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.

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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.

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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.

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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.

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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.