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Water Service Coverage — Numeric Row Ordering + Trailing Mean Series
x402
Water Service Coverage — Numeric Row Ordering + 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).
Runs two local analytical reports on water service coverage data: numeric row ordering and a trailing moving-average series for served_households or total_households fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Water service coverage — Numeric row ordering + Trailing mean series: Numeric row ordering + 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 derived from the supplied water service coverage rows: (1) the rows reordered numerically by the values in the selected field (served_households or total_households), and (2) a trailing moving-average series computed over the specified window size for that same field. No external data is fetched; all computation is performed locally on the submitted rows.
Example use cases
Regional coverage ranking for utility audit
“I have monthly water service data for 12 regions with served_households and total_households — sort all the rows numerically by served_households so I can see which regions are lowest and highest coverage.”
Smoothing noisy household series for trend reporting
“Our water coverage dataset has some noisy month-to-month swings in total_households — can you run a trailing mean with a window of 4 on the total_households field so I can see the smoothed trend?”
Preparing ranked and smoothed data for dashboard
“I need two reports on our water service records: first, rank all rows by served_households in numeric order, and second, compute a 5-period trailing mean on served_households — we have about 150 rows total.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-19-115?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular water service coverage data (with served_households and total_households columns) and need two specific local analytics in one call: numeric row ordering/ranking and a trailing moving-average series. It is ideal for offline/batch analytical preprocessing of utility datasets without needing live lookups, predictions, or external enrichment. At $0.01 USDC for both reports on up to 200 rows, it is cost-effective for small-to-medium dataset analysis.
Side effects
- Fewer than 1 or more than 200 rows submitted — rejected with validation error
- Window size larger than number of submitted rows — trailing mean may be undefined for early rows
- Missing required fields (row_id, region, date, served_households, total_households) — row rejected or error returned
- Invalid date format (not YYYY-MM-DD) — validation failure
- Null numeric values in the selected field — may produce nulls or gaps in trailing mean output
- Malformed JSON payload — 400 bad request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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