Solscan vs Pyth Network
Last updated: April 3, 2026
 |  | |
|---|---|---|
| Rating | (0) | (0) |
| Pricing | Freemium | Free |
| Health | Healthy | Healthy |
| Chain | solana only | multi chain |
| Open Source | ||
| Features | 8 features | 8 features |
| Upvotes | ▲ 1 | ▲ 1 |
| Twitter Followers | 57,126 | 287,812 |
| Categories | Analytics & Charts | Data & Indexing |
| Description | Free Solana block explorer — look up any transaction, wallet, token, or program with detailed analytics and holder data | High-fidelity oracle network delivering real-time price data |
Pros & Cons
Solscan
- Most comprehensive and reliable Solana block explorer
- Default transaction verification tool linked by wallets and dApps
- Labeled accounts make it easy to identify known entities on-chain
- Pro API provides structured data access for developers
- Fast loading and responsive interface even during high network activity
- Pro API requires paid subscription for higher rate limits
- Advanced analytics features are less deep than specialized platforms like Birdeye
- Mobile experience could be more optimized for smaller screens
- Historical data queries can be slow for very active accounts
Pyth Network
- Highest quality price data sourced directly from institutional market makers
- Fastest oracle updates on Solana enabling real-time DeFi applications
Solscan vs Pyth Network: Which Should You Choose?
Overview
Solscan Solscan is the most widely used blockchain explorer for Solana, providing comprehensive tools for inspecting transactions, accounts, tokens, and on-chain programs. It serves as the default reference p... Pyth Network Pyth Network is a high-fidelity oracle network that delivers real-time price data to Solana and other blockchains. Unlike traditional oracles that source data from public APIs, Pyth aggregates price f...
Community Ratings
Both Solscan and Pyth Network hold similar community ratings, suggesting users find comparable value in each. Your choice should come down to specific features, pricing, and ecosystem fit rather than overall score.
Pricing & Value
Solscan uses a freemium model — Free explorer with basic analytics. Pro plans start at $39/month for advanced features and API access., while Pyth Network is free — Free to consume price feeds. Small update fee paid per price pull on some chains. PYTH token used for governance and data staking.. Pyth Network has the edge for budget-conscious users, though Solscan's paid tier may offer features worth paying for.
Key Features
Solscan offers 8 features including Comprehensive transaction inspection with instruction-level detail, Token analytics with supply, holders, transfer history, and metadata, Account explorer showing balances, tokens, staking, and DeFi positions, and 5 more. Pyth Network counters with 8 features including Real-time price feeds from 90+ institutional data contributors, Sub-second update latency (~400ms on Solana) for real-time DeFi, 500+ price feeds covering crypto, equities, forex, and commodities, and 5 more. The right choice depends on which specific features matter for your use case — check the individual review pages for full breakdowns.
Reliability & Health
We monitor both tools around the clock for uptime, SSL validity, and response times. Solscan currently has a healthy health status with 100.0% uptime over the last 30 days. Pyth Network is rated healthy with 100.0% uptime. For tools you rely on daily — especially trading bots or wallets — uptime and speed are non-negotiable.
Strengths
Solscan's key strengths include most comprehensive and reliable solana block explorer, default transaction verification tool linked by wallets and dapps, labeled accounts make it easy to identify known entities on-chain. Pyth Network stands out for highest quality price data sourced directly from institutional market makers, fastest oracle updates on solana enabling real-time defi applications, used by the majority of major solana defi protocols. On the flip side, Solscan's weaknesses include pro api requires paid subscription for higher rate limits, while Pyth Network's main drawback is reliance on institutional data contributors creates centralization risk.