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Agricultural Output Trailing Mean Series + Secondary-Measure Weighted Mean
x402
Agricultural Output Trailing Mean Series + 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 2026-10-23).
Computes a trailing moving average series and a cultivated_hectares-weighted mean for supplied agricultural output records (output_tonnes, cultivated_hectares) over up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Agricultural output — Trailing mean series + Secondary-measure weighted mean: Trailing mean series + Secondary-measure weighted mean for supplied agricultural output records (output_tonnes, cultivated_hectares). 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 independent analytical reports: (1) a trailing mean series showing the rolling average of the selected field (output_tonnes or cultivated_hectares) over the specified window size for each row, and (2) a cultivated_hectares-weighted mean of the selected field across the supplied records. Both reports are computed locally with no external lookups.
Example use cases
Smoothing regional crop yield trends
“I have monthly output_tonnes and cultivated_hectares data for 5 farming regions over the past year — can you run a trailing mean with a window of 4 and also give me the hectares-weighted mean for output_tonnes across all those rows?”
Weighted harvest analysis by farm size
“I need to weight-average our wheat output_tonnes by cultivated_hectares across 50 farm records from 2025 and also get the rolling 6-period mean series — here are the rows with row_id, region, date, output_tonnes, and cultivated_hectares.”
Quality-checking agricultural time-series smoothing
“Can you take these 30 rows of rice production data — each with a date, region, output_tonnes, and cultivated_hectares — and produce both the trailing mean series over a window of 5 and the cultivated_hectares-weighted mean so I can compare the two?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-16-151?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a trailing moving-average time series and a secondary-measure (cultivated_hectares) weighted mean computed together on agricultural records in a single call at low cost ($0.01 USDC for both reports). Ideal for small-to-medium datasets (up to 200 rows) where no external data lookup or prediction is needed — just local statistical computation on your own supplied records.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — exceeds maximum limit
- Invalid date format (must match YYYY-MM-DD pattern)
- Window size less than 2 or greater than 200
- Missing required fields: row_id, region, date, output_tonnes, or cultivated_hectares
- Null values in both primary and secondary measure fields preventing computation
- Payment not completed — x402 payment of 0.01 USDC required per call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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