Learn how we evaluate and rate DeFi protocols using our comprehensive 5-dimensional risk framework.

In the rapidly evolving landscape of Decentralized Finance (DeFi), assessing the safety and quality of a protocol is a complex challenge. Users and automated agents alike need a standardized, quantitative framework to evaluate risks objectively. We have developed a comprehensive DeFi Protocol Rating Framework that evaluates protocols across 5 main fields, generating a final score out of 100.
This methodology is designed to be rigorous, transparent, and uniform, ensuring that everyone—from individual investors to AI agents—can arrive at the same conclusion when verifying a protocol.
The final protocol score is calculated using weighted factors across five dimensions:
S1 - Smart Contract & Technical Risk (30%): Code security, audits, and technical maturity
S2 - Economic Design & Market Risk (25%): Economic model soundness and liquidity health
S3 - Governance & Centralization Risk (20%): Decentralization and control mechanisms
S4 - Sustainability & Competitive Position (15%): Longevity and business viability
S5 - Reputation & Social Trust (10%): Team credibility and community trust
Total Score = (S1 × 30%) + (S2 × 25%) + (S3 × 20%) + (S4 × 15%) + (S5 × 10%)
Below is the detailed breakdown of our 5-field rating system, including the exact source of information and point calculations, illustrated with real-world examples from protocols like Aave, Morpho, Ethena, Pendle, and Uniswap.
| Field | Sub-Field | Max Points | Weight |
|---|---|---|---|
| 1. Smart Contract & Technical Risk | 100 | 30% | |
| 1.1 Audit Coverage | 60 | ||
| 1.2 Code Maturity & Openness | 20 | ||
| 1.3 Upgradeability & Admin Control | 10 | ||
| 1.4 Bug Bounty & Incident History | 10 | ||
| 2. Economic Design & Market Risk | 100 | 25% | |
| 2.1 Core Mechanism Soundness | 10 | ||
| 2.2 Capital Quality & Stickiness | 25 | ||
| 2.3 Liquidity Stress Behavior | 15 | ||
| 2.4 Liquidity & Exit Accessibility | 40 | ||
| 2.5 Market Dependency | 10 | ||
| 3. Governance & Centralization Risk | 100 | 20% | |
| 3.1 Governance Structure | 30 | ||
| 3.2 Governance Token Distribution | 10 | ||
| 3.3 Admin & Emergency Powers | 30 | ||
| 3.4 Treasury & Transparency | 30 | ||
| 4. Sustainability & Competitive Position | 100 | 15% | |
| 4.1 Protocol Age & Survival | 30 | ||
| 4.2 Innovation vs Imitation | 30 | ||
| 4.3 Revenue & Self-Sufficiency | 40 | ||
| 5. Reputation & Social Trust Risk | 100 | 10% | |
| 5.1 Team & Founder Reputation | 40 | ||
| 5.2 Investors & Backers | 30 | ||
| 5.3 Community & Communication | 30 |
Final Score Formula: (S1 × 30%) + (S2 × 25%) + (S3 × 20%) + (S4 × 15%) + (S5 × 10%)
Max Score: 100
This section evaluates the code quality, security practices, and technical maturity of the protocol.
We prioritize quality over quantity. A single audit from a Tier-1 firm carries more weight than multiple audits from lesser-known firms.
Time is the best tester ("Lindy Effect"). We look for open-source code.
We assess "Rug Pull" risk here — who can change the code holding your money, and how much warning you get.
Step 1 — is there anything to govern? If no admin can change the fund-holding code or move, mint or freeze user funds, the protocol scores 10/10 and we stop. Contracts like these are immutable. Governance-controlled parameters — interest curves, collateral ratios, fee tiers, which assets are listed — are intended by design and do not count as an upgrade path.
Step 2 — otherwise, we score whoever controls the critical path on two axes:
| Axis | The bar |
|---|---|
| Multisig | At least 3 signatures required to act — the threshold, not the number of keys that exist. A 2-of-3 wallet fails, because two people acting together are enough. |
| Timelock | A contract-enforced delay of at least 24 hours before an upgrade takes effect, so depositors have a window to leave. |
Both axes satisfied: 10 Points.
Exactly one: 5 Points.
Neither — a single key, or a small multisig with no delay: 0 Points.
Two hard zeros, whatever else is in place: an admin who can mint the token without posting collateral, and a single externally-owned account sitting anywhere on the critical path with upgrade or fund-movement power.
We do not score signer identity. Establishing who actually holds the keys behind a multisig is slow and rarely conclusive, and asking raters to judge whether signers are "reputable" produced more disagreement than signal. We count the threshold and read the delay — two facts anyone can verify against the chain themselves.
Source: Etherscan (Read Contract/Owner), L2Beat (ZK/Optimistic Rollups), Protocol Docs.
Example: Morpho Blue scores 10/10 because the core lending contracts are Immutable — Step 1 ends it.
Active bug bounties incentivize whitehat hackers. Past incidents are charged against that credit.
Max Score: 100
This section assesses the soundness of the economic model and liquidity health.
Is the protocol built on a battle-tested model?
Replaces raw TVL size with a measure of durability.
Measures resilience during volatility.
Combines Liquidity Depth and Withdrawal/Lockup Risk. We score depth, not slippage at an arbitrary trade size. A fixed $1M probe is 0.007% of a $13.8B protocol and 50% of a $2M one — banding on it punishes small protocols for being small rather than for being hard to exit.
We score the best route a user could actually take. Some protocols are exited through a DEX, some through a redemption that is cheaper and faster than any DEX, and some hold no user capital at all.
Step 0 — is there an exit to score? The protocol holds no user funds between transactions (aggregators, routers, intent networks, services) → use the no-deposit bands below. Position self-resolves by design (option expiry, liquidation, insurance claim) → N/A, points redistributed.
Step 1 — list the routes a regular user can execute permissionlessly: native redemption/withdrawal, and sale on a secondary market. A route needing KYC, an allowlist, an operator signature or a support ticket is not a route.
Step 2 — cost each on value (slippage + fees + discount to NAV) and time (cooldown, queue, epoch).
Step 3 — score the best one. A deep market rescues a slow queue; a par-value redemption beats a thin market. Where both are bad, score the better of two bad options.
Step 4 — depth@2% on the winning route: the USD notional that exits within 2% of fair
value.
| Depth tier | depth@2% |
|---|---|
| Deep | ≥ $5M |
| Reasonable | $1M – $5M |
| Thin | $250K – $1M |
| Illiquid | < $250K |
Step 5 — relative modifier (depth@2% ÷ TVL): ≥ 10% promotes one tier, < 1%
demotes one tier. Never above Deep, never below Illiquid.
Step 6 — cross depth with the winning route's lockup. A liquid secondary market substitutes for the exit queue, so lockup only dominates when the market is thin.
| Deep | Reasonable | Thin | Illiquid | |
|---|---|---|---|---|
| No lockup / instant | 40 | 40 | 35 | 25 |
| Short lockup (≤ 7d) | 35 | 30 | 20 | 15 |
| Long lockup (> 7d) | 30 | 25 | 15 | 10 |
Predatory Exit Tax (> 5%): 0 Points, regardless of depth or lockup.
Depth is measured on the actual exit path: for a lending protocol that is withdrawing your supplied assets, not selling the governance token. For a prediction market it is selling on the order book or AMM, or redeeming at resolution. For a launchpad it is the buyer's exit through the bonding curve and graduated pool, not the platform's own token.
Aggregators, intent networks and services don't keep your money between transactions, but that doesn't make them risk-free. Users have lost funds through token approvals, settlement contracts and frontends without ever making a deposit. So these protocols don't get default points. Subfields 2.2, 2.3 and 2.4 keep their maximums and weights, but measure what can actually go wrong:
| Subfield | What we measure | Scores |
|---|---|---|
| 2.2 (25) | Flow quality: is the usage durable? | Organic, repeat flow 25 · Mixed 15 · Driven by incentives, wash trading or one integrator 5 · Trace 0 |
| 2.3 (15) | Execution under stress: did it keep working through past market stress? | Worked normally 15 · Degraded 10 · Failed, halted or no stress record 0 |
| 2.4 (40) | Approval and settlement exposure: what can you lose while using it? | See below |
| Exposure on the default path in the official app | Score |
|---|---|
| Atomic, with no standing approval | 40 |
| Standing approval to an immutable router | 30 |
| Standing approval to an upgradeable router with a timelock, or funds held during settlement with a permissionless refund | 20 |
| Standing approval to an upgradeable router without a timelock, or funds held during settlement with a refund that depends on the operator | 10 |
A protocol that also has deposit products has each part scored on its own track, then averaged.
Exposure to volatile assets and market-dependent revenue increases risk.
Max Score: 100
Evaluates who controls the protocol.
Decentralized governance is key to long-term trust.
The risk here is concentrated single-actor control, not the existence of emergency mechanisms. A multisig or timelock distributes authority; a single EOA concentrates it. Immutable protocols are trustless by design. All three non-EOA patterns are equally acceptable and score full marks.
Max Score: 100
Assesses the protocol's longevity and business model.
Surviving a bear market demonstrates resilience.
Innovators capture more value than generic forks.
Max Score: 100
By breaking down protocol risk into these 19 distinct sub-fields across 5 categories, we eliminate ambiguity. Whether you are a human analyst or an AI agent, following this DeFi Protocol Rating Framework ensures a consistent, data-driven assessment.
Special Cases:
Below is an example of how a well-established protocol like Aave might score across all five dimensions:
Aave Example Calculation:
DeFi Sentinel rates protocols out of 100 across five weighted dimensions: Smart Contract & Technical Risk (30%), Economic Design & Market Risk (25%), Governance & Centralization Risk (20%), Sustainability & Competitive Position (15%), and Reputation & Social Trust (10%). The total maps to letter ratings: AAA (90-100), AA (80-89), A (70-79), BBB (65-69), BB (60-64), B (55-59), and C (below 55).
S1 Smart Contract & Technical Risk covers audits, code maturity, and admin controls. S2 Economic Design & Market Risk covers mechanism soundness and capital quality. S3 Governance & Centralization Risk covers decentralisation and control mechanisms. S4 Sustainability & Competitive Position covers longevity and business viability. S5 Reputation & Social Trust covers team credibility and community.
The weighting reflects where DeFi losses historically originate. Smart contract bugs and exploits drive the largest single-event losses, hence 30%. Economic-design failures — broken peg mechanisms, token-emission spirals — are the second largest, hence 25%. Governance and reputation matter but rarely cause direct loss-of-funds events on the same scale, so they sit at 20%, 15%, and 10%.
On-chain metrics — TVL, audit status, governance activity — refresh daily through automated jobs. The full five-dimension score is recalculated at least quarterly and immediately after any qualifying event: an exploit, a major upgrade, an audit publication, or a material governance change. The 'Last updated' date on each protocol page shows the most recent recalculation.
Aggregators, intent networks and services get no default points, because users can still lose money through token approvals, settlement contracts and frontends. They use the same subfields and weights, but three subfields measure different things: 2.2 scores flow quality, 2.3 scores execution under past market stress, and 2.4 scores approval and settlement exposure, from 40 for an atomic swap with no standing approval down to 10 for an upgradeable router with no timelock. Revenue takes the same fees-versus-emissions test as every other protocol.
The framework is designed so they shouldn't. Each sub-field has documented scoring criteria with point values tied to verifiable evidence — audit reports, on-chain data, governance proposals. Minor differences can occur on subjective items like reputation, but the bulk of any score should be reproducible by an independent analyst working from the same source data.

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