Whitepaper
  • 1.0 Introduction
    • 1.1 Migration from XEND to RWA
    • 1.2 New Vision - Xend V2 and Xend V3
      • 1.2.1 Principles overview
      • 1.2.2 Xend V2 & V3 - Roadmaps
      • 1.2.3 Xend V2 Roadmap
      • 1.2.4 Xend V3 Roadmap
  • 2.0 OAE - Onchain Assets Environment
    • 2.1 OAE Core Idea
    • 2.2 OAE Framework
    • 2.3 OAE - Products Overview
      • 2.3.1 Asset Chain
      • 2.3.2 Origin Studio
      • 2.3.3 Social Hub
      • 2.3.4 Xend Connect
      • 2.3.5 GOR
      • 2.3.6 Xend Solutions
    • 2.4 Asset Smart Contract
    • 2.5 IAC Framework
      • 2.5.1 Importance Of IAC to OAE
      • 2.5.2 (b) IAC in Practice
    • 2.6 Asset Credibility
      • 2.6.1 Authentication Rating
      • 2.6.2 Compliance Rating
      • 2.6.3 Asset Insurance Rating
      • 2.6.4 Events Mirroring
      • 2.6.5 Visual Summary
    • 2.7 IAC Partners
      • 2.7.1 IAC Provider
      • 2.7.2 Conflict Resolution Process
      • 2.7.3 I - AC Interdependence
    • 2.8 Assets Policy in OAE
      • 2.8.1 Web3 Token Issues
      • 2.8.2 AssetChain 10 Cardinal Rules
      • 2.8.3 Assets As Smart Contracts, Tokens As Rights
      • 2.8.4 Verifiable Legal Binding
      • 2.8.5 Intrinsic Legalization
      • 2.8.6 Multi-Level Asset & Token Structures
      • 2.8.7 Token Bonding
      • 2.8.8 Separating Ownership, Possession And Holding
      • 2.8.9 Structured Asset Administration Policy
    • 2.9 AssetChain - 4 Execution Levels
    • 2.10 P2P Lending In OAE
      • 2.10.1 Basics of P2P lending
      • 2.10.2 Appraisers And Custodians
      • 2.10.3 Xend Fundraising Platform On OAE
    • 2.11 AI Stack
      • 2.11.1 Watchdogs
      • 2.11.2 Assistants
      • 2.11.3 Improvers
      • 2.11.4 Concepts
  • 3.0 Xend Browser
    • 3.1 One-4-All
    • 3.2 NodeOs
    • 3.3 Subnet
    • 3.4 Explorer
    • 3.5 Node Enterprise
    • 3.6 e-Admin
    • 3.7 NodeBox
  • 4.0 Progressive Synchronization (V3)
    • 4.1 Objectives Of The IAC Councils
    • 4.2 Progressive Adoption Of Public AssetChains
    • 4.3 Progressive Adoption Of Public Subnets
    • 4.4 OAE Marketplace
  • Practical Use Cases
    • Business & Banking
    • Real Estates
    • Compliance - by - Design
    • Tokenization Beyond Ownership
    • Global Assets Accessibility
    • Green Impact
    • Software, Gaming and Entertainment
    • Global Transparency and E-Administration
  • RWA (OAE) Token Economy 1.0
    • RWA Token
    • RWA Economy Ecosystem Participants
    • RWA Staking
    • RWA Incentives
    • RWA LP Tokens, Market Makers, & Trading Competitions
    • Gamification Of OAE User Experience
    • RWA Token Utilities
    • OAE & RWA Macro-Economy
    • Future Legal Status Of RWA Tokens
  • Litepaper
    • Solving ASR Issue
    • OAE From User Standpoint
    • Xend Solutions
    • Future Roadmap
  • Appendices
    • Appendix A: Understanding RWA
      • Assets Classification
      • Narrow Understanding Of RWA
      • Wide Understanding Of RWA
      • UWA - Unreal World Asset
      • RWA versus UWA - They Key Difference Lies In Legal Context
      • Examples Of RWAs Definitions Incoherence
      • Key Takeaways
    • Appendix B: Digitization vs Tokenization
      • Existence vs Ownership
      • Hierarchy Of Terms
      • Digitation Of Asset
      • Documenting The Asset
      • Tokenization Of The Asset On Gen2 Blockchain
      • Legal Causality Of Gen2 Tokenized Asset
      • Key Takeaways
    • Appendix C: Rise Of AssetChains
      • Theses A
      • Theses B
      • Theses C
      • Theses D
      • Theses E
      • Theses F
    • Appendix D: Brief Analysis On Who Owns The Internet
    • Appendix E: Market Research
      • RWA Solutions - Scope Of Work Overview
        • Centralized
        • Decentralized
        • In-depth Scope Comparison
      • Statistics
        • CEFI - Territorial Coverage
        • CEFI - Funding Ranges Popularity
        • CEFI - Funding Values Breakdown
        • Visual Data Metrics
      • Research Summary
  • FAQs
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  1. 2.0 OAE - Onchain Assets Environment
  2. 2.11 AI Stack

2.11.2 Assistants

Asset Scout

Asset Scout identifies and recommends marketplace opportunities by analyzing real-time data and user preferences. It helps uncover valuable opportunities such as bankruptcy auctions, distressed assets, or undervalued tokenized rights.

Key Features:

  • Opportunity Detection: Gathers and assesses data about emerging marketplace opportunities, including auctions, distressed sales, and undervalued assets.

  • Behaviour Analysis: Examines user preferences and historical activity to deliver relevant, personalized recommendations.

  • AI Chatbot Integration: Allows users to explore and receive tailored suggestions interactively.

Asset onboarding

Leverages AI to automate the classification and onboarding of assets:

Key Features:

  • Automated Classification: Utilizes AI algorithms to automatically categorize assets based on predefined criteria, reducing manual effort and errors.

  • One-Click Onboarding: Provides pre-structured templates and settings for quick approval or adjustment, enabling swift asset integration.

  • Complex Workflow Management: Capable of handling intricate onboarding processes, including compliance checks and multi-step approvals.

  • Batch Onboarding: Supports the simultaneous onboarding of multiple assets, enhancing operational efficiency

RWA market AI insights

A centralized hub offering AI-driven analytics and insights into Real-World Asset (RWA) markets. The subpage aggregates and processes real-time data to deliver actionable information, helping users make informed decisions.

Key Features:

Risk predictor

An advanced AI algorithm capable of predicting potential future events related to assets before they occur. It leverages broad data analysis combined with localized events and trends to anticipate risks and disruptions.

Predicts potential risks tied to assets, such as:

  • Fraud or market manipulation

  • Legal disputes or legislative instability

  • Natural disasters (e.g., floods, fires)

  • Economic shifts affecting asset value

Example: A user monitors a commercial real estate asset. The Risk Predictor identifies localized economic slowdowns and rising vacancy rates in nearby properties. It forecasts a potential decrease in asset value within the next 6 months, enabling the user to take preemptive action.

Accessible via GOR for ad-hoc queries. Does not impact credibility scoring.

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Last updated 4 months ago

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