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Water Service Coverage — String Normalisation + Daily Sum Series
x402
Water Service Coverage — String Normalisation + Daily Sum 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).
Normalises region strings and computes daily sum time series for water service coverage data (served_households, total_households) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Water service coverage — String normalisation + Daily sum series: String normalisation + Daily sum 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 string-normalisation report cleaning and standardising the region field across all submitted rows, and (2) a daily sum series report aggregating the selected numeric field (served_households or total_households) by date — all computed locally from the supplied data, no external lookups.
Example use cases
Daily served-household totals by date
“Here are 120 rows of water utility coverage data with region names, dates, and served_households counts — please normalize the region strings and compute a daily sum series for served_households so I can see totals per day.”
Total household aggregation for coverage audit
“I need to audit our water service coverage. I have 80 records with row_id, region, date, and total_households — can you normalize the region labels and produce a daily sum series for total_households?”
Multi-region string cleanup with time series
“Our dataset has inconsistent region name formatting across 200 water coverage rows — can you normalize those strings and also give me a daily sum series for served_households so I can spot gaps in coverage over time?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-19-027?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have water service coverage tabular data (up to 200 rows) and need both region string normalisation and a daily sum time series in a single $0.01 call — ideal for lightweight offline analytics without needing a live database, prediction, or external data enrichment service.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, region, date, served_households, total_households) cause validation errors
- Date strings not matching YYYY-MM-DD pattern rejected
- Null or out-of-range numeric values may be excluded from sum series
- Invalid field enum value (not served_households or total_households) causes rejection
- Payment not provided or insufficient — x402 payment required at $0.01 USDC
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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