Pyth Network (PYTH): D-Score 33/100 — Centralized Leaning

BlockIndex D-Score: 33/100 (Centralized Leaning). Pyth Network (PYTH) is a Layer 2 cryptocurrency using N/A consensus. Pyth Network: First‑party, low‑latency oracle delivering institutional price feeds across chains with DAO governance and token economics.

Source: https://blockindex.ai/coin/pyth · Data by BlockIndex.AI · Updated 2026-06-19

D-Score breakdown (0-100, higher means more decentralized)
Component: Score: Overall D-Score: 33: Node distribution: 0: Initial distribution: 0: Governance: 25: Age and history: 8: Autonomy: 0: Key facts
- Layer: Layer 2
- Consensus: N/A (N/A)
- Launch: Airdrop (2021)
- Founder: Michael Cahill; Ciarán Cronin; Jayant Krishnamurthy
- VC funded: No
- Max supply: 10,000,000,000
- Circulating: 7,874,981,857 (78.7%)

Market data (as of 2026-06-19)
- Price: $0.04
- Market cap: $277.34M
- 24h volume: $14.62M
- 24h change: -5.05% · 7d change: -9.22%

About
Pyth Network is a first‑party market data oracle designed to deliver high‑fidelity, low‑latency price and market feeds to decentralized applications across many blockchains. Initially incubated within Jump Trading and later spun out with development activity concentrated at Duoro Labs, Pyth’s core mission is to source price data directly from institutional publishers — exchanges, market makers and financial firms — and publish those feeds on‑chain for permissionless consumption. The network emphasizes sub‑second updates and a publisher-first model to reduce latency and attack surface relative to synthetic or second‑party oracles, and it has steadily expanded its coverage to include hundreds of feeds spanning crypto, equities, ETFs, FX and commodities.

Technically, Pyth launched its Solana-native deployment on August 26, 2021 and later introduced Pythnet (a Proof‑of‑Authority fork) to enable additional deployment and experimentation environments. The project uses cross‑chain relays (Wormhole and other bridges/express relays) to distribute feeds to 40+ chains, and exposes SDKs and client libraries (including Rust SDKs and EVM integration examples) to support broad developer adoption. Key product components include Pyth Core, Pyth Pro, Express Relay, Lazer and Entropy (on‑chain randomness), with Entropy V2 released in mid‑2025. The architecture prioritizes low latency, publisher provenance and frequent updates rather than serving as a general purpose execution layer.

Pyth’s use cases center on latency‑sensitive DeFi and institutional integrations: price oracles for trading, lending, derivatives, on‑chain ETFs/ETNs and randomness for gaming and other applications. The project documents 380+ low‑latency feeds and 128+ institutional publishers, with integrations across 250+ applications and continued expansion into traditional finance products (ETNs/Trusts) and regulated participants. Market access is broad: PYTH is listed on major centralized exchanges and a number of DEX venues on Solana and other chains, and institutional wrappers (e.g., Grayscale/VanEck products referenced in sources) have been used to increase institutional availability.

From a tokenomics and governance perspective, PYTH is represented as a Solana SPL token with a max supply of 10,000,000,000 and a circulating supply of ~5.75B as of the supplied snapshot. Token distribution included a retrospective airdrop in November 2023 and subsequent permissionless token‑led governance via Pyth DAO. In late 2025 the DAO introduced the PYTH Reserve and a monthly buyback program (33% of the DAO treasury’s non‑PYTH balance allocated to open‑market purchases) to link protocol revenue and treasury actions to value accrual. Governance is DAO‑led with council seats (Pythian Council and Community Council) and on‑chain proposal mechanisms. The project remains open source and development‑driven by Duoro Labs alongside community governance.

Links
- Website: https://pyth.network/
- Whitepaper: N/A
- GitHub: https://github.com/pyth-network/pythnet

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About the D-Score: BlockIndex.AI rates decentralization from 0 to 100 across node distribution, initial distribution, governance, age and history, and autonomy. Methodology: https://blockindex.ai/dscore