Author: Mobula Team
Last updated: August 5, 2025
3 min read
Why Look for DexScreener Alternatives?
When DexScreener's limitations started affecting trading applications and portfolio trackers, we researched the top crypto data providers to find better alternatives.
Here's our comprehensive analysis based on current pricing, features, and real-world capabilities.
Top 5 DexScreener Alternatives
Real-time price updates every 5 seconds across all tiers
WebSocket support for streaming data
Multi-chain queries in single API calls
Comprehensive wallet analytics with historical data
SQL interface for complex queries
No rate limits even on free tier
Excellent documentation with live examples
Multiple interfaces (REST, GraphQL, SQL)
Active Discord support
Generous free tier for testing
Get started:
Custom data schemas tailored to specific needs
Decentralized infrastructure reducing single points of failure
GraphQL native for flexible querying
Community-maintained subgraphs for popular protocols
Decentralized indexing for any blockchain via subgraphs
Current Pricing (2025)
Coverage
Best For: Custom applications with specific data needs, protocol-specific tools
Limitations
Higher complexity requiring GraphQL knowledge
Variable performance depending on subgraph quality
Setup overhead for custom requirements
Get started:
Ethereum, Polygon, Arbitrum, Optimism, Base with enhanced APIs
4. Alchemy API - The Infrastructure Powerhouse
Current Pricing (2025)
Coverage
Enterprise-grade infrastructure with 99.99% uptime
Advanced features including trace APIs and webhooks
Real-time WebSocket subscriptions
Superior performance with optimized nodes
Comprehensive developer tools
Limited to 4 major chains
Focus on infrastructure rather than aggregated market data
Compute unit complexity can make pricing unpredictable
Get started:
Phase 1: Evaluation (Week 1-2)
Sign up for free tiers of your top 2-3 alternatives
Test basic API calls for your core use cases
Evaluate documentation and developer experience
Calculate projected costs based on your usage patterns
Phase 2: Parallel Testing (Week 3-4)
Implement parallel API calls to compare data quality
Test response times and reliability
Evaluate any data discrepancies
Assess integration complexity
Phase 3: Gradual Migration (Week 5-8)
Start with non-critical features
Implement fallback mechanisms
Monitor error rates and performance
Gradually increase traffic percentage
API Reliability: Choose providers with proven uptime records and transparent status pages.
Pricing Transparency: Understand exactly what you're paying for - some providers use complex compute unit systems while others offer straightforward credit-based pricing.
Real-time Requirements: If your application needs true real-time data, prioritize providers with WebSocket support and sub-10-second update frequencies.
Compliance Needs: For enterprise applications, consider providers with SOC 2 certification and regulatory compliance features.