Architecture Layers
Scalable by Design. Modular by Nature. Real-Time by Default.
The Sentra Protocol is built on a robust, composable architecture that ensures high performance, security, and extensibility across use cases. Whether delivering insights via Telegram, deploying a no-code agent, or triggering an automated trade — Sentra’s core stack is modular, event-driven, and optimized for real-time DeFAI intelligence.
Modular Microservices
Sentra’s backend is composed of loosely coupled microservices — each responsible for a specific domain like data ingestion, AI inference, alert handling, or API response generation.
Key Highlights:
Scalability: Each module (e.g., wallet scanner, sentiment engine, risk analyzer) can be scaled independently based on demand
Fault Isolation: Failures in one service (e.g., rate-limited X/Twitter API) won’t bring down the entire system
Extensibility: New intelligence modules — like governance monitors or sector sentiment — can be deployed as plug-and-play services
Agent Containers: Custom user agents run in isolated environments with tailored memory, data feeds, and inference contexts
This structure allows Sentra to continuously evolve — shipping faster without sacrificing stability.
Event-Driven Real-Time Pipelines
At the heart of Sentra’s responsiveness lies its event-driven architecture, built for live data streaming and reactive decisioning.
Core Features:
Data Streams: Wallet txs, CA interactions, social mentions, and sentiment triggers are streamed in real time into processing queues
Trigger-Based Computation: Instead of static batch jobs, intelligence is computed dynamically upon signal events (e.g., whale entry, rug alert)
Pub/Sub Mechanism: All system modules subscribe to relevant data channels (e.g., “@token/XYZ/sentiment/flip”) to take instant action
Alert Chaining: One module’s output (e.g., anomaly detection) can trigger downstream actions (e.g., notify user, update agent state, queue auto-trade)
This ensures Sentra feels instantaneous — surfacing edge moments before they become obvious.
Multi-Modal Frontend
Intelligence should be accessible wherever you work. Sentra supports a unified experience across:
Web dApp (Command Center)
Visual dashboards, fundamental analysis, wallet scans, and historical backtesting
Ideal for researchers, funds, and serious traders
Telegram Bot (Sentra Lite)
Slash command–based access to every core module
No login required, ultra-light, perfect for on-the-go traders and degens
Powered by the same inference layer as the dApp
Voice Agent (TARA)
Conversational voice interface to interact with the entire Sentra ecosystem
Ask “Is $XYZ a rug?” and receive full forensics, sentiment, and risk insight
Custom agents can be deployed for DAOs, funds, or KOL communities
All interfaces sync with the same intelligence core, ensuring consistent results across formats and devices.
Unified Intelligence Layer
Regardless of how users access Sentra, the core engine remains the same:
AI models
Inference pipelines
Data lake (VaultStream™)
Smart alert logic
Agent containers
This architecture makes Sentra flexible enough for retail traders and powerful enough for institutions — without ever fragmenting intelligence.
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