GlobePool has introduced a Dynamic Fee Rate Mechanism (DFRM) designed to stabilize net user returns and preserve settlement reliability during volatile market conditions. By monitoring price swings, network difficulty shifts, block congestion, and transaction fee spikes in real time, the platform dynamically adjusts fees within a disclosed boundary range. DFRM works in tandem with an AI scheduling engine, batch settlement optimization, and risk-mitigation routines to reduce slippage, cut failed transactions, and improve payout predictability.
Design principles and objectives
Stability-first: Maintain steadier per-hash net returns across volatility cycles while safeguarding platform sustainability during extreme fee events.
Bounded adjustments: All fee changes occur within a published min–max range to prevent overshoot and unexpected jumps.
Multi-factor triggers: Price volatility, difficulty delta, abnormal block intervals, gas spikes, and platform concurrency/settlement backlog metrics drive small, frequent adjustments.
Transparent reporting: Users can review reasons, timestamps, and magnitudes for adjustments, alongside summarized payout and fee dashboards.
Algorithmic components and coordination
AI scheduling synergy: Prioritizes tasks across currencies and time windows based on real-time profitability and latency, deferring non-critical workloads during high-fee periods to protect aggregate returns.
Batch settlement optimization: Consolidates micro-rewards, leverages intelligent fee estimation and priority packaging during busy epochs, lowering average transaction costs and failure rates.
Safeguards and rollback: Under severe congestion or anomalies, enables delayed settlement thresholds and rollback procedures, ensuring traceable payout confirmations.
User-facing improvements
Smoother net returns: Dynamic fees coupled with smart scheduling reduce fee drag during peak congestion.
Predictable arrivals: Batched settlements and priority routing shorten confirmation times and minimize rebroadcast/waste.
Transparency by design: Fee changes, transaction states, and cost breakdowns are visualized within the user console for auditability.
Tiered protection: High-activity and enterprise users gain prioritized lanes and policy-based floor rates during adverse conditions.
Enterprise and institutional features
Contractual fee boundaries: Fee ranges, triggers, and disclosure cadence can be codified in enterprise SLAs.
Multi-chain settlement: Distribution across supported L2s and sidechains reduces single-chain risk concentration.
Reporting and compliance: Monthly/quarterly payout and cost reports support audits and regulatory disclosure.
Forward roadmap
Adaptive boundaries: Periodic recalibration of ranges and weights using historical congestion and volatility data.
ZK/state channels: Migration of micro high-frequency rewards to lower-cost L2/off-chain paths with batched proofs to mainnet.
Carbon-cost coupling: Integrate energy cost and compute availability into scheduling for tri-optimization of yield, fees, and efficiency.
Company statement
GlobePool will continue iterating on its transparent, resilient, and verifiable fee and settlement stack. In an era of heightened volatility and persistent congestion, engineering-led, data-driven mechanisms are essential to deliver reliable long-term net returns and operational certainty for users.
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