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Mining Energy Intensity Rolling Mean Report
x402
Mining Energy Intensity 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 energy intensity (kWh per BTC mined) over a sliding window of mining data rows
Price / call$0.01
Success—
StatusUnknown
How this service works
Mining energy intensity — Rolling mean report: Rolling mean report for Mining energy intensity. 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 energy intensity values (kWh per BTC) computed across the provided rows using the specified window size. The report uses supplied mining assumptions with formula and units disclosed, covering up to 200 input observations. No live prices or guaranteed returns are included.
Example use cases
Monitor mining efficiency over time
“I have a week's worth of daily mining logs — energy used ranges from 950 to 1200 kWh and BTC earned between 0.009 and 0.012 per day. Can you compute a rolling mean of energy intensity with a window of 3 to smooth out daily noise?”
Compare mining rig efficiency periods
“I want to see the rolling average kWh per BTC for two different rigs — here are 6 observations each with their energy and BTC output. Use a window of 2 so I can spot where efficiency improved.”
Evaluate impact of electricity price changes
“After changing my electricity provider last month, I collected 10 mining observations. Can you run a rolling mean with window size 4 on the energy per BTC data so I can see whether my energy intensity actually improved?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-mining-energy-per-btc-rolling?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a smoothed, rolling-window view of mining energy intensity (kWh per BTC) across a series of mining observations, rather than a single point-in-time calculation. It is ideal when you have sequential mining data and want to reduce noise or spot efficiency trends over time. Prefer this over simple averages when temporal smoothing matters, and over raw data inspection when you need a structured, formula-disclosed report.
Side effects
- Fewer than 2 rows provided — minimum row count not met
- Window size larger than number of rows — rolling mean cannot be computed
- energy_kwh or net_btc values are zero or negative — excluded by exclusiveMinimum constraint
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields energy_kwh or net_btc in any row — validation error
- Payment not processed — x402 payment required before response is returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| window | integer |
Tags
x402
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