Pyth PYTH

Unclear use of revenue

DefiLlama’s methodology does not make clear whether holders revenue is bought back or paid out.

Oracle, Data Network, ZetaChain, Blast +65, 83 days of data

Not ranked: nothing returned to holders in the last 30 days (effective holders revenue $0)

Market cap

$518.4M

price $0.0644 · 7d +6.3% · 30d −15.8%

FDV $644.3M (1.2× market cap)

source defillama

Counted per year

holders revenue of the last 30 days, $0, × 365 ÷ 30, × type factor 0.5 (an unclear use counts 50%)

Unclearbuyback share 0%

Nothing went to holders in the last 30 days, using 0¢ of every $1 it earns.

Not a buyback: counts for 50% in the multiple (type factor 0.5), so the denominator is $0 instead of $0.

Multiple

∞

no effective holders revenue: nothing flows back to holders, so the multiple is unbounded

Run-rate

∞

last 7 days $0 × 52 × 0.5 (type factor) = $0 a year

What we checked

Valuation
No effective holders revenue, so the multiple is ∞: nothing to value the token on.
Distribution
Unclear: The DefiLlama methodology does not say where holders revenue goes. Holders got $0 of $623k revenue in 30 days → buyback share 0%. No methodology sentence to rest the classification on.
Sustainability
Holders were paid on 0 of 30 days (0%); largest single day — of the month's holders revenue; paid to holders this week: 0% of the best week in 90 days (more than half below peak). Revenue −100% over 7 days and +12% over 30 days, price −16% over 30 days.

What this does not tell you

The figures come from DefiLlama's adapter for each child protocol. Only a few tokens have an on-chain check (see How the buyback really works); for the rest, whether the tokens were really bought, burned or parked in a treasury wallet is not checked here. Unlocks count where DefiLlama or our research has a vesting schedule; team discretion and liquidity depth only once researched.

Flags

Payout >50% below peakthis week's holders revenue is 0% of its best week in the last 90 days ($1)
Small peer group51 peers in universe; median taken from the universe level
Data issue: chain mapping missingData issue (chain mapping missing): warning, scores are computed as usual

How the buyback really works

Not researched yet. Everything above comes from DefiLlama and market data only.

Holders revenue / revenue (30d): $0 / $623k; last 30 closed days
To holders: Nothing went to holders in the last 30 days
FDV / dilution: $644.3M / 1.2×; FDV ÷ market cap
Price 7d / 30d: +6.3% / −15.8%
Revenue growth 7d / 30d: −100% / +12%; versus the period before
Divergence: 0.29; revenue growth minus price growth, 30d
DEX liquidity: $529k; DexScreener, representative pools
24h volume: $31.0M; all markets, CoinGecko
Unlocks 30d: $0; DefiLlama vesting schedule: nothing unlocks
Revenue multiple: 68.3×; market cap ÷ revenue per year
Fee multiple: 40.9×; market cap ÷ fees per year
Distance to peak: 0%; this week ÷ best week of 90 days
Data since: Aug 22; first day with holders revenue

Holders revenue and price

Holders revenue per day7-day averagePrice (right axis)

Multiple over time

today ∞ (scored) · peer median 19.6×

Market cap at close ÷ (holders revenue of the previous 30 days × 365 ÷ 30), with holders revenue capped at revenue and × the type factor: the same effective multiple as the peer median. Values above 100× are drawn at the top. Bands as on the meter; dashed line = peer median today.

Signal history

No signals for this token yet.

Versus peers

universe (whole universe) · 52 tokens (51 with a multiple) · median multiple 19.6×

Main-ranking peers only. Multiples count holders revenue capped at revenue, × the type factor (buyback 1 · buyback + burn 1 · burn 0.75 · mixed 0.75 · distribution 0.5 · unclear 0.5 · ve-distribution 0.25).

This token against its main-ranking peers: multiple, revenue multiple, buyback share, holders revenue, market cap and revenue growth
Token	Distribution	Multiple	Revenue multiple	Buyback share	To holders 30d	Market cap	Rev. growth 30d
Pharaoh Exchange	ve / bribes	0.3×	0.2×	100%	$1.3M	$2.4M	−53%
PaperStrategy	Buyback + burn	0.3×	0.1×	43%	$743k	$2.8M	−2%
OTC	Buyback + burn	0.5×	0.2×	43%	$284k	$1.6M	+99%
RamsesX	Mixed	0.7×	0.5×	90%	$347k	$2.2M	+8%
nest	Distribution	0.8×	0.4×	100%	$868k	$4.3M	+30%
ORE Protocol	Buyback + burn	1.0×	1.0×	99%	$4.2M	$50.2M	+31%
StonkFun	Buyback + burn	1.9×	1.1×	60%	$1.6M	$36.7M	−88%
up	ve / bribes	2.0×	1.0×	100%	$300k	$3.7M	−70%
Fake World Assets	Buyback + burn	2.3×	1.6×	80%	$142k	$3.5M	−72%
THORSwap	Mixed	3.4×	1.9×	75%	$311k	$9.7M	+37%
Marinade	Buyback	5.0×	2.5×	50%	$191k	$11.7M	−14%
Chainflip	Buyback + burn	5.6×	5.6×	100%	$536k	$36.3M	+56%
Pons	Buyback + burn	6.2×	6.2×	104%	$1.4M	$101.8M	−83%
Pump	Buyback	6.2×	2.7×	44%	$21.5M	$1.6B	−27%
Usual	Mixed	6.5×	3.4×	70%	$372k	$22.1M	+72%
Aero	ve / bribes	8.0×	3.7×	96%	$7.4M	$352.3M	−8%
Tornado Cash	Mixed	9.7×	7.3×	100%	$260k	$23.1M	−30%
SSV Network	Mixed	12.1×	9.1×	100%	$271k	$30.0M	−12%
Spark	Buyback	12.9×	3.6×	28%	$344k	$54.5M	+144%
Lighter	Buyback	15.4×	12.4×	81%	$4.4M	$841.1M	+12%
edgeX	Buyback	16.3×	7.0×	43%	$605k	$120.4M	−44%
Lido	Buyback	18.5×	7.0×	37%	$0	$257.1M	−5%
Geodnet	Buyback + burn	18.6×	14.9×	80%	$746k	$169.4M	0%
Bankr	Distribution	19.2×	8.4×	86%	$190k	$23.9M	−85%
ApeX Protocol	Mixed	19.4×	14.5×	100%	$148k	$26.1M	−20%
deBridge	Buyback	19.9×	15.2×	77%	$352k	$85.6M	−12%
PancakeSwap	Buyback + burn	20.9×	13.6×	65%	$2.4M	$602.4M	−29%
Hyperliquidleader	Buyback + burn	21.4×	21.4×	100%	$68.7M	$17.66B	−4%
Yield Basis	ve / bribes	22.4×	7.9×	100%	$148k	$14.3M	41.0×
Raydium	Buyback	27.0×	16.7×	62%	$1.3M	$421.9M	−65%
Sky	Mixed	27.0×	8.4×	41%	$5.5M	$1.37B	−2%
Curve Finance	ve / bribes	30.5×	11.1×	94%	$2.6M	$376.7M	+44%
Maple Finance	Buyback	35.5×	7.1×	20%	$317k	$138.2M	+6%
Uniswap	Buyback + burn	36.6×	36.6×	100%	$8.2M	$3.59B	−19%
GMX	Distribution	37.0×	13.5×	73%	$363k	$82.1M	+15%
Collector Crypt	Buyback + burn	37.5×	1.0×	3%	$380k	$176.8M	−5%
Convex Finance	ve / bribes	45.8×	13.6×	95%	$866k	$153.1M	−4%
Aster	Buyback + burn	51.1×	∞	—	$2.7M	$1.71B	—
Orca	Buyback	52.2×	8.1×	15%	$120k	$77.1M	−37%
dYdX	Distribution	53.9×	27.0×	100%	$234k	$77.9M	−21%
Jupiter	Buyback	54.2×	16.2×	30%	$1.3M	$891.3M	−32%
Venice	Buyback + burn	68.2×	68.2×	100%	$1.1M	$946.3M	+21%
Kinetiq	Mixed	77.6×	34.2×	59%	$133k	$94.7M	−37%
Railgun	Distribution	80.3×	25.6×	65%	$202k	$108.6M	−9%
Pendle	ve / bribes	102×	36.5×	71%	$421k	$268.9M	+41%
Render Network BME	Burn	124×	88.2×	95%	$753k	$859.5M	+242%
Chainlink	Buyback	139×	119×	100%	$5.3M	$7.74B	+23%
Meteora	Distribution	161×	4.7×	17%	$480k	$166.1M	−54%
NEAR Protocol	Buyback	212×	200×	95%	$1.8M	$4.69B	−18%
Liquity	Distribution	1.2k×	8.3×	81%	$128k	$16.2M	+418%
BONK.fun	Mixed	∞	11.9×	95%	$1.5M	$240.1M	−67%
Pyththis token	Unclear	∞	68.3×	0%	$0	$518.4M	+12%

Score build-up4 of 100

Total score = 35% valuation + 25% momentum + 20% divergence + 20% quality − penalties, clamped to 0–100. Every number here can be recomputed from the figures on this page.

4of 100 one or more parts are the neutral 50

Valuation 0.0Momentum 0.0Divergence 3.8Quality 0.0= 3.8

Valuation35%

0Valuation 0.0: HR half 0.0 (multiple n/a (effective HR 0) → 0; 100 at ≤3×, 0 at ≥100×, log scale), revenue half 0.0 (revenue peer group fell back to the universe → neutral 0; 0 at ≤0.33×, 50 at 1×, 100 at ≥3×, log scale).Average of two halves. HR half: linear in log(multiple), 100 at ≤ 3×, 0 at ≥ 100×, 0 without effective HR. Revenue half: linear in log(revenue peer value), 0 at ≤ 0.33×, 50 at 1×, 100 at ≥ 3×; neutral 50 when the peer group falls back to the universe.

Momentum25%capped

0Momentum 0.0: m = 0.5·g7 −1.500 + 0.3·(ln(day jump 0.17) clamped ±1.5 = −1.500) + 0.2·g30 0.116 = −1.177; 0 at ≤−0.7, 50 at 0, 100 at ≥1.1.m = 0.5·g7 + 0.3·ln(day jump, clamped ±1.5) + 0.2·g30; 0 at m ≤ −0.7, 50 at 0, 100 at ≥ 1.1. Neutral 50 when g7 or g30 is missing; a missing day jump counts as 0.

Divergence20%capped

19Divergence 19.2: d = g30 − p30 = 0.288; 0 at ≤0, 100 at ≥1.5.d = max(0, g30 − p30) when g30 > 0; 0 at d ≤ 0, 100 at d ≥ 1.5, linear.

Quality20%

0Quality 0.0 (neutral): days HR>0 0%, largest day unknown, distance to peak 0.00; a missing part gives the neutral 0.Average of: share of days with HR > 0 (0 at ≤ 30%, 100 at ≥ 90%), 1 − largest day ÷ HR30 (0 at ≥ 60%, 100 at ≤ 15%) and distance to peak (0 at ≤ 0.25, 100 at ≥ 0.9).

HR7 is below 50% of its 90-day peak: momentum and divergence are capped at 50. This is not a penalty; the distance already counts in quality.

Penaltiesnone

No penalty applies — 10 rules checked, 3 wait for research data

Where the numbers come from

Revenue source: 4 active children; DefiLlama adapter per child
Price and market cap: defillama / defillama; latest fetch
Scored on: November 12, 2026; as-of date of the last compute run
On-chain verified: not yet; not checked yet

Protocols behind this token4 at DefiLlama

Per protocol: DefiLlama's methodology text, the distribution type we read from it and the sentence that decided it. The token takes the type of the protocol that returns the most to holders.

Pyth Core
Oracle · World Chain, BSC, Chiliz, ZKsync Era, Ink, KCC, Sei, Data Network, Sui, Avalanche, Base, Boba, Camp Network, Celo, CORE, Etherlink, Flow, Hemi, IOTA, Kava, Mezo, Mode, Near, Gnosis, ZetaChain, Aptos, Blast, Linea, Manta, Meter, Monad, Morph, Ronin, Sonic, Superseed, Taiko, WEMIX3.0, Aurora, Cronos, Hedera, Kaia, Mantle, Merlin, opBNB, Plasma, Scroll, Solana, Conflux, Eventum, Gravity by Galxe, Polygon, Soneium, Abstract, ApeChain, Arbitrum, Ethereum, Filecoin, Neon, OP Mainnet, Unichain, Berachain, Injective, Polynomial, Swellchain, Hyperliquid L1, ShimmerEVM, Cronos zkEVM, Polygon zkEVM
type unclear · source none
No methodology text at DefiLlama.
adapter on GitHub ↗
Pyth Entropy
Oracle · Data Network, ZetaChain, Blast, Unichain, Taiko, OP Mainnet, Arbitrum, Base, Soneium, Etherlink, Berachain, Hyperliquid L1, Kaia, Abstract, Sonic, ApeChain, Monad
type unclear · source none
No methodology text at DefiLlama.
adapter on GitHub ↗
Pyth Express Relay
MEV · Solana
type unclear · source none
No methodology text at DefiLlama.
adapter on GitHub ↗
Pyth Pro
Oracle · Solana
type unclear · source none
No methodology text at DefiLlama.
adapter on GitHub ↗