How to Use DeFiLlama for DeFi Research: A Complete Guide for Crypto Investors

DeFiLlama is the most comprehensive free analytics platform for DeFi protocol research, aggregating TVL (total value locked), fee revenue, trading volume, and ecosystem metrics across thousands of protocols and over 200 blockchain networks in real time. For Australian DeFi investors evaluating where to deploy capital, which protocols are genuinely growing versus merely printing token emissions, and how the broader DeFi ecosystem is evolving, DeFiLlama provides the market data layer that informed decision-making requires. Unlike centralised exchange platforms or financial data sites focused on token prices, DeFiLlama focuses on on-chain protocol metrics that reveal the underlying health and activity of DeFi protocols independent of the price movements of their governance tokens. Understanding how to read and interpret DeFiLlama data is a foundational skill for any serious DeFi participant.

Navigating DeFiLlama's Core TVL Dashboard

The DeFiLlama homepage displays the total DeFi TVL across all supported chains, with a breakdown of the top protocols by TVL and their recent percentage changes. The TVL metric represents the total dollar value of assets currently deposited in DeFi protocols (including lending collateral, liquidity pool deposits, staked assets, and other locked positions), though it has important measurement limitations: assets counted in multiple protocols simultaneously (if used as collateral to borrow another asset that is then re-deposited) inflate TVL relative to the actual user-deposited capital. Despite this limitation, TVL remains the most widely used measure of DeFi protocol size and is the primary sort criterion on DeFiLlama’s main ranking. Filtering by chain (to see only protocols on Ethereum or specific Layer 2 networks) and by category (to see only DEXs, lending protocols, yield optimisers, etc.) makes the ranking more useful for specific research tasks.

The TVL trend chart (visible on each protocol’s individual page) is more informative than the current TVL snapshot. A protocol with AUD 1 billion in TVL that was at AUD 3 billion three months ago is losing capital; a protocol with AUD 500 million in TVL that was at AUD 200 million three months ago is gaining capital. Capital flows reveal market confidence in the protocol and can indicate whether emission-driven TVL is sustainable or beginning to wash out. DeFiLlama displays 7-day, 30-day, and all-time TVL charts on each protocol page, making trend analysis straightforward. For DeFi investing, comparing TVL trends across competing protocols in the same category (e.g., comparing major decentralised exchanges by TVL trend) reveals which protocols are winning and losing market share over time, which is often more predictive of future performance than absolute TVL size.

DeFiLlama’s chain comparison view (accessible from the “Chains” tab) shows the total TVL and protocol distribution for each blockchain network supported by DeFiLlama. This chain-level view is useful for evaluating the relative maturity and diversity of different chain ecosystems before committing capital to protocols on a new or unfamiliar chain. A chain with 200+ protocols across lending, DEX, yield farming, and stablecoin categories has a more developed DeFi ecosystem than one with 10 protocols in a single category. The chain-level TVL chart shows whether capital is flowing into or out of each ecosystem, providing context for evaluating the long-term opportunity on emerging Layer 2 and alternative chain ecosystems. For Australian DeFi investors evaluating cross-chain DeFi strategies, this chain comparison is a logical starting point before diving into protocol-specific research.

Category Filters On Defillama

Category filters on DeFiLlama allow comparing protocols within a specific functional category rather than across the entire DeFi ecosystem. Filtering to “DEXes” shows all decentralised exchanges ranked by TVL, allowing direct comparison of Uniswap versus Curve versus AMM competitors. Filtering to “Lending” shows all DeFi lending protocols ranked by TVL, enabling comparison of Aave versus Compound versus Morpho and others. Filtering to “Yield” shows yield optimisers and aggregators. These category comparisons reveal market structure within each DeFi sector: how concentrated the market is (one dominant player or multiple competitors), whether there are new entrants gaining ground, and which specific protocols are the clear leaders. Market structure insights inform the risk assessment for protocols: dominant protocols with strong TVL advantages benefit from network effects that make them more stable than niche alternatives.

The “Stablecoins” tab on DeFiLlama provides dedicated tracking for the stablecoin market: total stablecoin supply by type (centralised vs. decentralised), individual stablecoin market capitalisation trends, chain distribution of stablecoin supply, and peg deviation data. For Australian DeFi investors who use stablecoins extensively in their DeFi strategies, the peg deviation chart (which shows whether each stablecoin is trading at, above, or below its target peg) is a real-time signal of stablecoin health. A persistent peg deviation in either direction indicates stress in the stablecoin mechanism that may indicate emerging problems worth investigating. The supply trend charts reveal whether new stablecoin supply is being minted (indicating growing demand) or being redeemed and burned (indicating capital leaving the ecosystem), which is a useful macro signal for overall DeFi market health.

Using Revenue and Fee Data for Protocol Evaluation

DeFiLlama’s “Fees” tab is one of its most valuable research tools for evaluating DeFi protocol quality independent of TVL. The fees dashboard shows the total fees generated by each protocol (representing the total cost paid by users for the protocol’s services: trading fees for DEXs, interest paid by borrowers for lending protocols, option premiums for options protocols) and the revenue retained by the protocol (the portion of fees that accrues to the protocol treasury or token holders after paying liquidity providers). High fee generation with low revenue (where nearly all fees go to LPs rather than the protocol) indicates a different risk profile than high revenue capture, since the protocol’s sustainability depends on user fees rather than token emissions. For protocols with governance tokens, the ratio of protocol revenue to token market capitalisation (the DeFi equivalent of a P/S ratio) provides a valuation anchor.

Comparing fee revenue trends to TVL trends reveals whether a protocol is genuinely active (high fees relative to TVL, indicating intense usage of deployed capital) or capital-idle (low fees relative to TVL, indicating capital sitting largely unused). An active DEX protocol generates trading fees proportional to its volume; if volume per dollar of TVL is declining, it may indicate that liquidity miners are depositing to earn emission rewards rather than from natural trading demand. A passive protocol (like a simple yield farming vault) generates fees through interest rates that fluctuate with DeFi market conditions; its fee generation is less volatile than a DEX. Understanding the relationship between TVL and revenue for the specific protocol category is necessary context for interpreting whether a given revenue-to-TVL ratio indicates efficiency or underperformance.

The “Revenue” sub-tab within the fees section specifically shows the portion of total fees that accrue to protocol stakeholders (token holders, treasury, team) rather than to liquidity providers. This is the most relevant metric for evaluating the financial return to governance token holders: if a protocol generates AUD 100 million in annual fees but 90% goes to liquidity providers and only 10% accrues to the protocol, the actual revenue backing the governance token is AUD 10 million. Comparing this protocol revenue figure to the governance token’s market capitalisation gives a DeFi-native P/S ratio that can be compared across protocols and against traditional finance valuation multiples. DeFi investing informed by revenue multiples rather than pure TVL hype is a more rigorous approach to DeFi token valuation that reduces reliance on the speculative narratives that drive short-term price movements.

Defi Investors

DeFiLlama’s “Bridges” section tracks the volume and TVL of cross-chain bridge protocols, which is relevant for DeFi investors who regularly move assets between chains. Bridge security has historically been a significant DeFi risk area (with major bridge hacks including Ronin Bridge, Wormhole, and Nomad representing some of the largest losses in DeFi history). Checking the TVL and security track record of any bridge protocol before using it to transfer meaningful capital is an important safety step. DeFiLlama’s bridge data includes the total assets secured by each bridge, the supported chains and assets, and links to audit reports where available. For Australian DeFi investors moving assets between Ethereum mainnet and Layer 2 networks, the native bridge for each L2 (controlled by the L2 rollup contracts rather than a separate bridge protocol) is generally the safest option, while third-party bridges offer more flexibility at higher smart contract risk.

DeFiLlama’s “Yields” tab aggregates yield opportunities across thousands of DeFi pools and strategies across multiple chains, allowing comparison of APY/APR for equivalent types of positions (stablecoin lending across multiple protocols, ETH staking and derivatives across multiple offerings, liquidity provision for specific token pairs across multiple DEXs). The yield comparison is most useful for identifying outlier yields in familiar position types that may indicate either genuine opportunity or elevated risk (since abnormally high yields in DeFi are typically associated with either unsustainable token emissions or elevated underlying risk). The yield data is updated frequently and tagged with whether the yield source is base APY (from genuine protocol revenue) or reward APY (from token emissions), which is a critical distinction for evaluating yield sustainability. Shepley Capital membership provides analysis of the yield landscape and guidance on evaluating yield sustainability in the Australian DeFi context.

Advanced DeFiLlama Features for Serious DeFi Research

DeFiLlama’s “Protocol” pages (accessible by clicking any protocol in the rankings or searching directly) provide protocol-level detail that goes beyond the high-level dashboard. Each protocol page shows: the TVL breakdown by chain (for multi-chain protocols, revealing where capital is concentrated), TVL trend over 7, 30, 90 days and all-time, fee and revenue data with trend charts, treasury balance and composition, governance token price and market capitalisation, and links to official documentation and social channels. For protocols that have experienced exploits, the TVL chart will typically show a dramatic drop at the exploit date, with recovery (or lack thereof) visible in the subsequent trend. This historical record is valuable for assessing how a protocol and its community responded to a security incident, which is predictive of how future incidents would be handled.

The “Liquidations” page on DeFiLlama tracks upcoming liquidation levels for major DeFi lending protocols across different price scenarios. This data shows, at any given asset price, how much collateral value in DeFi lending positions would be eligible for liquidation, expressed as a dollar value and as a percentage of the affected protocol’s TVL. Large liquidation walls at specific price levels (meaning many positions would be liquidated if the asset price fell to that level) represent potential volatility amplification points: if a price decline triggers a wave of DeFi liquidations, the forced selling of collateral can accelerate the price decline further. Understanding the liquidation map for ETH and major collateral assets is useful context for DeFi risk management and for gauging the potential for cascade events during market downturns.

DeFiLlama’s “Hacks” page provides a comprehensive database of DeFi exploit history, including the date, affected protocol, loss amount, attack type, and whether any funds were recovered. This database is an important research resource: before investing in any DeFi protocol, searching its name in the hacks database confirms whether it has been exploited and what the outcome was. The categorisation of exploit types (smart contract vulnerability, rug pull, oracle manipulation, flash loan attack, bridge exploit) allows researchers to understand the specific failure mode and evaluate whether the protocol has addressed it in subsequent code or design changes. Protocols that have been exploited, responded transparently, compensated affected users, and implemented stronger security measures have demonstrated a resilience that unproven protocols cannot claim. The DeFi security landscape is informed by this empirical record of what has actually failed and how.

Defi Investors

The DeFiLlama API provides programmatic access to most of the platform’s data, which is useful for DeFi investors who want to build their own dashboards, set up automated alerts based on TVL changes, or incorporate DeFi protocol data into portfolio management tools. The API is free to use for reasonable request volumes and covers TVL, fees, revenue, yield, liquidation, and stablecoin data. For technically capable Australian DeFi investors who maintain spreadsheet-based portfolio trackers, integrating DeFiLlama API data to automatically update protocol metrics alongside personal position data creates a more efficient monitoring setup than manual data entry. The API documentation is publicly available on DeFiLlama’s website and covers all available endpoints with example requests and responses.

Building a DeFiLlama-based research process as a standard component of your DeFi investment due diligence requires developing familiarity with how to interpret the specific metrics relevant to your investment focus areas. Australian DeFi investors focused on stablecoin yield will rely most heavily on the Yields tab and Stablecoins page; those focused on DEX liquidity provision will use the DEX category rankings and individual protocol fee data; those evaluating governance token investments will rely on the revenue and P/S data most heavily. Regardless of focus area, the TVL trend and hacks database apply universally to all DeFi research. Shepley Capital membership integrates DeFiLlama data into its ongoing DeFi protocol analysis and market intelligence, providing curated interpretation of the data for Australian members who want the insights without investing the time to build DeFiLlama fluency independently.

Frequently Asked Questions

How do you use DeFiLlama for research?

How do you navigate DeFiLlama's TVL dashboard?

How do category filters help compare protocols?

Category filters on DeFiLlama allow comparing protocols within a specific functional category rather than across the entire DeFi ecosystem. Filtering to "DEXes" shows all decentralised exchanges ranked by TVL, allowing direct comparison of Uniswap versus Curve versus AMM competitors. Filtering to "Lending" shows all DeFi lending protocols ranked by TVL, enabling comparison of Aave versus Compound versus Morpho and others.

How do you use revenue and fee data to assess a protocol?

DeFiLlama's "Fees" tab is one of its most valuable research tools for evaluating DeFi protocol quality independent of TVL. The fees dashboard shows the total fees generated by each protocol (representing the total cost paid by users for the protocol's services: trading fees for DEXs, interest paid by borrowers for lending protocols, option premiums for options protocols) and the revenue retained by the protocol (the portion of fees that accrues to the protocol treasury or token holders after paying liquidity providers). High fee generation with low revenue (where nearly all fees go to LPs rather than the protocol) indicates a different risk profile than high revenue capture, since the protocol's sustainability depends on user fees rather than token emissions.

What does the Bridges section show?

DeFiLlama's "Bridges" section tracks the volume and TVL of cross-chain bridge protocols, which is relevant for DeFi investors who regularly move assets between chains. Bridge security has historically been a significant DeFi risk area (with major bridge hacks including Ronin Bridge, Wormhole, and Nomad representing some of the largest losses in DeFi history). Checking the TVL and security track record of any bridge protocol before using it to transfer meaningful capital is an important safety step.

Which advanced DeFiLlama features support deeper research?

DeFiLlama's "Protocol" pages (accessible by clicking any protocol in the rankings or searching directly) provide protocol-level detail that goes beyond the high-level dashboard. Each protocol page shows: the TVL breakdown by chain (for multi-chain protocols, revealing where capital is concentrated), TVL trend over 7, 30, 90 days and all-time, fee and revenue data with trend charts, treasury balance and composition, governance token price and market capitalisation, and links to official documentation and social channels. For protocols that have experienced exploits, the TVL chart will typically show a dramatic drop at the exploit date, with recovery (or lack thereof) visible in the subsequent trend.

How can the DeFiLlama API be used?

The DeFiLlama API provides programmatic access to most of the platform's data, which is useful for DeFi investors who want to build their own dashboards, set up automated alerts based on TVL changes, or incorporate DeFi protocol data into portfolio management tools. The API is free to use for reasonable request volumes and covers TVL, fees, revenue, yield, liquidation, and stablecoin data. For technically capable Australian DeFi investors who maintain spreadsheet-based portfolio trackers, integrating DeFiLlama API data to automatically update protocol metrics alongside personal position data creates a more efficient monitoring setup than manual data entry.

What are the limits of DeFiLlama data?

DeFiLlama aggregates self-reported and on-chain data, so figures can be double counted across protocols and chains, and TVL in particular overstates genuine capital where the same assets are recycled through several protocols. TVL also measures deposits rather than quality, and rises with temporary incentives that reverse when emissions stop. Fee and revenue data is more useful for assessing durability, but coverage varies by protocol. It is a strong starting point rather than a verification tool.