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Mining Hardware Purchase Budget — Rolling Mean Report
x402
Mining Hardware Purchase Budget — Rolling Mean Report 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 rolling mean of total mining hardware purchase costs (units × unit price + shipping) across a sequence of purchase rows with a configurable window size.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mining hardware purchase budget — Rolling mean report: Rolling mean report for Mining hardware purchase budget. Supplied mining assumptions only; formula and units disclosed. No live prices, mining or guaranteed return. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one bounded rolling mean report report.
Output
A rolling mean report showing smoothed average total purchase costs (computed from units × unit_usd + shipping_usd per row) across the specified window, covering up to 200 input rows with a window between 2 and 200. Returns computed averages based on supplied assumptions; no live pricing or guaranteed returns are included.
Example use cases
Smoothing rig procurement spend spikes
“I have 6 monthly mining hardware orders with varying unit counts and prices — can you compute a rolling mean with a window of 3 so I can see the smoothed average procurement cost across those purchases?”
Comparing budget trend across fleet expansions
“We bought ASIC miners in 5 batches, quantities from 8 to 25 units priced between $2500 and $4000 each plus shipping. Run a rolling mean report with a window of 2 so I can spot the cost trend.”
Rolling cost baseline for hardware budget planning
“I need a rolling average of our mining rig purchases over the last 8 orders — each has a unit count, price per unit, and shipping cost — can you generate that report with a window size of 4?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-mining-fleet-purchase-rolling?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a statistical smoothing of mining hardware procurement costs across multiple purchase events using a configurable sliding window. It is specifically suited for capital expenditure trend analysis on mining rigs (ASICs, GPUs, etc.) where raw purchase data is noisy and a rolling mean helps surface the underlying cost baseline. Prefer this over single-calculation endpoints when you have a sequence of 2–200 purchases and need windowed aggregation rather than a point-in-time total.
Side effects
- Fewer than 2 rows provided — minimum row count not met
- Window size larger than number of rows — insufficient data for rolling calculation
- Non-positive unit count or unit price — exclusiveMinimum constraint violation
- More than 200 rows submitted — maxItems limit exceeded
- Missing required fields (units, unit_usd, shipping_usd) in any row — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| window | integer |
Tags
x402
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