
TokenTerminal is a data analytics platform focused on the "fundamentals" of crypto projects. It organizes on-chain and open-source data into standardized, comparable metrics, enabling you to assess project quality beyond just price action. The platform offers dashboards, project comparisons, data downloads, and API access—commonly used for researching DeFi, Layer 2s, and infrastructure protocols.
Many users focus only on token price and market cap, neglecting whether a protocol actually "generates revenue." TokenTerminal translates key metrics such as protocol revenue, transaction fees, developer activity, and user behavior into a unified framework, making it possible to compare different projects side by side.
TokenTerminal adds value by standardizing fragmented on-chain and open-source data into reusable research frameworks. Whether you are an investor, analyst, or product team member, you can quickly answer critical questions like "Is this protocol healthy? Is it experiencing real growth?"
Typical use cases include: checking a protocol’s revenue and user trends on TokenTerminal before viewing a token’s price on Gate; using sector comparisons to filter for projects with more stable growth; or minimizing statistical errors in research reports by relying on standardized metrics.
TokenTerminal tracks several categories of metrics:
Protocol Revenue and Fees: Transaction fees are what users pay on-chain for services, similar to customer payments in a store. Protocol revenue represents the portion of those fees that actually flow to the protocol treasury or token holders—akin to a company’s distributable earnings. Allocation ratios differ by protocol, and TokenTerminal displays these separately.
Active Users and Interaction Count: These measure usage intensity. Active users refer to unique addresses interacting with the protocol over a period. Interaction count tracks how often smart contracts are called—helping distinguish between activity driven by a few whales or many retail users.
FDV (Fully Diluted Valuation): This is the projected total value of a protocol if all tokens are issued. It is similar to valuing a company based on its maximum potential share count. Since many tokens are not fully unlocked, FDV highlights long-term supply pressures.
Valuation Multiples (e.g., P/S, P/Fees): The Price-to-Sales (P/S) ratio is calculated by dividing market cap or FDV by revenue over the past year. A higher ratio means the market pays more for each dollar of revenue. P/Fees substitutes transaction fees for revenue when distribution structures differ.
Developer Activity: Sourced from public repositories like GitHub, this tracks code commits and merges—reflecting ongoing development. While not an absolute quality measure, it provides additional insight into project fundamentals.
TokenTerminal aggregates two main data types: on-chain and open-source.
TokenTerminal cleans, categorizes, and deduplicates these sources to produce standardized metrics.
Protocol "fees" are calculated by aggregating relevant contract events and transaction logs. "Revenue" is further refined to reflect only what enters the protocol treasury; these numbers may differ. For comparison, values are typically converted to USD using on-chain or exchange rates (per TokenTerminal’s public methodology as of 2024).
As of 2024, TokenTerminal covers major ecosystems such as Ethereum, Solana, BSC, Polygon, Arbitrum, and leading protocols within them. Update frequency and definitions may vary—refer to the project’s page for details.
Valuation involves three steps: choosing metrics, calculating ratios, and making comparisons.
Each platform has a distinct focus:
Practical advice: Use TokenTerminal for initial fundamental screening; switch to Dune for customized queries or deep dives into specific contracts; rely on Gate’s spot or derivatives markets for real-time trading and order book verification.
All data platforms have definition constraints. For complex protocols, allocating "revenue" versus "fees" may lag or be imprecise; multi-chain deployments add further complexity. Open-source activity does not necessarily reflect product quality—combine it with user and revenue trends for validation.
Valuation multiples are only guides; if tokens lack cash flow or governance incentives, P/S or P/Fees ratios have limited meaning. Data updates can lag; methodologies evolve over time. Always cross-check with whitepapers, community announcements, and on-chain validation—and practice sound risk management in financial decisions.
TokenTerminal standardizes fragmented on-chain and open-source data into comparable metrics such as "revenue," "fees," "users," "FDV," and "multiples," helping you build repeatable research frameworks. Understand how each metric is defined before making peer comparisons; combine findings with Gate’s market data for a dual-layer analysis of fundamentals plus price action. As a next step, select a sector of interest—use the comparison tool to build your watchlist—and pair rolling 12-month revenues with FDV to track long-term trends instead of short-term volatility.
Token Terminal is designed for on-chain data enthusiasts, crypto investors, and project teams. If you want to analyze real operating metrics of DeFi projects—such as revenue or user growth—instead of just price trends, Token Terminal offers professional-grade analytics tools. It is particularly useful for due diligence and investment evaluation.
Data on Token Terminal is typically updated within minutes to hours after on-chain transaction confirmation; most key metrics are near real-time. However, update speed depends on data sources and indicator types—check the update frequency for your desired metric before making decisions.
Absolutely. Token Terminal provides visual dashboards and charts—users with zero programming experience can easily click through various data points. Core features like project comparison and metric filtering offer a user-friendly UI; beginners can quickly get started using the documentation or tutorials.
The free version provides basic project data queries and limited metric access—suitable for casual research. The paid version unlocks full metric sets, advanced filtering, custom reports, and priority support services. For in-depth analysis or real-time monitoring needs, consider upgrading to the paid plan.
Screen for undervalued projects by comparing P/S ratios (price-to-revenue), user growth trends, on-chain activity, etc. Undervalued projects often show rising revenues without corresponding increases in valuation or have stable user bases but low market caps. Always use multiple indicators in combination rather than relying on a single metric for investment decisions.


