System Architecture

1. Input Layer

• Users / AI Agents send transactions either via HTTP API or RPC.

• Each transaction is submitted together with its declared intent (reason).

2. Gateway & Core

• TxSentinel Gateways receive transactions and forward them to the Core.

• The Core acts as the central hub, routing each transaction to different analysis modules.

3. Sentinel Cluster

• A decentralized network of specialized Sentinels focused on different domains:

  • DeFi risks

  • Smart contract vulnerabilities

  • Hack detection

  • Scam / phishing checks

• The cluster analyzes the incoming transaction and sends back warnings when suspicious behavior is detected.

4. AI Agent & Simulation Layer

• The AI Agent (LLM-powered) takes the transaction, the declared intent, the simulation output, and any warnings.

• It performs a semantic evaluation:

  • Does the transaction outcome match the intent (reason)?

  • Do warnings indicate hidden risks?

  • Does the simulation confirm safe execution?

5. Decision Layer

• Based on the evaluation, the system decides whether the transaction should be sent or blocked (send / not send).

• All warnings, reasons, and simulations are logged for transparency and further analysis.