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Water Service Coverage — Exact Row Deduplication + Secondary-Measure Weighted Mean
x402
Water Service Coverage — Exact Row Deduplication + 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 2026-11-02).
Deduplicates water service coverage records by exact row match and computes a secondary-measure weighted mean over served_households or total_households data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Water service coverage — Exact row deduplication + Secondary-measure weighted mean: Exact row deduplication + 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
Returns two analytical reports: (1) an exact row deduplication result identifying and removing fully duplicate records from the input dataset, and (2) a secondary-measure weighted mean calculation for the specified field (served_households or total_households), weighted by the complementary measure. Both reports are computed locally with no external lookups.
Example use cases
Regional water coverage data cleanup
“I've collected water service coverage records from multiple regional reports and suspect there are duplicate rows. Can you run exact row deduplication on this dataset of 150 rows and give me a weighted mean of served_households, using total_households as the secondary measure?”
Monthly utility reporting audit
“Our water utility team submitted records for served_households and total_households across several districts. Before we finalize the monthly report, can you deduplicate the rows and compute the weighted mean for total_households across all entries?”
Multi-source household coverage aggregation
“We merged water service data from two field teams and need to remove exact duplicate records, then get the secondary-measure weighted mean for served_households — we have about 80 rows with region, date, row_id, served_households, and total_households.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-19-051?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have tabular water service coverage data (served_households, total_households) that may contain duplicate rows and you need both a deduplication pass and a weighted mean statistic in a single low-cost call. Ideal for data pipeline cleanup steps, utility reporting audits, or pre-analysis data quality checks on datasets up to 200 rows. Not suitable for real-time lookups, predictive modeling, or datasets exceeding 200 rows.
Side effects
- Missing required fields (row_id, region, date, served_households, or total_households) cause validation errors
- Exceeding 200 rows returns an error or truncation
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Null values in both primary and secondary measure fields may affect weighted mean accuracy
- Payment not fulfilled results in 402 response and no report generated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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