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Water Service Coverage — Adjacent Row Changes + Two-Measure Correlation
x402
Water Service Coverage — Adjacent Row Changes + Two-Measure Correlation 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).
Computes adjacent row changes and two-measure correlation for water service coverage data (served_households vs total_households) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Water service coverage — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation 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) adjacent row changes showing deltas between consecutive records for the selected field, and (2) a correlation report between served_households and total_households across the supplied dataset. Results are derived from the submitted data only — no external lookups or predictions.
Example use cases
Regional water coverage trend audit
“I have 150 rows of water service data across regions A through D with dates and household counts — please compute the adjacent row changes and the correlation between served_households and total_households so I can see where coverage is shifting most.”
Utility planning correlation check
“Run a two-measure correlation and row-by-row change report on my water service dataset — it has served_households and total_households columns across about 80 records, and I want to understand how tightly those two metrics track each other.”
Data quality check on coverage records
“Can you analyze these 50 water service coverage records and flag how the served_households values change between adjacent rows, and also give me a correlation report between served_households and total_households?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-19-158?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have tabular water service coverage data with served_households and total_households columns and want two complementary statistical reports — sequential change detection and inter-measure correlation — in a single low-cost call. Prefer it over general-purpose analytics when your domain is utility/water service coverage and you need both a delta series and a correlation coefficient without writing custom code.
Side effects
- Missing required fields (row_id, region, date, served_households, total_households) causes validation error
- Exceeding 200 rows returns an error — batch must be split
- Invalid date format (not YYYY-MM-DD) rejected by schema
- Null values in numeric fields may affect correlation calculation
- Fewer than 2 rows makes adjacent-row change analysis trivial or undefined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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