Is Hydrex Integral Safe?
Risk Grade: C+ (36/100)
Hydrex Integral is rated as elevated risk — multiple novel mechanisms and notable interaction risks.
Elevated risk — promising ve(3,3) DEX design on Base with innovative social integration, but very limited track record and standard Solidly-fork governance vulnerabilities.
Hydrex Integral is a ve(3,3) DEX and liquidity hub built specifically for the Base chain, aggregating liquidity from its own pools and external Base DEXs for best-price routing. With ~$11M TVL, $178M cumulative volume, and weekly community governance directing HYDX emissions, it follows the proven Solidly/Velodrome model with added MetaDEX routing. The C+ grade reflects its very limited track record as a new protocol, with standard ve(3,3) governance risks and dependency on external liquidity sources.
TVL
$9M
Mechanisms
5
Interactions
4
Value Grade
D+
Key Risks for Hydrex Integral Users
Very new protocol with limited production history on Base — has not yet been tested through major market stress events
ve(3,3) governance model is susceptible to whale capture and bribery dynamics — concentrated veHYDX holders could direct emissions for private benefit
Routing trades through external Base DEXs creates dependency on third-party smart contract security beyond Hydrex's control
Top Risk Factors
- •Very new protocol with limited track record — ve(3,3) model on Base with minimal production stress testing
- •Liquidity routing across external DEXs introduces dependency on third-party smart contract security
- •HYDX governance emissions directed by weekly community votes — susceptible to ve(3,3) bribery and gauge capture dynamics
- •Farcaster social integration adds non-standard attack surface for user onboarding flows
Risk Score Breakdown
Hydrex Integral's highest risk area is Track Record (14/15). Here's how each dimension contributes to the overall 36/100 score:
Read the Full Hydrex Integral Risk Report
This protocol has 2 collapse scenarios. 1 high-severity interaction risks identified. See the full mechanism classification, interaction matrix, and deep-dive recommendations.
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