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Water Service Coverage Data Quality: Duplicate Key Report + Missing-Value Fill
x402
Water Service Coverage Data Quality: Duplicate Key Report + Missing-Value Fill 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).
Analyzes up to 200 water service coverage rows to produce a duplicate key report and fill missing values in served_households or total_households using zero, mean, or median imputation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Water service coverage — Duplicate key report + Explicit missing-value fill: Duplicate key report + Explicit missing-value fill 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
Returns two independent reports: (1) a duplicate key report listing any row_ids that appear more than once in the submitted dataset, and (2) an explicit missing-value fill report showing which rows had null values in the specified field (served_households or total_households) and what replacement value (zero, mean, or median) was applied. No external data or predictions are included.
Example use cases
Audit regional water coverage dataset
“I have 120 rows of water service coverage data with region, date, served_households, and total_households — can you find any duplicate row IDs and fill missing served_households values using the median?”
Zero-fill missing household counts for reporting
“Before I submit this water coverage report, fill all missing total_households entries with zero and flag any duplicate keys in my 80-row dataset.”
Mean imputation for utility coverage analysis
“I'm analyzing water service coverage across 150 districts. Can you detect any duplicate row IDs in my records and replace missing served_households values with the mean of the rest?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-19-070?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, offline data quality checks specifically for water service coverage records with served_households and total_households fields — particularly when you need both duplicate key detection and missing-value imputation in a single call at low cost ($0.01 USDC for both reports). Best suited for datasets up to 200 rows where no external data enrichment, live lookup, or predictive modeling is needed.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, region, date) cause validation errors
- Invalid date format (not YYYY-MM-DD) rejected by pattern constraint
- Numeric values outside allowed range rejected
- Empty rows array rejected by minItems constraint
- Unknown field or method enum value causes schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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