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Accepted Effective Hashrate Rolling Mean Report
x402
Accepted Effective Hashrate 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 2026-10-14).
Computes a rolling mean of accepted effective hashrate (TH/s) over a sliding window given reported hashrate and rejection percentages for up to 200 time-series rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Accepted effective hashrate — Rolling mean report: Rolling mean report for Accepted effective hashrate. 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 bounded rolling mean report of accepted effective hashrate (in TH/s), computed from the provided rows of reported hashrate and rejection percentages using the specified window size. The report includes the rolling mean values per window position along with the formula and units used, but excludes live prices or return projections.
Example use cases
Smooth miner hashrate fluctuations
“I have a week of hourly hashrate readings from my Bitcoin miner — reported TH/s and rejection percentages for each hour. Can you run a rolling mean with a window of 6 to smooth out the accepted effective hashrate over those observations?”
Compare effective vs reported hashrate trend
“My miner reported these 10 readings ranging from 180 to 240 TH/s with rejection rates between 1.5% and 3.5%. Can you compute the rolling mean of accepted effective hashrate with a window of 3 so I can see the trend?”
Validate mining pool performance over time
“I want to check if my pool's accepted hashrate is staying stable. Here are 20 rows of reported TH/s and rejection percentages from the last 20 days — can you give me a rolling mean report with a window of 5?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-mining-accepted-ths-rolling?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to statistically smooth accepted effective hashrate data over a rolling window from your own mining observations, and want a formula-disclosed, bounded computation without live pricing or return projections. Ideal for post-hoc analysis of mining performance time series rather than real-time monitoring.
Side effects
- Fewer than 2 rows provided — minimum is 2 (minItems violation)
- Window size larger than the number of rows — sliding window cannot be applied
- reported_ths of 0 or negative — exclusiveMinimum enforced
- rejected_percent exceeds 100 — maximum constraint violated
- More than 200 rows submitted — maxItems exceeded
- Missing required fields reported_ths or rejected_percent on any row
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| window | integer |
Tags
x402
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