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Water Monitoring Numeric Row Ordering
x402
Water Monitoring Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).
Sorts up to 200 water monitoring records (sites, dates, litres, cost) by a chosen numeric field in ascending order.
Price / call$0.01
Success—
StatusUnknown
How this service works
Water monitoring - Numeric row ordering: Numeric row ordering for Water monitoring. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded numeric row ordering deliverable.
Output
Returns the submitted water monitoring rows reordered numerically by the specified field (litres or cost), preserving all original fields (row_id, site, date, litres, cost) in sorted sequence. Up to 200 rows processed locally with data-quality checks applied.
Example use cases
Rank sites by daily water consumption
“I have daily readings from 12 water monitoring sites for this month — can you sort all the rows by litres so I can see which sites used the least and most water in order?”
Identify highest-cost water usage periods
“Sort these 50 water monitoring records by cost so I can see which dates and sites had the most expensive water usage at the top of the list.”
Prioritize low-volume sites for inspection
“I've got 80 water monitoring entries across several sites — sort them by litres ascending so I can flag the lowest-volume sites first for our maintenance team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-water-monitoring-sort?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 water monitoring records with site, date, litres, and cost fields and need them sorted numerically by either litres or cost. It is purpose-built for water-sector data with local quality processing, making it ideal for lightweight sorting without needing a general-purpose data platform. Best when data is already typed and structured per the schema.
Side effects
- Missing required fields (row_id, site, date, litres, cost) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds maxItems limit
- Empty rows array (minItems:1 violated) returns error
- Null numeric values for sort field may affect ordering output
- Invalid field enum value (not 'litres' or 'cost') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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