Common Issues

Even with a robust platform, users may occasionally encounter challenges. Below are the most common issues and how to resolve them.

Installation Problems

• Ensure Node.js, Python, and Docker are installed with supported versions

• Check for missing dependencies using npm install or pip install -r requirements.txt

• Use Docker logs or verbose mode for error visibility

Configuration Errors

• Double-check .env variables are set correctly

• Verify API keys and RPC endpoints are valid and reachable

• Ensure database connections and ports are open

Performance Issues

• Large dataset loads can be reduced with query filters

• Enable caching with Redis to prevent API overload

• Adjust resource allocation for local Docker services

API Limitations

• Monitor rate limits; upgrade plans allow more requests

• Ensure pagination and batching are implemented for large fetches

• Refer to status codes for API response diagnostics

Data Inconsistencies

• Sync issues may occur during heavy chain reorgs or RPC outages

• Use fallback RPC nodes when primary source is unstable

• Clear cache or restart services to reinitialize data fetch