xAS - xFractal's Agentic System

In the highly dynamic and time-sensitive Web3 industry, traders and investors must navigate multiple tools and protocols to execute essential activities such as transferring tokens, interacting with dApps and smart contracts, and tracking market intelligence, including real-time prices, KOL insights, and whale movements. While many of these tasks can be automated through rule-based systems, traditional automation lacks adaptability, intelligence, and real-time decision-making.

The xFractal Agentic System (XAS) is a modular, multi-agent architecture designed to support high-frequency decision-making, structured intelligence retrieval, and real-time execution. It enables complex workflows to be decomposed into specialized analytical and operational tasks performed by autonomous, interoperable agents.

XAS was created to overcome the cognitive and operational limits of traditional DeFi and trading tooling. By embedding intelligence into the system through discrete agents (each focused on a specific domain), the platform can perform token due diligence, market research, sentiment analysis, on-chain monitoring, contract risk evaluation, and trade execution in parallel and at scale to enhance the user's alpha extraction capabilities. Agents communicate through a shared memory layer and a semantic routing protocol (A2A), enabling adaptive, collaborative behavior without human micromanagement.

Each agent has access to token-level scoring outputs, context memory, prompt instructions, and real-time data streams. When a user inputs a query via the natural language interface, Aya (xFractal’s orchestrator) delegates subtasks to relevant agents, compiles their outputs, and returns a structured response. The architecture is explainable, extensible, and designed to maintain high operational throughput with minimal latency.

Agents persist memory, retain stateful interaction history, and evolve based on feedback loops. Each agent can be queried individually or operate as part of a collaborative agent chain.

Below is a summary of the current and in-progress agents within the xFractal agentic system:

Agent	Domain	Description
Aya	Orchestration	Aya is the cognitive core of xFractal. She performs prompt interpretation, agent routing, score parsing, and high-level reasoning. Aya manages dialogue flow, memory retention, and task decomposition across the agent swarm.
Echo	Social Sentiment & Narrative Analysis	Echo parses Twitter, Telegram, DEX metadata, and influencer networks to quantify narrative activity, sentiment velocity, and social signal reliability. It forms the agentic representation of the Hype Score.
Mobu	On-Chain Analytics	Mobu ingests and interprets onchain data: transactions, wallet flows, liquidity events, and token lifecycle metadata. It builds real-time on-chain intelligence using a combination of SQL, GraphQL, and API integrations.
Sentra	Security and Contract Risk	Sentra evaluates token metadata, behavior history, bundling patterns, rug probability, and dev wallet activity. It computes token-level safety scores and flags anomalies.
Vega	Trade Execution	Vega is the executional layer. It translates user intent into on-chain actions such as swaps (DCA, limit orders coming soon).
Solvion	Solana Ecosystem Knowledge	Solvion aggregates Solana-native documentation, metrics, and technical resources. It ensures agents reason within Solana-specific contexts.
Oura (In Development)	Technical Analysis	Oura conducts TA via chart pattern recognition, indicator analysis (RSI, MACD, etc.), and signal alignment with sentiment and on-chain activity.
Nova (In Development)	Portfolio Strategy	Nova analyzes asset allocation, timing, and unrealized vs. realized performance. It supports rebalancing and strategy refinement.
Bravo (In Development)	Ecosystem & Macro Signals	Bravo monitors external market news, ecosystem announcements, and macro sentiment indicators relevant to Solana tokens.
Lynx (In Development)	Personalization & KYT	Lynx models user behavior, preferences, and trade history to personalize agent responses and strategy recommendations.