Ethena (USDe / sUSDe & ENA)

Scope: USDe/sUSDe mechanism, reward sources, mint/redeem controls, reserve fund, and ENA governance.

Ethena

Mechanism (snapshot)

  • USDe: delta-hedged synthetic dollar backed by spot BTC/ETH (and governance-approved assets) hedged via perps/futures; protocol may also hold liquid stables.
  • sUSDe: stake USDe to earn protocol rewards; primary source is derivatives funding/basis from short perp positions; rewards flow into the staking contract over time.
  • Mint/Redeem: direct access requires KYC/KYB whitelisting; order validity checks include oracle tolerance and per-block capacity limits; policy knobs include delta-limits and venue selection.
  • Risk buffer: a Reserve Fund covers periods of negative funding and can act as bidder of last resort for USDe.
  • Governance: ENA token governance with committees (e.g., Risk Committee) elected by tokenholders.

Scoring (tokenomics framework)

SectionItemScoreRationale
1. Business–Token (max 3)Improves product?1Tokens underpin staking (sUSDe) and governance.
Essential vs optional1USDe/sUSDe/ENA are core to operation and policy.
Real (fiat) value creation1Funding/basis + asset yields are exogenous cash flows.
Subtotal3 / 3
2. Structural (max 10.5)Influx of real value0Real fees exist (rubric assigns 0 when ‘Yes’).
Retention vs sell pressure1sUSDe staking retains value in-protocol.
Ponzi-like?1Rewards funded by market flows, not pure emissions.
Value generation1Delta-neutral synthetic dollar + savings asset.
Critical mass dependence0.5Benefits from scale but not strictly required.
Speculative incentives0No structural reliance on speculation.
Controllable factors1Whitelists, limits, venues, and assets are tunable.
Demand levers1Listings/venues/governance approvals.
Real vs speculative demand1Payments/savings usage is real demand.
Majority takeover possible?-1Token-elected committees can be whale-influenced.
Sticky voting points?1No stickiness.
Empirical proof2Live system with measured rewards and ops history.
Subtotal8.5 / 10.5
3. Allocation & Distribution (max 1)Pump-and-dump prone?0Not a P&D structure (stable + staked).
Excessive concentration?0No evidence of extreme skew (monitor).
Sell pressure avoided?1Staking sink; no heavy emissions.
Subtotal1 / 1
4. Stability & Stress (max 4)Shock resilience+1Hedging + Reserve Fund buffer shocks.
Appreciation under stressIgnored for pegged tokens.
Feedback loops leading to crash?+1Controls (limits, gatekeeper) reduce reflexivity.
Subtotal+2 / 4
TOTAL14.5 / 18.5 → AA (Very strong)

Strengths

  • Clear exogenous revenue (funding/basis, asset yields) and a staking sink (sUSDe).
  • Robust mint/redeem controls (whitelisting, oracle checks, per-block limits).
  • Reserve Fund and gatekeeper roles provide shock absorption.

Key risks

  • Funding rate regime shifts (sustained negatives) stress revenues despite the buffer.
  • Governance capture via committee elections if ownership concentrates.

Recommendations

  • Publish a negative-funding stress dashboard (duration × magnitude) with Reserve-Fund coverage bands.
  • Expand live policy-knob transparency (delta-limits, per-block caps, venue switches) with mirrored dashboards.
  • Strengthen anti-capture measures (committee election disclosures; quorum/term limits).

Audit #2 — EigenLayer (Restaking / EIGEN)

EigenLayer

Scope: Restaking model (ETH/LST/EIGEN), AVS rewards path, slashing design, programmatic incentives, and governance.

Mechanism (snapshot)

  • Restaking (liquid & native): deposit LSTs/ETH/EIGEN or re-point validator withdrawals to EigenLayer contracts to secure Actively Validated Services (AVS).
  • Rewards path: AVSs distribute token rewards via a coordinator (Merkle-proof claims); EigenLayer adds programmatic EIGEN incentives (≥4% of supply in year one) to bootstrap reward flows.
  • Slashing: AVSs can define slashing—objective or intersubjective. EIGEN is designed for intersubjective faults (fork-and-slash concept); 

Scoring (tokenomics framework)

SectionItemScoreRationale
1. Business–Token (max 3)Improves product?1Tokenized security market needs staking/lockups.
Essential vs optional1EIGEN/bEIGEN and restaked assets are intrinsic.
Real (fiat) value creation1AVSs pay rewards for security; value transfers to operators/restakers.
Subtotal3 / 3
2. Structural (max 10.5)Influx of real value0AVS rewards exist (rubric assigns 0 when ‘Yes’).
Retention vs sell pressure1bEIGEN/locking dynamics favor retention.
Ponzi-like?1Rewards sourced from AVSs; not pure emissions.
Value generation1Shared security expands AVS design space.
Critical mass dependence0Materially aided by scale—marked dependent.
Speculative incentives-1Early programmatic EIGEN incentives are speculative drivers.
Controllable factors1Incentive schedules and AVS integrations are tunable.
Demand levers1Rewards MVP + incentive boosts + AVS onboarding.
Real vs speculative demand1AVS rewards now flow on-chain; demand not purely speculative.
Majority takeover possible?-1Governance capture risk while policy hardens.
Sticky voting points?1No ve-style stickiness.
Empirical proof2Live AVS (e.g., EigenDA) and rewards MVP.
Subtotal7 / 10.5
3. Allocation & Distribution (max 1)Pump-and-dump prone?0Not structured as P&D.
Excessive concentration?-1Early distribution/operator power concentration risk.
Sell pressure avoided?1Staking/bEIGEN reduce immediate float.
Subtotal0 / 1
4. Stability & Stress (max 4)Shock resilience+1Operator/AVS segmentation + ‘unique security’ design.
Appreciation under stress-2Governance/work tokens rarely appreciate in stress.
Feedback loops leading to crash?+1AVS-level slashing and unique-security limit spillovers.
Subtotal0 / 4
TOTAL10.0 / 18.5 → BBB (Moderate)

Strengths

  • Clear value proposition: pooled/programmable security for AVSs; growing on-chain rewards rails.
  • Flexible slashing design enabling objective and intersubjective pathways.

Key risks

  • Incentive reflexivity while programmatic emissions are prominent; governance capture risk during policy evolution.
  • Operational concentration (large operators; AVS dependency) and correlated slashing scenarios.

Recommendations

  • Disclose operator/AVS concentration dashboards (share of restake, cross-AVS overlap) with red-flag thresholds.
  • Codify slashing legibility: standardized on-chain metadata and appeals process for intersubjective events.
  • Taper programmatic emissions against measurable AVS-native rewards to avoid speculative dominance.