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Water Service Coverage Daily Sum Series with Missing Value Fill
x402
Water Service Coverage Daily Sum Series with 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 2026-10-29).
Computes daily sum time series and fills missing values for water service coverage data (served_households, total_households) across regions, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Water service coverage — Daily sum series + Explicit missing-value fill: Daily sum series + 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
Two analytical reports: (1) a daily sum series aggregating the specified field (served_households or total_households) by date, and (2) an explicit missing-value fill report showing imputed values using the chosen method (zero, mean, or median), covering up to 200 input rows.
Example use cases
Municipal water coverage gap analysis
“I've got daily water service records for three districts over the past quarter and some served_households entries are null — can you compute the daily sum series and fill those gaps using median values so I can see complete coverage trends?”
Utility reporting with zero-fill for missing days
“I need a daily total of total_households served across all regions in my dataset, and wherever data is missing I want it filled with zero — can you run that aggregation and give me two reports covering both metrics?”
Regional household water access trend preparation
“Before I hand off this water service dataset to our analytics team, can you compute the daily sum series for served_households and use mean imputation to fill any missing entries? The dataset has about 150 rows across multiple regions.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-19-145?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a daily sum time series and explicit missing-value imputation on water service household data in a single call. It is purpose-built for water utility coverage records with the specific fields served_households and total_households, and returns two reports simultaneously for the cost of one call. Prefer it over generic analytics tools when working with regional, date-keyed household coverage data at up to 200 rows.
Side effects
- Missing required fields (row_id, region, date) cause validation errors
- Date values not matching YYYY-MM-DD pattern are rejected
- Input array exceeding 200 rows is rejected
- Invalid enum value for method or field returns error
- Numeric values outside ±1,000,000,000,000 range cause validation failure
- Empty rows array (minItems:1 not satisfied) returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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