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Market Cap:$2.61T-2.18%
24h Vol:$69.3B
BTC:59.3%
ETH:10.6%
Coins:22,757
Pyth Network

Pyth Network

PYTH
Tellor Tributes
Tellor Tributes
TRB

Fundamental comparison between Pyth Network and Tellor Tributes

Not Financial Advice

This page is an informational analysis, not investment advice. The CryptoValue Score is an algorithmically generated rating from public data — it does not replace professional advice. Cryptocurrencies are highly volatile; total loss is possible. Read full risk disclaimer →

Pyth Network

Pyth Network

68.1
050100
Undervalued
24h+3.08%
7d-13.12%

Coverage: 11/13 · 84%

Calculated:

Tellor Tributes

Tellor Tributes

80.8
050100
Strong Value
24h-1.03%
7d-8.22%

Coverage: 10/13 · 74%

Calculated:

Detailed Comparison

MetricPyth NetworkTellor Tributes
Price$0.064274$15.94
Market Cap$506.16M$45.18M
24h Volume23M4.9M
Rank#104#474
Circulating Supply7.9B2.8M
ATH$1.20$593.09

Pyth Network vs Tellor Tributes — Analysis

Comparison of Pyth Network and Tellor Tributes: published market readings and a Value Score using up to 13 model components. Sourced project profiles add purpose, token role and risks where available.

Value Score Comparison

Pyth Network: 68.1/100; Tellor Tributes: 80.8/100. No direct score comparison: data coverage, calculation timestamp differ or are unrecorded.

Market Capitalization

Pyth Network has 11.2 times the market capitalization of Tellor Tributes. This ratio measures market size; it does not establish volatility or future returns.

Price Performance

Reported price change over 24 hours: Pyth Network 3.08%, Tellor Tributes -1.03%. Over 7 days: Pyth Network -13.12%, Tellor Tributes -8.22%. Missing readings are shown as —.

Distance from All-Time High

Pyth Network trades at 5.36% of its reported all-time high; Tellor Tributes at 2.69%. This distance describes price history and is not a standalone buy signal.

Conclusion

The readings show differences in market value and model assessment. Project purpose, token rights, risks, source dates and data coverage also matter. A higher score does not predict higher returns or lower risk.