BTC$80,472-1.12% ETH$2,343-2.33% USDT$0.9991+0.00% BNB$731.36-1.45% XRP$1.29-1.28% USDC$0.9996-0.01% SOL$101.39-2.26% TRX$0.3292-0.20% FIGR_HELOC$1.04+1.67% ZEC$1,204-2.08% HYPE$76.29-1.46% DOGE$0.0773-2.47% XMR$607.02+2.82% USDS$1.00+0.02% WBT$77.57-1.85% LINK$11.56-3.18% LEO$9.02-0.41% ADA$0.2066-3.42% XLM$0.1708-2.43% RAIN$0.008415+1.37% NEAR$4.47-6.77% BCH$275.53-3.10% USDE$0.9995+0.01% DAI$1.00+0.02% LTC$56.80-2.39% UNI$6.80-4.13% CC$0.1013-1.43% AVAX$8.92-1.87% USD1$0.9990+0.01% SUI$0.9371-4.14% GRAM$1.25-3.69% HBAR$0.0777-0.67%
Menu
Home
Assets
Coverage
All assetsEvery research file, largest firstSectorsWhat each category holds and weighsRankingsFourteen leaderboards and what they missHeat mapThe market sized by value, shaded by changeGlobal marketTotal capitalization, dominance and volume
Tools
ScreenerFilter by fundamentals, supply and riskCompare assetsResearch files side by sideSavedThe assets you have starred
Fundamentals
Economics
Fees & revenueWhat users pay, and who keeps itValue lockedCapital deposited in each networkExchange volumeTrading on decentralized exchanges
Networks
Network activityAddresses, transactions and throughputStablecoinsDollar tokens, where they live and what backs themStaking & yieldWhat securing a network pays, after issuance
Valuation
Standardized measures
Valuation ratiosPrice against fees and revenue, limits statedSupply & issuanceCirculating, maximum and the dilution aheadMetric definitionsEvery figure: definition, period, limitation
Institutional
Regulated access
Exchange-traded productsEvery US-listed fund, with a page eachCorporate treasuriesListed companies holding digital assets
Research
Analysis
Research notesShort notes written from stored figuresEvents calendarUpgrades, halvings and policy dates
Risk
Risk frameworkFifty factors in seven familiesSecurity incidentsExploits and failures, with the losses
Learn
Education
Learn libraryEleven tracks, from first principlesGlossaryEvery term in plain EnglishCalculatorsFee drag, dilution and conversion
How this site works
MethodologyHow every figure is measuredData sourcesWho publishes what we showData freshnessWhen each feed last ranAI agentsPrompts that keep an assistant on our dataPublic APIThe same figures, as JSON
News Ask the data About us
Reading options
Guided view

New to markets — prices, yields, market cap? We explain every term as you browse, in plain English. Same data, with the help built in.

Expert view

You already know the market. Just the data — clean, fast and compact, with no extra explanations. This is the default view.

View
Light or dark
Language
Photography PhotographyStill lifeCryptoStudio
Public API

Every figure on this site is available as JSON, with its period and source attached.

Read the API docs
Fundamentals Fee Chg 30d percent

Fee Growth (30d vs Prior 30d)

The percentage change in user-paid fees between the last thirty days and the thirty days before that.

This compares two adjacent one-month windows built with the same adapter, which removes most definitional noise and isolates the change in fee payments. It is the simplest way to see whether demand for a protocol's blockspace or services is expanding or contracting. It is a comparison of two totals, not a trend line, so it says nothing about the path between them.

How it is computed

(protocol fees over the last 30 days / protocol fees over the 30 days before that - 1) x 100

Where it misleads

Because both windows are measured in US dollars, a token price move changes this number even when transaction counts are identical: a chain whose native token halved can print falling fees on rising usage. Young or small protocols have tiny denominators, so an ordinary week produces percentages in the hundreds that carry almost no information. Incentive campaigns, airdrop farming seasons and a single congested week lift the recent window and guarantee a negative reading once they end, which is a calendar effect rather than deterioration. Retroactive adapter revisions change both windows after publication, and a protocol that added a new chain deployment mid-period shows growth that is coverage, not demand.

The equity comparison, and why it fails

Revenue growth. The analogy fails because reported corporate revenue growth is currency-adjusted and audited against a stable definition, while this figure mixes activity, token price and adapter scope in one percentage.

Reading a high or a low value

A positive value means more was paid in fees over the recent month than the month before, and a negative value the reverse. Check whether the token price moved over the same period before attributing the change to usage.

01

Highest values in our coverage

Ordered by the figure alone. This is not a ranking of quality and carries no view.

#AssetFee Growth (30d vs Prior 30d)
1 PufferPUFFER 20,845,614.29%
2 EthenaENA 238,823.69%
3 FLOCKFLOCK 41,937.04%
4 NeonNEON 35,150.00%
5 GRX ChainGRX 6,900.00%
6 BerachainBERA 1,367.65%
7 TezosXTZ 445.45%
8 ZilliqaZIL 437.31%
9 RenderRENDER 313.96%
10 DiemDIEM 200.00%
11 BlastBLAST 176.32%
12 TectonicTONIC 162.50%
13 VerantaAVNT 154.81%
14 IlluviumILV 119.90%
15 Yield BasisYB 106.47%
Digital Asset DatabaseDigital asset research & education

Assets

All assetsSectorsRankingsHeat mapScreenerCompareSaved

Fundamentals

Fees & revenueValue lockedExchange volumeNetwork activityStablecoinsStaking & yield

Valuation & risk

Valuation ratiosSupply & issuanceMetric definitionsRisk frameworkSecurity incidents

Institutional

Exchange-traded productsCorporate treasuriesEventsResearch notesNews

Learn

Learn libraryGlossaryCalculatorsAsk the dataAI agentsPublic API

About

About usContactMethodologyData sourcesEditorial policyData freshness

Legal

DisclaimersTerms of usePrivacy policy