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Waste Monitoring Trailing Mean Series
x402
Waste Monitoring Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Computes a trailing (rolling) mean time series for waste monitoring records across collected or recycled kg fields, grouped by material type.
Price / call$0.01
Success—
StatusUnknown
How this service works
Waste monitoring - Trailing mean series: Trailing mean series 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 trailing mean series deliverable.
Output
Returns a trailing mean time series for up to 200 waste monitoring records, providing smoothed numeric values for the selected field (collected_kg or recycled_kg) computed over the specified window size, along with data-quality indicators. Results are grouped by material type and ordered by date.
Example use cases
Smoothing municipal waste collection trends
“I have 90 days of daily waste collection records across three material types — paper, glass, and plastics — and I want to smooth out the collected_kg values using a 14-day trailing mean so I can spot underlying trends without daily noise.”
Recycling rate rolling average for sustainability report
“Can you calculate a 30-day trailing mean on the recycled_kg field for my waste monitoring dataset? I've got about 150 records with material types 'organic' and 'mixed', and I need the smoothed series for our quarterly sustainability report.”
Detecting anomalies against rolling baseline
“Run a trailing mean series with a window of 5 on our waste collection data — field is collected_kg, materials include 'cardboard' and 'metal' — so I can compare daily actuals against the rolling baseline and flag outliers.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-waste-monitoring-rolling?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have timestamped waste monitoring records (collected or recycled kg by material) and need a local, numerically computed trailing mean series without any external enrichment or forecasting. Ideal for smoothing daily waste collection fluctuations, generating rolling baselines for anomaly detection, or preparing trend-smoothed inputs for sustainability reports. It is bounded to 200 records per call and operates entirely on your supplied data, making it fast and deterministic.
Side effects
- Fewer than 2 records supplied — minimum 1 item required but window must be at least 2
- Window size exceeds number of records — leading rows will have insufficient data for a full window
- Invalid date format — dates must match YYYY-MM-DD pattern
- Field value not in enum — must be 'collected_kg' or 'recycled_kg'
- Numeric values out of bounds — collected_kg or recycled_kg outside ±1,000,000,000,000
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields row_id, material, date, collected_kg, or recycled_kg on any record
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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