StreamSmart provides an all-in-one toolkit that simplifies blockchain data monitoring and transaction fee analysis. It enables users to effortlessly set up streams, track multi-chain transactions, monitor high-value whale movements, and calculate transaction fees across chains with precision.
Key benefits include:
Effortless Stream Management: Instantly create, control, and monitor data streams for real-time insights.
Comprehensive Blockchain Metrics: Access metrics like transaction volumes, gas prices, and block confirmation times across chains.
Cross-Chain Compatibility: Monitor and analyze transactions and token prices on multiple chains.
Fee Analysis & Optimization: Use Avail DA’s fee calculator for detailed fee breakdowns and charted insights, ensuring data-driven and cost-effective transactions.
Features
Stream Management (QuickNode)
Create Stream: Instantly set up a data stream with one click.
Control Stream: Pause, activate, or terminate streams as needed.
Data Fetching: Retrieve data efficiently by Stream ID.
Blockchain Insights (QuickNode Functions)
Block Metrics: Detailed insights into transaction volumes, confirmations, and block times.
Gas Price Tracking: Real-time updates on gas prices across chains.
Multi-Chain Monitoring: Seamlessly track transactions across multiple chains.
Whale Transaction Alerts: Receive alerts for high-value transactions in real time.
Token Analytics (Odos)
Token Pricing & Currency Monitoring: Track real-time token prices and currencies across chains.
Smart Routing (Odos)
QuoteV2 & V2Zap: Advanced quoting and transaction routing for optimal fee calculation and route selection.
Avail DA Fee Calculator
Fee Analysis & Charting: Leverage Avail DA’s robust fee calculator for real-time, visualized fee insights, empowering data-driven transaction decisions and optimal cost efficiency.
A significant challenge was achieving seamless integration between QuickNode’s streaming API, Odos’s routing/quoting system, and Avail DA’s fee calculation. Handling diverse data formats and ensuring synchronization required designing a unified data layer. To solve this, I implemented an adapter layer to standardize data inputs across services, making real-time updates smoother and streamlining data display on the dashboard.
Tracks Applied (7)
Odos
Odos
Odos
Avail Project
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