CatScope vs DEXScreener

Overview

CatScope CatScope is Solana infrastructure that runs searcher logic directly at the validator layer, giving bots sub-2ms first visibility into transactions — far ahead of what's possible when polling from outs... DEXScreener DEXScreener is a real-time decentralized exchange analytics platform that tracks trading activity across multiple blockchains, with particularly strong coverage of Solana. It has become one of the mos...

Community Ratings

DEXScreener is rated higher by the MadeOnSol community with 5.0/5 stars across 4 reviews, compared to 0.0/5 for CatScope (0 reviews). That said, ratings only tell part of the story — what matters most is which tool fits your specific workflow.

Pricing & Value

CatScope uses a free model, while DEXScreener is free — Free to use with no account required. Paid services for projects: token profile updates/boosts cost $299-$999+.. Both tools are free, so cost isn't a deciding factor — focus on features and reliability instead.

Key Features

CatScope offers 5 features including Validator-side WASM bot runtime, Decoded account and state stream, Priority transaction lane, and 2 more. DEXScreener counters with 8 features including Real-time price charts with sub-second data updates across all chains, Multi-chain coverage including Solana, Ethereum, Base, BSC, and 20+ networks, Token discovery with trending, new pairs, top gainers, and boosted listings, 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. CatScope currently has a healthy health status with 100.0% uptime over the last 30 days. DEXScreener is rated healthy with 100.0% uptime. For any tool you trust with your funds, trades, or yield, uptime and speed are non-negotiable.

Strengths

CatScope's key strengths include extremely low latency from validator-side execution, decoded state removes parsing overhead for searchers, novel validator-integrated mev model.