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Water Service Coverage — Numeric Row Ordering + Explicit Missing-Value Fill
x402
Water Service Coverage — Numeric Row Ordering + Explicit Missing-Value Fill 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).
Sorts water service coverage rows numerically and fills missing served_households or total_households values using zero, mean, or median imputation, producing 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Water service coverage — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill 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 2 analytical reports covering up to 200 water service coverage rows, with rows sorted numerically by row_id and missing values in the specified field (served_households or total_households) filled using the chosen method (zero, mean, or median). No external data is fetched; all computation is performed locally on the supplied data.
Example use cases
Imputing missing household coverage for municipal report
“I have a dataset of 150 water service coverage records for various regions and some of the served_households values are null — please fill those missing values using the median and sort all rows numerically so I can use them in our quarterly municipal report.”
Zero-filling total_households for data pipeline
“Can you take my water utility records and fill any missing total_households values with zero, then order the rows numerically? I need two clean analytical reports to feed into our data pipeline.”
Mean imputation for regional water coverage audit
“I'm auditing water service coverage across 80 regions and there are gaps in the served_households column — fill those missing values using the mean, sort the records by row number, and produce the two analytical reports for me.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-19-124?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have water service coverage records (served_households, total_households) with missing values that need imputation and numeric row ordering, and you want two bundled analytical reports at low cost ($0.01 USDC for up to 200 rows). It is a purely local, deterministic computation — ideal when you do not need live data lookups, predictions, or external integrations.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, region, date, served_households, total_households) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Invalid method or field enum value — request rejected
- Payment not received or insufficient USDC — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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