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Water Service Coverage — Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Water Service Coverage — Numeric Row Ordering + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Computes numeric row ordering and secondary-measure weighted mean for water service coverage records with served_households and total_households fields, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Water service coverage — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean 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 numeric ordering of input rows based on their sequence, and (2) a weighted mean of the selected field (served_households or total_households) using the secondary measure as weights — both computed locally against the supplied data, with no external lookups or predictions.
Example use cases
Regional water access ranking
“I have monthly water service coverage data for 8 municipalities — can you rank each record numerically and give me a weighted mean on served_households? My rows include things like region 'north-district' on 2025-01-01 with 4500 served and 5000 total households.”
Coverage gap analysis across dates
“Can you run a numeric row ordering and weighted mean on my total_households field for this water service dataset? I've got 12 records spanning Jan through Dec 2024 across three service zones: urban, peri-urban, and rural.”
Utility performance audit
“I need two analytical reports on our water utility coverage records — specifically a row ranking and weighted mean for served_households. I have 50 rows with region, date, served_households, and total_households columns I want analyzed.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-19-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected water service coverage records (served_households, total_households) and need both a numeric row ranking and a weighted mean statistic in a single call. It is well-suited for offline or batch analytical workflows where no live data fetching, prediction, or external enrichment is needed, and when cost efficiency matters (two reports for $0.01 USDC per call up to 200 rows).
Side effects
- Missing required fields (row_id, region, date, served_households, total_households) returns validation error
- Date field not matching YYYY-MM-DD pattern causes schema rejection
- Submitting more than 200 rows exceeds maxItems limit
- Null values in both measure fields may produce undefined weighted mean
- Empty rows array (minItems: 1 not met) returns error
- Invalid field enum value other than served_households or total_households rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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