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Water Service Coverage — Record Quality Audit + Numeric Distribution
x402
Water Service Coverage — Record Quality Audit + 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 2026-11-02).
Runs two local analytical reports (record quality audit and numeric distribution) on up to 200 rows of water service coverage data containing served_households and total_households fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Water service coverage — Record quality audit + Numeric distribution: Record quality audit + 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 independent analytical reports: (1) a record quality audit covering completeness, validity, and anomaly flags for the supplied water service coverage rows; and (2) a numeric distribution summary for the selected field (served_households or total_households), covering statistical spread, counts, and distribution characteristics. Covers up to 200 input rows. All analysis is performed locally with no external lookups.
Example use cases
Water utility data quality check
“I have a CSV of water coverage records for 120 regions with served_households and total_households columns. Can you run a record quality audit and show me the numeric distribution of served_households so I can spot any bad data before publishing?”
Household coverage anomaly detection
“Before I submit my quarterly water service report, can you audit these 80 rows of household coverage data and give me a distribution breakdown of total_households to flag anything that looks off?”
Regional water access data profiling
“I'm preparing a water access dataset for 150 regional records. Run a quality audit and numeric distribution on the served_households field so I can see where the data is clean and where it might have issues.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-19-004?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost ($0.01 USDC) dual-report analysis — record quality audit plus numeric distribution — on a batch of water service coverage records (up to 200 rows). It is ideal for pre-submission data validation, data pipeline quality gates, or exploratory profiling of household water access datasets where no external lookup, prediction, or live data enrichment is needed.
Side effects
- Input array is empty or exceeds 200 rows — validation error returned
- Required fields (row_id, region, date, served_households, total_households) missing from one or more rows — row-level errors flagged
- Date field does not match YYYY-MM-DD pattern — row rejected or flagged
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error
- Invalid field enum value (must be served_households or total_households) — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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