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Water Service Coverage Analytics — Adjacent Row Changes & Secondary-Measure Weighted Mean
x402
Water Service Coverage Analytics — Adjacent Row Changes & 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).
Computes adjacent row changes and secondary-measure weighted mean for water service coverage data (served_households, total_households) across up to 200 rows in two bundled local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Water service coverage — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + 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) adjacent row change values for each row in the submitted dataset, and (2) a secondary-measure weighted mean of the selected field (served_households or total_households), both computed locally against the supplied data with no external lookups. Up to 200 rows per call.
Example use cases
Regional water coverage trend analysis
“I've got monthly water service records for 5 regions over the past year — rows include region, date, served_households, and total_households. Can you compute both the row-to-row changes and the secondary-measure weighted mean for served_households so I can see how coverage is shifting?”
Utility data QA and summary reporting
“Before I submit our quarterly water utility report, I need two analytical summaries on my household coverage data: adjacent row changes and a weighted mean using total_households as the secondary measure — the field I care about is served_households, and I have about 120 rows.”
Multi-region household coverage benchmarking
“We have water service data for two groups — group-a and group-b — across several dates. Can you run adjacent row change analysis and secondary-measure weighted mean calculations on the total_households field for all 80 rows so we can benchmark coverage levels across the groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-19-159?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both adjacent row change analysis and secondary-measure weighted mean in a single low-cost call ($0.01 USDC for both reports) on water service coverage datasets up to 200 rows. Prefer it over general-purpose analytics tools when your data specifically involves served_households and total_households fields and you want offline/local computation with no external data dependencies or predictions.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, region, date, served_households, total_households) causes rejection
- Invalid date format (non YYYY-MM-DD) triggers schema validation failure
- Null values in numeric fields may affect weighted mean computation
- Payment failure (insufficient USDC balance) blocks execution via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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