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Water Service Coverage — Numeric Interval Filter + Trailing Mean Series
x402
Water Service Coverage — 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 2026-11-02).
Filters water service coverage records by numeric interval and computes a trailing mean series on served_households or total_households, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Water service coverage — Numeric interval filter + Trailing mean series: Numeric interval filter + Trailing mean series for supplied water service coverage records (served_households, total_households). 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: one showing records that pass the numeric interval filter on the selected field, and one showing the trailing mean series computed over the specified window — both derived from the supplied water service coverage rows (served_households, total_households) without any external data lookup.
Example use cases
Regional water coverage trend analysis
“I have monthly water service data for 30 regions over the past year — can you filter the records where served_households is between 500 and 10000, then compute a trailing mean with a window of 4 to spot coverage trends?”
Outlier exclusion for utility reporting
“Run a numeric interval filter on my total_households field, keeping only values between 1000 and 50000, and generate a trailing mean series with window size 6 so I can see smoothed trends in our utility data.”
Coverage gap monitoring for small municipalities
“I've got water service records for small towns — filter them where served_households falls between 0 and 200 and calculate a rolling mean over a window of 2 so I can identify which areas have consistently low coverage.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-19-126?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have pre-collected water service coverage data (served_households, total_households) and need both an interval-filtered view and a trailing mean series in a single call at low cost ($0.01 USDC for 2 reports, up to 200 rows). Prefer this over general analytics tools when working within the water utilities or public infrastructure domain and when no live data lookup or prediction is needed — pure local analytical computation on supplied data.
Side effects
- Input array is empty or exceeds 200 rows — validation error returned
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Window size larger than the number of rows results in empty or partial trailing mean output
- Null values in served_households or total_households may be excluded from computations
- minimum greater than maximum causes no records to pass the interval filter
- Missing required fields (row_id, region, date) causes schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| maximum | number | |
| minimum | number |
Tags
x402
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