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Shipment Costs Trailing Mean Series
x402
Shipment Costs 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 2026-10-15).
Computes a trailing (rolling) mean series over shipment cost or weight records grouped by carrier, returning smoothed time-series values for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Shipment costs - Trailing mean series: Trailing mean series for Shipment costs. 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 bounded trailing mean series derived from the supplied shipment records, showing smoothed numeric values for the selected field (weight_kg or shipping_cost) computed over the specified rolling window, with one output value per record after the initial window is filled.
Example use cases
Carrier cost trend smoothing
“I have daily shipment records for two carriers over the past month and want to smooth out the shipping_cost noise — can you compute a trailing mean with a window of 7 for each day's data so I can see the underlying trend?”
Weight-based rolling average for freight planning
“Run a trailing mean series on my freight weight data using a window of 5 — I'll give you 50 rows with row IDs, dates, carrier names, and weight_kg values, and I need the smoothed weight output for capacity planning.”
Comparing carrier cost smoothness
“I have 100 shipment records split between three carriers across Q3 and I want to see a rolling 10-day mean of shipping_cost to compare how stable each carrier's pricing has been over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-shipment-costs-rolling?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, local rolling/trailing mean computation on structured shipment records (up to 200 rows) without requiring external data enrichment or forecasting. Ideal for smoothing noisy cost or weight time-series data in logistics workflows where you control the input data and need a bounded, deterministic statistical series returned quickly at low cost ($0.01 USDC).
Side effects
- Fewer than 1 row supplied — minimum item constraint violated
- Window size larger than number of rows — insufficient data for any mean calculation
- Invalid date format not matching YYYY-MM-DD pattern — schema validation error
- Numeric field values outside allowed range (±1 trillion) — rejected by schema
- More than 200 rows supplied — maxItems constraint exceeded
- Missing required fields (row_id, carrier, date, weight_kg, shipping_cost) — request rejected
- Payment not provided or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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