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Waste Monitoring Date-by-Category Pivot
x402
Waste Monitoring Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Pivots up to 200 waste monitoring records into a date-by-material-category table for a chosen numeric field (collected_kg or recycled_kg).
Price / call$0.01
Success—
StatusUnknown
How this service works
Waste monitoring - Date by category pivot: Date by category pivot 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 date by category pivot deliverable.
Output
A pivot table (date-by-category matrix) where rows represent dates and columns represent material categories, with cells containing aggregated values of the selected field (collected_kg or recycled_kg), derived from up to 200 input records with local numeric processing.
Example use cases
Weekly recycling breakdown by material
“I have 80 rows of daily recycling data for November, each with a material type and recycled_kg — can you pivot those into a table showing recycled_kg for each material category across each date?”
Municipal waste collection trend view
“Pivot my waste collection records — about 150 rows — by date and material category using the collected_kg field, so I can see which materials are spiking on which days this quarter.”
Comparing material streams across collection dates
“I've got waste monitoring data for 6 material types over 30 days; reshape it into a date-by-category pivot on collected_kg so I can spot which streams peak mid-week.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-waste-monitoring-pivot?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured waste monitoring row data with material categories and dates and need a cross-tabulated pivot summary of collected or recycled quantities. It is ideal for local, bounded datasets of up to 200 records requiring no external enrichment, forecasting, or trend fitting — purely a reshape and aggregation operation over waste sector data.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, material, date, collected_kg, or recycled_kg) — validation error
- Date strings not matching YYYY-MM-DD format — schema validation failure
- No rows provided (minItems: 1 violated) — empty input error
- Invalid field enum value (not collected_kg or recycled_kg) — parameter error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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