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Water Service Coverage — String Normalisation + Numeric Distribution
x402
Water Service Coverage — String Normalisation + Numeric Distribution 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).
Performs string normalisation on region labels and computes numeric distribution statistics for water service coverage data (served_households and total_households) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Water service coverage — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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 for the submitted rows: (1) a string normalisation report cleaning and standardising the region label field, and (2) a numeric distribution report for the selected field (served_households or total_households), including distributional statistics such as min, max, mean, and spread metrics. Results are derived entirely from the supplied data with no external lookups.
Example use cases
Regional water access audit
“I have 120 rows of water coverage data by region and date — can you normalise the region name strings and show me the numeric distribution of served_households so I can spot which areas are underserved?”
Household coverage data cleaning
“My dataset has messy region labels and I need both clean normalised strings and a distribution summary for total_households — can you run both reports on these 80 water service records?”
Monthly utility coverage snapshot
“Can you take these 200 rows of water utility records from October 2026 and run string normalisation on the region column plus a numeric distribution on the total_households field so I can summarise coverage this month?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-19-022?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation of region labels and numeric distribution analytics on household coverage figures in a single low-cost call ($0.01 USDC). It is ideal for offline batch analysis of water service datasets up to 200 rows where no live data lookup, prediction, or external action is required. Prefer alternatives if you need real-time data enrichment, geospatial lookups, or more than 200 rows processed at once.
Side effects
- Rows exceeding 200 items will be rejected (maxItems constraint)
- Missing required fields (row_id, region, date, served_households, total_households) cause validation errors
- Dates not matching YYYY-MM-DD pattern will fail schema validation
- Null numeric values are accepted but may affect distribution calculations
- Invalid field enum value (not served_households or total_households) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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