation records to find which ones have source_total outside the range of 10 to 500, and simultaneously give me a 4-period trailing mean of source_total so I can spot drift over time?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-126?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a range-based filter and a rolling average computed together on reconciliation data (source_total vs target_total) in a single API call, without needing live data lookup, ML prediction, or external system integration. It is ideal for lightweight, local analytical passes over up to 200 pre-aggregated rows at very low cost ($0.01 USDC for both reports).
Side effects
- Fewer than 1 row or more than 200 rows provided returns a validation error
- window size larger than the number of rows may produce incomplete or no trailing mean values
- date fields not matching YYYY-MM-DD pattern are rejected
- source_total or target_total values outside ±1,000,000,000,000 are rejected
- missing required fields (row_id, dataset_group, date) cause schema validation failure
- minimum greater than maximum may produce an empty filtered result set
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| maximum | number | |
| minimum | number |
Tags
x402
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