Pyth Network
PYTHMarket data from Tokenelligence pipeline · updated 46d ago (2026-08-11T00:53:03.821Z)
Score 77/100weighted from six factor scores
Quality of team, product-market fit, revenue mechanics, and defensibility of the core thesis.
Active users, integrations, TVL/volume share, and depth of distribution within and beyond Solana.
Supply schedule, unlock cliffs, sink/source balance, value accrual mechanics, and insider allocation.
Trajectory of usage, revenue, and shipped product velocity; momentum vs. base rates.
Composability, integrations with core Solana primitives, and importance within the broader stack.
Inverted risk: higher = lower exposure to smart-contract, regulatory, liquidity, governance, and concentration risk.
Trust Score screen pending
Trust screen pending — awaiting analyst review
First-party price oracle — a pure data-infrastructure utility. Publishers and methodology are disclosed. Token utility still maturing but no values-based exclusions apply.
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