Architecture & how it works
A proposed four-layer architecture that connects observations, analysis, decisions, and verifiable outcomes.
Architecture at a glance
The four-layer design below is the target architecture. Existing source reads, reports, and calculators cover part of it; the broader intelligence and execution layers remain research or planned work.
| Layer | Intended role | Current implementation |
|---|---|---|
| Data | Collect timestamped blockchain, pool, market, and operational inputs. | Published mining records and public network/account reads. Market-data normalization is planned. |
| Intelligence | Turn inputs into mathematical models, risk analysis, and profitability scenarios. | Descriptive reports and a constant-difficulty effort estimate. Calibrated profitability and optimization models are Research. |
| Automation | Support decisions, monitor policies, and eventually execute approved workflows. | Read/refresh workflows exist. Decision-engine actions, agents, and transaction execution are Planned. |
| Verification & reporting | Attach sources, assumptions, receipts, and on-chain evidence. | Dated source badges, explorer links, receipt records, and report exports. |
Data layer
Inputs should retain their origin, network, unit, observation time, and availability. A marketplace order, a pool reading, and a confirmed transaction describe different events. Market prices and exchange rates must also carry a timestamp and currency before they can support an economic model.
Intelligence layer
The intended layer combines descriptive analytics with mathematical modeling, risk scenarios, and comparisons between operational choices. Descriptive reports are available; calibrated prediction, profitability ranking, and cost optimization are research objectives.
Automation layer
Planned workflows would convert reviewed signals into decision support, alerts, and eventually approved execution. Each action needs input freshness checks, explicit limits, an authorization policy, and a verifiable record.
The current workspace does not autonomously rent hashpower, transfer funds, buy or burn $OLM, acquire NVDA, or distribute assets. A refresh or a visual animation does not imply an execution engine.
Verification & reporting
An observation should be traceable to its source. A model should state its version, inputs, assumptions, and uncertainty. A proposed decision should explain its basis, while a completed action should reference actual execution records.