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Waste Monitoring – Numeric Row Ordering
x402
Waste 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 waste monitoring records by a chosen numeric field (collected_kg or recycled_kg) with local data-quality processing.
Price / call$0.01
Success—
StatusUnknown
How this service works
Waste monitoring - Numeric row ordering: Numeric row ordering for Waste 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 waste monitoring rows reordered numerically by the specified field (collected_kg or recycled_kg), with data-quality checks applied locally. No external enrichment or forecasting is included.
Example use cases
Rank daily collection routes by weight
“I have 50 waste collection records from last month with row_id, material, date, collected_kg, and recycled_kg — can you sort them by collected_kg so I can see which routes collected the most waste?”
Order recycling batch by recycled volume
“Sort my recycling dataset by recycled_kg — I've got about 120 rows each with a row_id, material type, date, and both collected and recycled kilogram figures. I want to know which materials had the highest recycled amounts.”
Prioritize waste pickups by tonnage
“I need to prioritize our waste pickup schedule — take these 80 waste monitoring records and order them numerically by collected_kg so the heaviest collections appear first.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-waste-monitoring-sort?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a simple, cost-effective numeric sort of waste monitoring records (up to 200 rows) by collected or recycled weight, with basic data-quality processing, and do not require forecasting, enrichment, or complex analytics.
Side effects
- Rows array empty or missing — validation error returned
- More than 200 rows submitted — request rejected
- Invalid field value (not collected_kg or recycled_kg) — enum validation failure
- Row missing required fields (row_id, material, date, collected_kg, recycled_kg) — schema validation error
- Date field not matching YYYY-MM-DD format — pattern validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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