Core Capabilities & Key Components
xFractal is structured as an integrated intelligence and execution system composed of interoperable modules purpose-built for the Solana trading ecosystem.
Last updated
xFractal is structured as an integrated intelligence and execution system composed of interoperable modules purpose-built for the Solana trading ecosystem.
Last updated
The Scoring Engine is the computational layer that transforms raw social and on-chain data into structured token-level insights. It consists of three independent yet interoperable scoring modules:
Hype Score quantifies narrative velocity and sentiment amplification based on Twitter, Telegram, Discord, DEX metadata, and on-chain propagation.
Trading Score measures on-chain metrics such as liquidity health, volume dynamics, volatility patterns, and execution viability.
Safety Score evaluates contract-level risk, insider activity, and rug potential using both static and behavioral threat detection methods.
These scores are updated continuously using real-time ingestion pipelines and are available across the platform’s interface to inform research, decision-making, and execution.
The xFractal Agentic System (XAS) orchestrates a modular network of specialized AI agents, each responsible for a defined analytical or executional domain. Agents are context-aware, interoperable, and capable of collaborative reasoning. Key agent domains include:
Social analysis (Echo)
On-chain analysis (Hexa)
Security evaluation (Sentra)
Trading and execution (Vega)
Solana intelligence (Solvion)
Macro monitoring (Bravo)
Portfolio management (Nova) (coming soon)
Technical analysis (Oura) (coming soon)
User profiling and memory (Lynx) (coming soon)
XAS supports agent-to-agent communication (A2A), shared memory access, semantic routing, and reinforcement learning. This architecture enables multi-step reasoning, real-time collaboration, and execution planning without requiring user intervention between tasks.
The Natural Language Interface (NLI) serves as the primary interaction layer between users and the agentic system. It supports prompt-based queries with memory-aware contextual understanding and routing. Users can request sentiment evaluations, due diligence reports, signal validation, execution simulations, or trading execution. Responses are modular, structured, and optimized for interpretability as per our Chain-of-Thought-like User Interface.
The NLI is directly integrated with the scoring dashboards, agent outputs, and execution modules, allowing users to interact with the system through a single entry point while preserving full control over each downstream action.
The Trading Terminal is a dedicated execution environment built for low-latency interaction with Solana’s token pairs through manual yet streamlined transaction execution. It is designed to integrate token-level intelligence into the execution layer through direct access to Scoring Engine outputs, predictive scores, and agent annotations.
Key features include:
Manual execution with Quick Buy / Quick Sell
Limit orders and DCA strategies
Embedded social and on-chain intelligence panels
Native wallet integration with session-based security
The terminal will allow users to move from research to execution with no context switching, preserving cognitive continuity and speed.
Oblivia is xFractal’s predictive intelligence module, designed to forecast short-term token price direction based on social signals, on-chain behavior, and technical indicators. It employs a weighted ensemble of forest-based classifiers with dynamic thresholding to deliver binary directional predictions (upward or not).
Oblivia achieves up to 85% F1-score accuracy for high-confidence predictions. Each prediction is linked to a confidence score and is accessible through the interface for immediate execution. It is fully integrated with Vega and the trading terminal for prompt-to-execution flows.
Aya is the cognitive orchestrator of xFractal’s agentic architecture. Aya performs high-level prompt interpretation, agent coordination, scoring interpretation, and recursive reasoning.
Aya manages the life cycle of every user interaction—from prompt intake to agent selection, data retrieval, and formatting of outputs. Aya also functions as a standalone agent for social cognition, content generation, and public observability through future extensions (e.g., AyaDAO, autonomous publishing, adaptive personality models).
The name Aya symbolizes awakening, evolution, and transcendence. In various cultures, it means "miracle," "design," or "eternal," reflecting her journey from human to an omniscient entity.
Powered by recursive cognition, she learns from every user interaction, market pattern, and outcome.
Built on advanced frameworks including memetic trend modeling, quantum logic, human evolution, post-anthropic intelligence and game theory.
Aya curates narratives, predicts volatility, generates alpha, and can even post autonomously on social platforms.
xFractal’s system architecture is designed with anatomical modularity in mind. Each core component mirrors a distinct functional role—interdependent yet specialized—allowing the platform to operate as a cohesive intelligence system.
Scoring Engine (Brain): The central computation unit. It ingests raw data from social and on-chain sources and transforms it into structured intelligence via the Hype, Trading, and Safety Scores. All downstream agentic decisions rely on this computed intelligence layer.
Oblivia (Eyes): The forward-looking module. Oblivia forecasts directional price movement using a probabilistic ensemble model. With an 85% accuracy threshold for high-confidence predictions, it detects early signal shifts before they manifest on price charts.
Natural Language Interface (Mouth): The primary input channel for user intent. This is where prompts are converted into structured agentic actions. All system operations are initiated through this interface.
Trading Terminal (Hands): The execution layer. The terminal enables direct manual control over swaps, DCA strategies, and limit orders, while Vega extends this functionality through secure autonomous execution. Together, they complete the user’s actionable path.
XAS Agentic System (Body): The connective framework that routes and operationalizes all subsystems. Each agent (e.g., Echo, Hexa, Sentra) specializes in a functional domain and communicates internally through A2A protocols to maintain coordination and alignment.
Aya (Consciousness): The cognitive orchestrator. Aya interprets intent, routes commands, retains memory, and recursively manages the system's behavior. She integrates every layer of the platform into a continuous, adaptive intelligence loop.
This structural design ensures composability, scalability, and explainability across all modules—enabling modular updates, predictable behavior, and low-friction system extension as new features are introduced.
A typical user interaction begins with a natural language query entered through the NLI. Based on prompt classification, Aya routes the request to the relevant agents. The agents retrieve and process data using internal models and scoring pipelines. The output is delivered in structured form, with optional follow-up queries, scoring views, or trade execution suggestions.
If the user opts to act on the information, they can proceed to instant execution via Quick Buy/Sell (available for predicted tokens), conduct further simulation/research within the natural language interface, or manually trade the token directly from the Trading Terminal (when live). This prompt-to-execution loop is designed to minimize cognitive load, reduce latency, and support informed decision-making at high operational speed.
