AI Cognitive Framework
General description of the 1LAYER AI Cognitive Framework
Last updated
General description of the 1LAYER AI Cognitive Framework
Last updated
The 1LAYER AI Cognitive Framework is a comprehensive, multi-layered system designed to aggregate, analyze, and deliver actionable intelligence on crypto projects and tokens. It leverages advanced AI algorithms to provide real-time insights, risk assessments, and user-friendly data visualization, all accessible through a single interface. The framework ensures seamless integration, dynamic updates, and cross-chain compatibility for optimal performance in the decentralized finance (DeFi) space.
The framework is structured into four core components:
Data Sources
Data Aggregation and Agent-Based Processing
Complex Analysis Generation (AI Analytics Engine)
Dynamic Updates via User Interface
The foundation of the 1LAYER AI Cognitive Framework is its diverse set of data inputs:
On-Chain Data: Transaction histories, smart contract details, and blockchain activities.
Off-Chain Data: External market data, project updates, and technical reports.
Media Sources: News articles from reputable crypto publications such as CoinTelegraph, Bloomberg Crypto, and CoinMarketCap.
Social Sentiment: Real-time social media analytics (e.g., Crypto X/Twitter) tracking influencer opinions, community discussions, and engagement metrics.
Once collected, data undergoes structured aggregation, followed by detailed analysis through agent-based modules:
Agent-Based Processing Includes:
Security Analysis: Examines smart contract vulnerabilities, detects suspicious transaction patterns, and conducts wallet clustering analysis to mitigate market manipulation risks.
Sentiment Analysis: Evaluates media coverage and social sentiment to determine the public perception of projects and tokens.
On-Chain Activities Analysis: Identifies abnormal on-chain behaviors that may indicate fraudulent activities or security risks.
Off-Chain Activities Analysis: Monitors team statements, partnership announcements, and technical developments to assess project credibility and growth potential.
The AI Analytics Engine transforms aggregated data into actionable insights, delivering comprehensive reports and risk evaluations.
Core Outputs:
Risk Score (1–10): A dynamic, cumulative score reflecting a project's security, credibility, and sentiment. The scoring model prioritizes different categories (e.g., heavier weighting on security for risk assessment, higher weighting on sentiment for speculative assets).
Detailed Report: An in-depth analysis covering all key evaluation metrics, providing users with a complete understanding of a project's current standing.
Short Summary: A concise summary highlighting essential insights, including community engagement, media sentiment, and critical security findings.
To ensure users have access to the latest insights, 1LAYER offers:
API Access: Real-time integration with external systems, allowing seamless data retrieval and analysis within user applications.
Dashboard: An intuitive interface where users can visualize risk scores, sentiment trends, and on-chain activities. The dashboard updates dynamically as new data becomes available.
