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Operational Methodology

A technical deep dive into our cross-chain data pipeline, friction algorithms, and network traffic heuristics.

01

Data Pipeline Architecture

Our pipeline ingests data from multiple decentralized and centralized sources. Each data packet is timestamped and verified against on-chain reality to ensure sub-second accuracy for bridge fee calculations.

input
Ingestion
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Heuristic Engine
insights
Visualization
02

Friction & Efficiency Heuristics

compress FRICTION CALCULATION

Friction is defined as the total value lost during a cross-chain transfer, encompassing slippage, gas, and protocol fees.

f(x) = (G_gas + P_fee + S_slip) / V_init
where V_init > 0

speed EFFICIENCY SCORE

A normalized metric (0-100) comparing actual bridge performance against the current theoretical network optimum.

E = 100 * (T_ideal / T_actual) * (1 - Friction)
03

Core Assumptions

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Constant Gas Market

We assume gas prices remain stable during the window of calculation (~12 seconds). Any extreme volatility is flagged as "High Variance".

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Liquidity Depth

Calculations assume standard trade sizes. For whales (> $1M USD), friction estimates may deviate significantly due to order book impact.

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Finality Latency

Time-to-finality estimates are based on 30-day rolling averages of historical block inclusion times per chain.