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Water Service Coverage — Grouped Numeric Summary + Base-100 Series
x402
Water Service Coverage — Grouped Numeric Summary + Base-100 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).
Computes a grouped numeric summary and a Base-100 index series for water service coverage data (served_households, total_households) across regions and dates, returning two local analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Water service coverage — Grouped numeric summary + Base-100 series: Grouped numeric summary + Base-100 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
Two analytical reports: (1) a grouped numeric summary of the selected field (served_households or total_households) broken down by region, and (2) a Base-100 index series normalizing the field values relative to the specified base row — both computed locally over up to 200 input rows.
Example use cases
Regional water access benchmarking
“I have monthly water coverage data for 5 regions over the past year, with served_households and total_households for each row. Please run a grouped numeric summary and Base-100 index series on the served_households field, anchored to row 0, so I can benchmark each region's progress.”
Utility coverage trend indexing
“Can you take this dataset of 150 water utility records by date and region, and produce both a grouped summary and a Base-100 series for total_households starting from index position 0? I want to see how coverage has changed relative to the baseline.”
Multi-region household service analysis
“I've got served_households and total_households data for group-a and group-b across 30 dates. Run a grouped numeric summary and a Base-100 series for the served_households field using row 0 as the base, so I can compare service levels across the two groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-19-092?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular water service coverage data (served_households, total_households) organized by region and date, and need both a grouped descriptive summary and a normalized Base-100 time series in a single $0.01 call. It is ideal for offline/batch analytical workflows where no live data lookup, external enrichment, or prediction is needed — just two complementary statistical reports computed locally over up to 200 rows.
Side effects
- Input array is empty (minItems:1 violated) — validation error returned
- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- base_index references a row index beyond the array length — index out of range error
- Null values in the selected field may affect summary statistics or index computation
- Missing required fields (row_id, region, date, served_households, total_households) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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