Is Reserve Protocol Safe?
Risk Grade: B- (32/100)
Reserve Protocol is rated as moderate risk — some novel mechanisms, generally well-understood.
Moderate risk — creative insurance design, but the reflexive death spiral risk where selling the insurance token makes the problem worse is a structural flaw
A platform that lets anyone create a custom stablecoin backed by a basket of tokens, with RSR token stakers providing insurance against losses. It holds $200M across its stablecoins and raised $13.5M. Its B- grade reflects that the insurance mechanism is self-defeating: RSR's price drops during the exact market conditions when insurance is needed most.
TVL
$106M
Mechanisms
8
Interactions
5
Value Grade
C-
Key Risks for Reserve Protocol Users
The RSR insurance token drops in value during market crashes -- the exact moment it needs to cover losses. Selling RSR to pay for shortfalls drives its price down further, creating a death spiral
Anyone can create a stablecoin with any basket of tokens. A bad actor could create one designed to drain insurance money from RSR stakers
If one stablecoin's basket fails, the RSR sell-off to cover it can spook stakers across all other stablecoins, removing insurance across the entire system
Top Risk Factors
- •RSR insurance mechanism is reflexive: RSR price drops during exactly the stress events when insurance is needed, potentially creating a death spiral
- •Permissionless RToken creation allows anyone to deploy baskets that could trap RSR stakers in malicious or poorly-designed collateral configurations
- •Multi-collateral basket complexity creates compounding tail risk — failure of any single basket component can cascade through the RSR insurance layer to affect all RTokens
Risk Score Breakdown
Reserve Protocol's highest risk area is Scale Exposure (7/10). Here's how each dimension contributes to the overall 32/100 score:
Read the Full Reserve Protocol Risk Report
This protocol has 2 collapse scenarios. 3 high-severity interaction risks identified. See the full mechanism classification, interaction matrix, and deep-dive recommendations.
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