ISFR Index

ISFR Dashboard: Benchmark of Internet Risk

In traditional finance, trillion-dollar credit markets rely on sovereign benchmarks like SOFR or LIBOR to price the true cost of capital and risk. In decentralized finance, pricing has historically been fragmented across siloed lending pools and volatile derivatives exchanges.

The Implied Secured Funding Rate (ISFR) Dashboard provides a live, transparent feed of DeFi's benchmark rate. It aggregates the deepest yield primitives in crypto into a single, robust index, serving as the "Risk-Free Rate" of the decentralized economy.

The ISFR is the heartbeat of the Sovereign Liquidity Agents, called The House which utilizes this benchmark to price yield perpetuals, spread targets, and ensure that Nunchi House Liquidity Providers are always capturing the optimal yield of the internet.

Dashboard Guide

You are looking at the real-time cost of capital across the DeFi ecosystem. Here is how to interpret the data:

1. Current ISFR Rate

The primary metric displayed on the dashboard is the current annualized ISFR. This number represents the baseline yield a liquidity provider should expect to earn on dollar-pegged assets, adjusted for current market demand and leverage.

If the ISFR is spiking, it indicates high demand for leverage (a bull market). If it is dropping, it indicates risk-off behavior.

2. Component Breakdown

The ISFR is a composite index. On the dashboard, you will see the individual rates that feed into the final calculation.

Component Sources & Weights:

Source	Measured	Weight	Notes
Aave V3	USDC Supply APY (Ethereum)	25%	Represents baseline, over-collateralized lending demand.
Compound V3	USDC Supply APY (Ethereum)	25%	Adds redundancy and depth to the lending baseline.
Ethena	sUSDe 7-Day Rolling Yield	25%	Represents delta-neutral basis trade capacity and institutional yield demand.
Hyperliquid	ETH-PERP Funding Rate (Annualized)	25%	Represents the real-time, high-frequency cost of directional leverage.

3. Historical Chart

The line graph tracks the ISFR over time against its underlying components. By observing the historical curve, quantitative traders can identify "regime shifts" in the market. Professional market makers use this chart to identify when specific protocols (like Aave) are lagging behind the true market rate (Hyperliquid funding), creating lucrative basis arbitrage opportunities.

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Methodology

To ensure the ISFR cannot be manipulated by a single whale or a flash crash on a single venue, the engine uses a robust aggregation formula.

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Developer API Integration

The ISFR is designed to be consumed. Ecosystem partners, automated trading agents, and institutional risk desks can pull the ISFR directly into their models to price derivatives, set dynamic margin requirements, or benchmark their own LP performance.

Public API Endpoints: The service exposes a REST API updating on a strict 1-hour schedule.

• Latest Rate: Fetch the current, live ISFR. GET /v1/isfr/current

• Historical Data: Fetch a time-series array of past rates (useful for charting and backtesting). GET /v1/isfr/history?days=30

• System Status: Verify the engine is actively scraping and calculating. GET /health

(Note: Rate limits may apply to public endpoints.)