Unified Metaverse Standards

Introduction

Background and Current Situation

With the rapid development of technologies such as Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), blockchain, cloud computing, and high-speed communication networks, the concept of the metaverse has gradually evolved from science fiction into a perceivable and interactive digital space in real life. As a virtual reflection of the real world, the metaverse integrates a variety of frontier technologies and offers novel application scenarios across digital social interaction, virtual economies, online education, remote healthcare, and immersive entertainment.

However, due to the fast-paced evolution of technologies, the complexity of industrial ecosystems, and the lack of unified standards among platforms, serious fragmentation exists across different metaverse applications. Currently, various companies, institutions, and regions are proposing their own metaverse solutions and standards, resulting in poor data interoperability, inconsistent user experiences, and redundant use of resources. The absence of unified technical standards hinders collaborative development and ecosystem integration while also introducing potential risks in data security, privacy protection, interoperability, and asset management.

Moreover, the rapid expansion of the metaverse industry has triggered a range of social and ethical concerns, such as identity authentication risks, legal ownership of virtual assets, and privacy leaks. Without timely establishment of standardized frameworks, these issues may escalate, posing significant constraints on the sustainable development of the metaverse sector.

Necessity and Purpose of Standard Development

Against this backdrop, Meta X (Metaverse Association of America) has proposed the “Metaverse Technology Standards” to address these challenges. The formulation of this standard is both urgent and essential for the following reasons:

Breaking down technical barriers: A unified technical standard can facilitate data interoperability and asset mobility across platforms, promoting collaborative development and innovation within the metaverse ecosystem. It will enable resource sharing, reduce unnecessary duplication, and improve overall ecological efficiency.
Providing clear technical guidance: Standardized systems offer clear guidance and operational norms for enterprises, reducing development costs, enhancing efficiency, and accelerating industry-wide innovation.
Enhancing security and compliance: A unified standard is critical to strengthening user data protection and digital identity management, ensuring the security and legitimacy of user assets, and reducing legal and cybersecurity risks.
Improving regulatory effectiveness: A standardized system allows regulatory authorities to better monitor technological developments and assess risk factors, thus fostering a healthy, transparent, and sustainable industrial environment.

Chapter 1: General Provisions

Purpose and Scope of Application

The primary goal of this standard is to establish a unified technical framework for the metaverse, providing globally consistent guidance for the development, integration, and governance of metaverse-related technologies, products, and services. It aims to ensure the ecological health and sustainable development of the global metaverse industry.

This standard applies to all entities involved in metaverse-related research and development, product design, platform operation, service delivery, and regulation. These entities include, but are not limited to, technology enterprises, content creators, developers, platform operators, regulators, and other stakeholders. The standard covers key areas such as digital identity and authentication, cross-platform interoperability, security and privacy protection, digital asset management, data governance, user experience and performance, as well as environmental sustainability.

Principles of Standard System Development

To ensure that the Metaverse Technology Standards are scientific, practical, and forward-looking, Meta X upholds the following principles in its development process:

Openness and Inclusiveness
The formulation of the standard adheres to principles of openness, transparency, and inclusivity. It encourages global stakeholders from different regions and industries to contribute technology, experience, and knowledge, aiming to achieve broad international consensus and adoption.
Interoperability and Compatibility
The standards emphasize cross-platform interoperability and compatibility to enable smooth flow of data, assets, identities, and user experiences across technical platforms, thereby achieving true interconnectivity.
Security and Privacy First
Security and privacy protection are central to the standard. It incorporates rigorous auditing and protective measures throughout all stages of the system to ensure a trustworthy metaverse environment.
Technological Neutrality
The standard maintains neutrality toward specific technical routes or vendor solutions. This ensures adaptability and universality, accommodating ongoing technological advancement and innovation.
Foresight and Scalability
The design of the standard considers future trends and technical evolution, ensuring high foresight and scalability so that it can be updated and expanded over time.
Ecological Sustainability
The standard accounts for the environmental impact of metaverse technologies and promotes green computing and energy-efficient practices to encourage sustainable ecosystem development.

Through these guiding principles, the Metaverse Technology Standards aim to become the most authoritative, comprehensive, and professional technical reference in the global metaverse landscape, supporting the healthy and sustainable growth of the entire industry.

Chapter 2: Digital Identity and Authentication Standards

Definition and Classification of Digital Identity

As the metaverse increasingly becomes a foundational infrastructure for digital society, digital identity has assumed unprecedented importance. It serves not only as the passport for users to access the metaverse but also as the fundamental basis for data ownership, behavioral accountability, and asset attribution. Digital identity is the cornerstone of digital trust and a critical component of the metaverse security architecture.

Unlike traditional user accounts, digital identity is a multi-dimensional, multi-layered digital construct. It encompasses real-world identity mapping, behavioral data accumulation, permission structures, and legitimacy verification mechanisms. The Meta X standard defines digital identity based on the principles of uniqueness, verifiability, autonomy, minimal disclosure, and revocability:

Uniqueness: Each digital identity must have a unique identifier across any metaverse system to prevent conflicts, forgery, or tampering.
Verifiability: The generation, authorization, and modification of identities must be verifiable using cryptographic algorithms and trusted networks.
Autonomy: Identity holders should have full control over their identity information, including display, updates, transfers, and revocation.
Minimal Disclosure: During authentication and authorization processes, systems should require only the minimum necessary identity information to reduce exposure of user privacy.
Revocability: Once authorization or credentials become invalid, there must be mechanisms for instant revocation to prevent misuse.

Categories of Digital Identity

Based on entity type and technical structure, Meta X classifies digital identity into the following categories:

Personal Digital Identity: Serves individual users for social interaction, transactions, content creation, education, and more. Core elements include decentralized identifiers (DIDs), verification logs, hashed biometrics, social fingerprints, and behavioral graphs.
Organizational Digital Identity: Represents entities such as businesses, nonprofits, and government bodies in the metaverse. Includes registration information, license numbers, public keys, legal signatures, and compliance credentials.
Device Digital Identity: Refers to identity data for hardware and physical entities that interact in virtual space (e.g., IoT devices, edge nodes, robots). Includes serial numbers, public keys, firmware versions, and hardware fingerprints.
AI/Avatar/Agent Identity: Assigned to AI-driven agents, NPCs, digital humans, or smart contracts. Since these do not have physical embodiments, proxy responsibility must be assigned (e.g., the deploying party) for legal and ethical accountability.
Federated Identity: Enables identity interoperability across platforms, supporting scenarios where one identity is recognized across multiple ecosystems to ensure seamless, multi-platform experiences.

Identity Management Technologies and Protocols

Decentralized Identifiers (DID)

DID, a global standard led by W3C, forms the foundation of self-sovereign identity. Each DID uses a URI structure and may link to a public key, service endpoint, controller information, and verification methods. DID documents are stored on-chain or off-chain and dynamically resolved via DID resolvers. Key advantages include:

No reliance on a central trust authority
Cross-chain deployment support
Compatibility with multi-signature mechanisms

Verifiable Credentials (VCs)

VCs are structured tokens representing identity, credentials, or permissions in the metaverse. They support nested credentials, timestamping, proof chains, and revocation indicators, enabling secure and compliant identity systems for uses such as:

Identity verification
Educational certificates
Professional credentials
Behavioral permissions

Multi-Factor Authentication (MFA)

To enhance identity verification strength and resistance to attacks, Meta X recommends enforcing MFA systems, including:

Knowledge factors: Passwords, PINs
Possession factors: Security tokens, encryption keys
Biometric factors: Fingerprint, facial recognition, voice pattern
Contextual factors: Geolocation, device environment, behavioral biometrics

MFA systems should support dynamic configuration based on risk levels, device types, and regional settings.

Federated Identity and Single Sign-On (SSO)

Based on OAuth 2.0, OpenID Connect, and SAML protocols, SSO allows users to log in across different platforms using identity tokens and inherited permissions. Metaverse platforms should establish open identity exchange gateways with cross-platform trust, while preserving user sovereignty.

Zero-Knowledge Proof (ZKP) and Anonymous Identity Technologies

To balance privacy and regulatory compliance, ZKP allows for the validation of identity assertions without revealing specific information. This is particularly useful in healthcare, finance, and government contexts.

Authentication Workflows and Security Strategies

Identity Lifecycle Management

Meta X defines a full identity lifecycle model including:

Creation: Initial verification via third-party sources and issuance of unique identifiers and credentials.
Activation: Triggered by device/biometric binding, smart contract deployment, or public key registration.
Usage & Authorization: Identity console allows granular authorization, with logs for service calls and revocations.
Update: Change of phone number, device migration, or role changes require validation and synchronization across nodes.
Revocation & Deletion: Triggered by breaches, compromise, or voluntary user actions; revokes on-chain access and notifies relevant services.

Security Architecture

To defend against identity forgery and unauthorized access, Meta X mandates:

End-to-end encryption using HTTPS/TLS for all identity requests
Use of distributed encrypted databases with access level controls
Automatic generation and regular reporting of security audit logs
AI-powered risk engines to detect anomalies (e.g., location jumps, repeated failures)
Compliance assessment systems evaluating identity source, processing, usage scope, and legal alignment

Chapter 3: Cross-Platform Interoperability Standards

As the metaverse ecosystem rapidly expands, the coexistence of different platforms, terminals, protocols, and applications has created a highly heterogeneous technical environment. The lack of effective interoperability across platforms and inconsistent standards between applications severely hinder the flow of digital identities, migration of virtual assets, and the unification of user experience. To address these issues, Meta X has established this chapter of Cross-Platform Interoperability Standards as part of the unified standard system, aiming to create a coordinated infrastructure for the metaverse and enable seamless integration, resource sharing, and consistent interaction across diverse systems.

1. Data Exchange Standards and Interface Specifications

Standardization of Common Data Formats

Data types in the metaverse are highly diverse, including identity data, behavioral data, spatial data, content resources, on-chain transactions, and social graphs. To eliminate format incompatibility during data exchange, Meta X recommends adopting the following standards:

JSON-LD (Linked Data): Decouples data structure from semantics and enhances semantic interoperability.
glTF/glb: Lightweight packaging format for 3D models, materials, animations, and physics properties, enabling cross-platform rendering.
X3D/VRML: Extensible 3D description languages suitable for precise applications such as education, healthcare, and architecture.
GraphQL API: Allows flexible data querying for complex objects, ideal for social networks and asset mapping.

Multi-Protocol Bridging Mechanisms

Different metaverse platforms may use REST, gRPC, WebSocket, or other protocols. Meta X proposes a unified “protocol adaptation middleware layer” that automatically translates between protocols, handles error correction, and supports asynchronous scheduling, reducing developer integration costs.

Metadata Standards and Unique Identification

Meta X UID System: Every object (user, asset, scene, session) must be assigned a globally unique identifier (UID) with a standardized format for consistent cross-platform referencing.
On-chain/Off-chain Binding: On-chain assets must include references to off-chain resources (e.g., IPFS hash or CID) to ensure resource integrity and traceability.

API and SDK Standard Packages

Platforms should provide standardized SDKs supporting major development languages and engines (JavaScript, Rust, Python, Unity, Unreal). All interfaces must comply with OAuth 2.0 authentication, and be accompanied by detailed schema documentation and sample code.

2. Virtual Environment and Real-Time Interaction Protocols

Scene Description Languages and Rendering Protocols

To standardize virtual environment structure and dynamics:

Scene Graph Markup Language (SGML): Describes virtual space structures as node graphs, supporting attributes, event responses, and state binding.
WebXR / OpenXR Integration: Unifies input/output adaptation across AR/VR devices and rendering engines.
Remote Rendering Standard (RRS): Uses cloud GPUs to offload rendering for low-end devices, ensuring consistent immersive experiences.

Standardization of User Behavior Models

Defines basic input/output models (e.g., clicks, movements, voice, gestures, expressions) using multimodal encoding (MME-F / Meta Input Layer).
Adopts a standardized “action-response” model with event triggers and feedback protocol templates for all user-environment interactions.

Multi-User Real-Time Collaboration Mechanisms

Multi-User Sync System (MSS): Combines event-driven and frame-sync models for real-time collaboration and packet loss resilience.
Session Control Protocol (SCP): Standardizes logic for user entry/exit, permission control, media sync, and chat record handling in shared environments.
Entity Locking Protocol: Ensures arbitration when multiple users interact with the same object.

Content Co-Creation Protocols

Supports collaborative design of virtual content by users from multiple platforms.
Requires platforms to provide live data merging, edit history tracking, and contribution scoring features.
All platforms must integrate with Meta X’s content authorization and synchronization interface modules.

3. Cross-Chain Asset Transfer and Management

Asset Mapping and Multi-Chain Binding

All metaverse assets (NFTs, tokens, smart contracts) must support chain-to-chain mapping and extend compatibility with ERC-721, ERC-1155, SPL, TRC, etc.
Use “bi-directional anchoring + signature verification + state locking” to ensure asset safety and legitimacy.

Cross-Chain Bridge Security Standards

All cross-chain bridges must support:

Multi-signature validation (at least 3 of 5 validator nodes)
Encrypted message relays between chains
State receipt confirmations and transaction reversal windows

Relay nodes must be certified by Meta X and configured with log reporting and proof-of-status storage mechanisms.

Off-Chain Resource Hosting Protocols

All off-chain resources referenced by on-chain assets must be redundantly stored using IPFS, CDN mirrors, and multi-cloud backup.
Modifications to off-chain resources must be logged and updated with new hash values and editor metadata on-chain.

Asset Lifecycle Management

All asset events (creation, transfer, authorization, display, freeze, recycling, destruction) must be recorded on-chain with timestamp auditing.
Each asset must define permission scopes (e.g., editable, transferable, inheritable) and conform to Meta X’s standardized Asset Metadata Schema.

Through the above interoperability framework, Meta X aims to establish a global infrastructure that connects data, assets, behaviors, and identities across the metaverse. This chapter provides the essential technical foundation for building a truly unified, secure, open, and sustainable digital environment.

Chapter 4: Security and Privacy Protection Standards

As metaverse applications become increasingly widespread and user bases continue to grow, issues related to system security and data privacy have become significantly more urgent. Sensitive data such as user identity, virtual assets, behavior patterns, social relationships, and payment records—once leaked or misused—can result in irreversible legal, financial, and ethical consequences. To ensure trust within the global metaverse ecosystem, Meta X has developed a comprehensive data security framework and privacy protection protocol, incorporating multi-layered security architecture and dynamic risk control mechanisms, with the goal of fostering a “user-centric, secure, and trustworthy” governance environment.

1. Data Security Framework and Privacy Protection Technologies

Data Lifecycle Management Principles

Meta X categorizes metaverse data into six key lifecycle phases—collection, transmission, storage, processing, sharing, and destruction—with clear security requirements and management responsibilities at each stage:

Collection: Data collection should default to minimal necessary information and must obtain explicit user consent. Mandatory data collection must be approved via platform compliance review.
Transmission: All sensitive data must be encrypted using TLS 1.3 or higher-level protocols.
Storage: Core data should be stored using distributed encrypted storage systems, with key data fragments backed up on-chain to prevent centralized failures.
Processing: Use Trusted Execution Environments (TEE) and Zero Trust Architecture (ZTA) to ensure that data remains untampered and undisclosed during processing.
Sharing: Cross-platform data sharing must be authorized by the user or comply with regulatory requirements.
Destruction: Implement on-chain verifiable data destruction mechanisms. Users may submit a “digital will” to permanently terminate identity-related data.

Core Privacy Protection Technologies

To mitigate exposure risks and ensure user privacy sovereignty, Meta X recommends the deployment of the following Privacy-Enhancing Technologies (PETs):

Differential Privacy: Injects algorithmic noise into aggregate data outputs to prevent reverse-identification of individuals. Commonly applied in behavior analytics, recommendation systems, and heat map generation.
Zero-Knowledge Proof (ZKP): Enables verification of identity or claims without revealing underlying information. Ideal for authentication, voting, and anonymous transactions.
Homomorphic Encryption: Allows computation on encrypted data, ensuring security during cloud-based data processing.
Secure Multi-Party Computation (SMPC): Splits computations into encrypted fragments processed collaboratively by separate nodes, useful for cross-platform collaboration and federated learning.
Federated Learning: Enables local data training while sharing only model parameters, protecting user data ownership.
Revocable Pseudonymity: Balances anonymity and accountability by combining on-chain real-name mapping with off-chain anonymous credentials.

Data Access Control and Auditability

RBAC/ABAC/CBAC Hybrid Models: Supports fine-grained access control based on roles, attributes, and context.
Encrypted Token and Refresh Mechanisms: Prevent token reuse and tampering; allow geographic/time-based access policies.
On-chain Access Logs: Automatically log all data access events with digital signatures to create tamper-proof audit records accessible to users and regulators.

2. Security Architecture and Risk Management Measures

Multi-Layered Security Architecture

Meta X proposes a five-layer security architecture for metaverse platforms:

Network Security Layer: Includes intrusion detection systems (IDS), firewalls, DDoS protection, honeypots, and perimeter defenses.
Identity and Access Security Layer: Built on decentralized identity (DID), on-chain authorization records, and MFA mechanisms.
Data and Storage Security Layer: Integrates data sharding, encrypted storage, and zero-trust strategies for high resilience.
Content and Behavior Security Layer: Uses AI-driven content moderation, behavioral anomaly detection, and anti-fraud simulations.
Client-Side Security Layer: Ensures client integrity checks, malicious plugin scanning, device fingerprinting, and remote lockdown capabilities.

Dynamic Threat Detection and Mitigation

Attack Profiling: Uses big data analytics to build threat intelligence profiles and a risk classification/tagging system.
Real-Time Monitoring and Smart Alerts: Deploys Security Information and Event Management (SIEM) systems for continuous threat analysis and response.
Resilience and Fault Tolerance: Supports service fallback, microservice degradation, node replacement, and geo-redundancy for enhanced stability.

Incident Response Protocol

Emergency Response Levels: Security events are classified into four levels with predefined response playbooks and cross-team collaboration procedures.
On-Chain Isolation Mechanism: When malicious identities or smart contracts are detected, the system can trigger immediate freezing of associated assets and communication rights.
Post-Incident Audit and Analysis: After event resolution, a formal audit report must be generated, including impact assessment, root cause analysis, and improvement recommendations. The report must be submitted to Meta X regulatory nodes for record.

Through this robust security and privacy standard framework, Meta X enables all actors in the metaverse ecosystem to operate under conditions that are traceable, predictable, and controllable. It establishes a solid digital firewall for global users and lays the groundwork for a truly trustworthy, secure, and user-sovereign metaverse environment.

Chapter 5: Digital Asset Management and Governance Standards

Digital assets form the core of the metaverse economic system. These include virtual land, NFTs, in-game items, digital identity markers, algorithmic models, social tokens, and programmable rights certificates. To ensure the security, legality, liquidity, and regulatory compliance of digital assets, Meta X has established a comprehensive set of digital asset standards, governing both on-chain and off-chain resources. These standards define technical specifications, lifecycle management mechanisms, and cross-ecosystem governance frameworks.

1. NFT and Digital Asset Standard Specifications

Digital Asset Classification System

Based on technological form, functional purpose, and transferability, Meta X classifies digital assets into five categories:

Rights-Based Assets: Membership tokens, service vouchers, voting rights, governance tokens—used for utility or governance.
Virtual Goods: In-game equipment, virtual clothing, spatial decorations—used for consumption or display in the virtual world.
Collectibles: Avatars, images, audio, video—non-fungible cultural assets with emphasis on uniqueness and scarcity.
Metaverse Real Estate: Virtual spaces with coordinates, area, and usage restrictions, often linked with application scenarios.
Smart Assets: Assets with embedded execution logic, such as insurance contracts, yield agreements, or interactive scripts.

NFT Protocol Standards

To ensure asset compatibility, composability, and security, Meta X endorses and expands on leading NFT standards:

ERC-721 Plus: An enhanced version supporting multi-signature ownership, off-chain identity binding, and encrypted content fields.
ERC-1155-X: A hybrid standard that allows multiple asset types (FT/NFT/Batch NFT) under one contract—ideal for gaming ecosystems and point systems.
Chain-Agnostic NFT Metadata Schema (CANMS): A unified metadata model for cross-chain NFT recognition and consistency.

Metadata and Version Control Standards

Standard Metadata Fields: Includes name, description, issuer, timestamp, content hash, copyright, and history log.
Off-Chain Hash Verification: Every off-chain resource must be linked to an on-chain SHA-256 hash to ensure tamper-proofing.
Asset Version Management: Supports version control, change history, and rollback for asset metadata.

Smart Contract Security Standards

All digital asset smart contracts must undergo formal security audits by Meta X or authorized agencies. Requirements include:

Emergency Pause and Ownership Recovery Mechanisms
Maximum Mint Cap, Whitelisting, and Burn Protection Logic
Audit trail of all permission changes and execution paths

2. Digital Asset Lifecycle Management Mechanisms

Asset Creation and Issuance

Asset creation must involve KYC verification (or anonymous endorsement), unique UID registration, and content source legitimacy check.
Platforms should provide standardized contract templates to ensure compliance from the outset.

Asset Registration and Indexing

Assets must be registered in the Meta X Asset Registration Center (MARC) and assigned a unique cross-chain ID and traceability number.
Public directories must be queryable on-chain for transparency and credibility.

Usage and Circulation

All asset transactions must pass through the Meta X Asset Verification Gateway to validate authenticity, authorization scope, and ownership.
Platforms should allow assets to carry usage permissions (e.g., “view-only,” “usable in specific scenes,” “limited-time access”).
A Distributed Asset Display Layer should support cross-platform rendering for unified visual experience.

Modification and Upgrades

Supports Upgradeable NFTs, whose properties can evolve based on usage (e.g., level up, visual transformation).
Supports Asset Merging and Splitting—needed for contract synthesis, token bundling, etc.
All changes must be logged and timestamped on-chain.

Transfer and Inheritance

Smart contracts can specify inheritance rules, allowing transfer to designated beneficiaries or trustees in the event of inactivity or identity deletion.
For cross-border transfers, platforms must enforce declaration of KYC and tax compliance documents.

Burning and Deactivation

Users can voluntarily submit burn requests, which, after ownership validation, trigger irreversible destruction and update the Meta X revocation database.
Assets proven to be malicious, fraudulent, or legally disputed may be forcibly destroyed via third-party arbitration.

Through the above governance framework, Meta X transforms digital assets from mere technical constructs into verifiable, tradable, governable, and inheritable components of a legitimate metaverse economy. These standards ensure security, transparency, and long-term viability for digital asset infrastructure worldwide.

Chapter 6: Data Governance and Compliance Standards

In the metaverse ecosystem, data is not only the fundamental resource driving platform operations, but also the core enabler of identity authentication, economic behavior, user interaction, and platform governance. Given the decentralized architecture, multi-party participation, and transnational data flows characteristic of the metaverse, building a scientific, executable, and legally compliant data governance framework is essential for standardized development. This chapter outlines the standards proposed by Meta X to strengthen internal data management and ensure external regulatory alignment—so that data in the metaverse can flow in an orderly, transparent, and traceable manner.

1. Data Classification and Governance Requirements

Data Typology and Security Levels

Based on ISO/IEC 19944 and NIST SP800 frameworks, and tailored to the metaverse context, Meta X classifies data into four types and three sensitivity levels:

Level I: Basic Interaction Data
Includes scene entry, camera movement, item pickups, clicks, and menu selections. Used mainly for UX optimization.
Level II: Social Relationship Data
Includes friend networks, chat history, comments, group participation—data with personal privacy and content implications.
Level III: Identity and Asset Data
Includes DIDs, real-name verification, KYC results, asset ownership, transaction records, and smart contract links. Core governance data.
Level IV: System Governance Data
Includes platform logs, security alerts, protocol versions, and node trust scores. Must be strictly audited and archived.

Security Levels:

Low Sensitivity: Publicly accessible, no encryption required
Medium Sensitivity: Encrypted transmission, role-based access control
High Sensitivity: Strong encryption, MFA access, on-chain audit trails

Data Governance Operational Framework

Meta X recommends all platforms establish a unified Data Governance Architecture (DGA), consisting of:

Master Data Management (MDM): Centralized management and versioning for identities, scenes, objects, and contracts.
Data Standards Repository (DSR): Defines naming conventions, data types, collection frequency, sharing APIs, and response schemas.
Data Permission and Access Mechanism (DPAM): Role- and context-based access control integrated with OAuth 2.0 or ABAC engines.
Data Quality Management (DQM): Detects anomalies, redundancies, delays, and formatting errors for real-time cleansing and rating.
User Sovereignty and Logging Mechanism: All data usage must be authorized and automatically logged, supporting user audits and external review.

Cross-Border Data Flow Compliance

For platforms involved in international data transfers, the following compliance measures must be enforced:

Regional Data Localization: Comply with GDPR, CCPA, and China’s PIPL by deploying regional storage nodes.
Cross-Border API Access Control: Third-party interfaces must pass through Meta X’s data export certification gateway and generate export credentials.
Data Governance Alliances: Meta X encourages formation of regional alliances to align standards, support regulatory sandboxes, and build trusted cross-chain data networks.

2. Smart Contract Auditing and Regulatory Compliance

Smart Contract Audit Standards

To prevent vulnerabilities leading to asset theft, permission escalation, or system crashes, Meta X mandates:

Standardized Audit Workflow: All contracts must undergo static code scans, dynamic penetration testing, logic modeling, and boundary validation.
Audit Registration System: Platforms must log reports, hash values, auditors, and fix histories on-chain for public review.
Tiered Audit Levels:
- Tier 1: Local-only smart contracts (basic review)
- Tier 2: Cross-chain or economic contracts (certified audit)
- Tier 3: Governance-critical contracts (dual formal audits required)
Formal Verification Mechanisms: For high-value or governance contracts, use TLA+, Coq, or K Framework for state-space validation.

Regulatory Interfaces and Auditability Design

Regulatory ViewPort Interface: All contracts must expose a read-only interface for regulators to monitor state, execution history, and permissions.
Change Notification Protocol: Any interface or logic change must be announced 48 hours in advance on Meta X nodes with version diff documentation.
Blacklist Recognition Mechanism: Platforms must coordinate to blacklist contract addresses linked to fraud, money laundering, or terrorist financing.

Compliance Platform Integration

On/Off-Chain Fusion Platforms: Enable regulators to read smart contract status via Meta X data bridges and verify off-chain documentation.
Annual Compliance Reports: Required submissions to Meta X include:
- Data compliance inventories
- Smart contract audit logs
- Risk control assessments
- Improvement recommendations
Compliance Liaison Officer Mechanism: Platforms must appoint designated officers for ongoing dialogue and incident response coordination.

By establishing classification standards, governance frameworks, and auditing protocols, Meta X promotes a transition from resource-driven to responsibility-driven data management in the metaverse. These systems will enhance transparency, trustworthiness, and legal accountability in global digital spaces.

Chapter 7: User Experience and Performance Standards

As the metaverse emerges as the next generation of the internet, it is evolving into a highly immersive, interactive, and socially shared digital ecosystem. User experience (UX) in the metaverse extends far beyond traditional interface design or system responsiveness. It integrates spatial awareness, real-time feedback, multimodal interaction, cultural adaptation, and digital self-expression into a unified, system-level experience. At the same time, performance standards determine whether platforms can support multi-user concurrency, large-scale rendering, and low-latency communication. Meta X hereby establishes a comprehensive UX and performance standard system to ensure future-facing design that aligns technology with human perception, behavior, and culture.

1. Immersive User Experience Specifications

Unified Interaction Behavior Model

User behavior in the metaverse surpasses traditional app or web interactions. Meta X categorizes user behavior into five main types:

Spatial Orientation: Walking, jumping, flying, teleporting, navigating via maps
Selection and Manipulation: Grabbing objects, scaling interfaces, clicking items, writing, viewpoint locking
Expression and Sociality: Facial expressions, voice chat, gesture interaction, virtual etiquette (e.g., bowing, waving)
Tasks and Collaboration: Co-modeling, co-editing, group voting, role-based simulations
Creation and Production: Scene creation, model uploading, NFT publishing, scripting and deployment

Platforms must provide an Interaction Mapping Table outlining how these behaviors are supported across input types (mouse, touch, controller, motion, voice, eye-tracking) and allow users to remap controls.

Immersive Interaction Feedback Design

Multimodal Feedback: Every core interaction must include sound cues, visual effects, and haptic feedback (e.g., controller vibrations) to reinforce presence and control.
Behavioral Path Visualization: Enable optional visual trails for navigation, object manipulation, or attention mapping—useful for personal review or UX optimization.
Natural Language Interaction: Voice systems should support multi-turn dialogue, emotion recognition, context retention, and command disambiguation.

Spatial Scene Construction and Perception

Layered Guidance Models: New users may enter spaces in guided mode, led by virtual assistants introducing environment features and content logic.
Environmental Info Layer: Every space should present data on geography, functionality, population density, and hotspot regions for better navigation.
Personal Identity Plugins: Users can project identifiers, NFTs, or status icons into the space as part of their digital presence.

Avatar and Persona Expression

Platforms must provide at least 50 non-gender-specific avatar templates, and allow customization of skin tone, body proportions, voice pitch, and accessories.
Users can bind multiple avatars and set visibility permissions per context (e.g., work vs. social).
All avatar systems should support motion tracking, facial expression capture, and voice style simulation (via TTS models).

User-Controlled Behavior and States

Users must have access to a Behavior Control Panel to pause spatial display, disable inputs, freeze scenes, or mute sensory input.
Provide a Private Mode for instant withdrawal from public spaces, protecting user attention and emotional comfort.
Offer a Behavior Log Browser with interaction history, usage patterns, and anomaly alerts.

2. Accessibility and Inclusiveness Design Requirements

Application of Universal Design Principles

Meta X adopts the 7 principles of Universal Design for the metaverse:

Equitable Use: No exclusion based on background or ability
Flexibility in Use: Multiple ways to complete tasks (e.g., voice or touch navigation)
Simple and Intuitive Use: Easy for first-time users
Perceptible Information: Text, audio, and visual cues
Tolerance for Error: Easy undo or error recovery
Low Physical Effort: Minimizes repetitive or sustained action
Size and Space for Use: Compatible with wheelchairs or mobility tools

Multilingual and Cross-Cultural Adaptation

UI elements should support Unicode and be decoupled from core logic for dynamic localization.
Content creators must complete a cultural sensitivity survey upon upload; platforms will auto-flag potential political, religious, or ethnic sensitivities.
A Cultural Preview Mode should allow users to view content from another region’s perspective with alternate cultural interpretations.

Support for Education, Elderly, and Cognitively Impaired Users

Provide Cognitive Layer Templates to adjust content density and presentation by cognitive level.
Offer Image-Driven Interfaces using icons, animations, or avatar demonstrations in place of text.
Include Command Simplifiers that compress complex task flows into one-click commands.

Gender, Identity, and Emotional Inclusiveness

Identity fields should support customizable tags, with no mandatory inputs for gender, nationality, or age.
Platforms should monitor abusive voice, stalking, or avatar harassment; users must have a one-click harassment block function.
Users may choose to display emotional states via icon bars (e.g., anxious, happy, focused, want privacy) to modulate interactions.

Sustainable Experience and Digital Wellbeing

All immersive experiences must support Green Mode to reduce GPU load and energy use.
Provide Usage Rhythm Manager that recommends breaks based on duration or physiological feedback.
Users can set Digital Boundaries for daily usage limits, interaction frequency, and exposure intensity.

3. Platform Performance Benchmarks

Minimum Client-Side Requirements

Desktop: OpenGL 4.0 or WebGPU, 4GB+ VRAM
Mobile: 8-core CPU, 6GB+ RAM, 5G or Wi-Fi 6
AR/VR Devices: ≥2K per eye resolution, ≥90fps, 6DoF dual-hand tracking

Server-Side Scalability Metrics

Support ≥500 nodes per 10,000 concurrent users
Average latency ≤150ms; cross-border sessions must use edge computing + CDN hybrid deployments
Modular design for all core components (identity, content, payments), supporting hot-swapping and plug-ins

By combining ergonomics, neurosensory science, cultural cognition, and technical performance, Meta X has developed a comprehensive experience and performance framework. It serves not only as a product design reference for developers, but also as a measurable compliance benchmark for auditors and regulators—guiding the metaverse toward a sustainable, human-centric, and accessible future.

Chapter 8: Environmental and Sustainable Development Standards

The rapid development of the metaverse brings with it a massive demand for computing power, bandwidth, and hardware infrastructure. This growth is accompanied by significant energy consumption, device turnover, and electronic waste challenges. Without a systematic green governance framework and energy-saving technological standards, the metaverse industry may face serious sustainability bottlenecks. To address this, Meta X presents a set of environmental and sustainable development standards aimed at embedding the principles of green computing, carbon neutrality, and circular economy into platform design, operational models, and terminal hardware—ensuring a unified path of technological innovation and ecological responsibility.

1. Energy Consumption Management and Green Computing Standards

Energy-Efficient Architecture Design Principles

Optimized Distributed Resource Scheduling: Platforms should use elastic computing orchestration systems that dynamically allocate resources based on user activity, space load, and AI task intensity—avoiding high idle energy consumption.
Heterogeneous Computing Deployment: Utilize multi-chip architectures (CPU + GPU + NPU + FPGA), assigning tasks to the most energy-efficient pathway (e.g., AI training → GPU/NPU, text interaction → CPU).
Cloud-Edge-Terminal Hybrid Models: Adopt a three-tier structure in which edge nodes handle local low-latency tasks, reducing cross-region data transmission energy cost.

Computing Efficiency Metrics and Models

PUE (Power Usage Effectiveness): Platform data centers should target a PUE ≤ 1.2. Liquid cooling systems are recommended for high-density AI services.
TCUE (Transaction Carbon Usage Efficiency): The average carbon emission per on-chain transaction or contract execution must not exceed 50g CO₂eq (as measured by global carbon markets).
Carbon Labeling for Services: Every module (e.g., voice recognition, graphics rendering, payment) should carry a carbon intensity rating, and platforms must offer green operation options such as low-carbon paths or eco-friendly spaces.

Renewable Energy and Carbon Neutrality Incentives

Data centers, edge nodes, and mining/validation operations must gradually shift to green energy sources (solar, wind, hydro), with ≥80% renewable energy usage by 2030.
Platforms should implement a Carbon Quota Point System, rewarding users and developers for choosing eco-friendly features—usable for incentives or personal carbon neutrality declarations.
Meta X recommends working with third-party carbon auditing agencies to publish Annual Carbon Emission Reports on the Meta X Green Index platform.

Data Resource Recycling Mechanisms

Introduce Data Liability Assessment Mechanisms to compress, cold-store, or automatically delete long-idle assets, scenes, or datasets to ease storage burdens.
Establish Cross-Platform Asset Exchange Markets for content reuse (e.g., models, environments), reducing redundant computation and generation.

2. Hardware Lifecycle Management Standards

Green Design Standards for Metaverse Devices

Modular Hardware Architecture: Encourage detachable and replaceable components (e.g., cameras, sensors, batteries, chips) to extend device lifespan and simplify maintenance.
Eco-Friendly Materials: Device shells and accessories should prioritize biodegradable plastics, recycled aluminum, and bio-based composites.
Product Environmental Certification: All devices must pass the Meta X Green Hardware Certification, which includes RoHS compliance, carbon footprint labeling, and traceable material sourcing.

Electronic Waste Collection and Management

Platforms must work with manufacturers, carriers, and logistics providers to build Device Recycling Networks that incentivize returns via carbon points or rebates.
Deploy Lifecycle Monitoring Systems: Devices must be bound to IDs at factory, with real-time usage state and end-of-life warnings for traceable recycling.
Direct all e-waste to Component Reuse Centers, where critical modules (e.g., sensors, cameras) are separated, refurbished, or remanufactured.

Client-Side Energy Efficiency Norms

Offer Green Operation Mode that reduces resolution, caps frame rates, and disables non-essential rendering features to conserve energy.
Provide regular user feedback (e.g., “Your energy use is lower than 80% of users this month”) to encourage sustainable behavior.
Promote Virtualized Hardware Services (e.g., cloud-rendered VR, avatar rendering) to reduce dependency on high-performance physical devices.

Device Circulation and Remanufacturing Markets

Support creation of Remanufactured Device Exchanges, where platforms certify quality and residual value of secondhand metaverse hardware.
All reused devices must undergo Compliance Re-Certification if used in sensitive areas like identity, payments, or education—verified via firmware upgrade and Meta X certification.

By constructing a green computing model, setting energy-saving standards, and promoting circular material use, Meta X aims to decouple computing intensity from carbon intensity in the metaverse. These standards create synergy between digital innovation and real-world ecological priorities, ushering the industry into a new era of carbon transparency, energy efficiency, and sustainability.

Chapter 9: Implementation and Promotion of Standards

The scientific, forward-looking, and sustainable nature of the Metaverse Technology Standards depends not only on systematic drafting, but also on efficient, authoritative, and verifiable implementation mechanisms. Based on international governance best practices, Meta X has constructed a comprehensive deployment and promotion framework that includes lifecycle maintenance, certification processes, testing laboratories, developer communities, and international coordination. This system ensures that the standards are widely adopted, continually improved, and transparently executed across the global metaverse industry.

1. Standard Maintenance and Updating Mechanism

Governance Structure

The Meta X standard system is overseen by the Metaverse Standards Technical Committee (MSTC), which manages nine subcommittees by domain (e.g., identity, assets, security), supported by an independent Advisory Council. Each technical subcommittee consists of:

Academic and research institution representatives
Technical leads from at least three companies in different countries
Standards testing and auditing experts
Developer community representatives
End-user rights advocates

Standard Lifecycle Management

Meta X applies a five-stage lifecycle model for standard development:

Proposal: Submitted by any institutional member, expert, or community group
Review: Undergoes three rounds of evaluation by subcommittee and advisors
Pilot: Trialed by 3–5 platforms/organizations with feedback reports
Release: Published as either Recommended Standard (R-MXS) or Mandatory Standard (C-MXS)
Revision: Reassessed every 24 months based on usage and submitted for updates

All standard documents must include:

Version numbers and changelogs
Application scenarios
Technical diagrams and parameter tables
Sample code and empirical results

Transparency and Open Access

All standards, pilot reports, and change proposals are publicly archived on the Meta X Open Platform, with version comparison tools.
Any party can submit feedback via the platform; subcommittees must respond within 30 days.
An annual Standard Adoption Report is published to disclose global usage rates, revision progress, and international uptake.

2. Standard Certification and Laboratory System

Meta X Certification Levels

To drive adoption, Meta X defines three levels of compliance certification:

MXS-Core (Core Compliance): 100% compliance in critical modules such as identity, assets, and cross-chain interfaces.
MXS-InterOp (Interoperability Compliance): Platform is interoperable with at least three other platforms in identity, asset, data, or social layers.
MXS-Eco+ (Eco-Sustainability Compliance): Platform meets energy efficiency, recycling, and data governance standards for green development.

Accredited Testing Laboratories

Meta X authorizes testing labs in North America, the EU, East Asia, and Southeast Asia. Each lab must pass an independent competency review and annual reassessment. Labs must support tests for:

Interface compliance
Performance benchmarking
Usability testing
Security audits
Accessibility assessment
Carbon modeling

All tests must use official Meta X Testing Script Libraries and Certification Toolchains, and logs/results must be recorded on-chain.

Third-Party Certification and Co-Issuance

Qualified third parties (e.g., ISO auditors, GDPR regulators, green label agencies) may jointly issue certificates with Meta X.
All certificates must be verifiable via blockchain-based public tools.
A Revocation Mechanism ensures that platforms violating principles (e.g., data falsification, security breaches) can have certifications revoked with public notice.

Developer Support System

Meta X offers an open Standards Developer Kit (MetaX-SDK) including interface docs, open-source samples, API simulators, test environments, and debugging tools.
A Developer Grant Program supports projects that implement standards on new platforms, devices, or blockchains.
The annual Standards Innovation Challenge invites global developers to build use cases based on the standards, driving collaboration and ecosystem growth.

Through a flexible yet authoritative deployment framework, Meta X ensures the verifiability, replicability, and scalability of the standards. This end-to-end governance model supports consistent implementation, cross-platform integration, and coordinated industrial growth—paving the way for a unified and transparent global metaverse.

Chapter 10: Supplementary Provisions

Interpretation and Effective Date of the Standards

The Metaverse Technology Standards are proposed, drafted, and published by the Metaverse Association of America (Meta X). These standards apply to any global organization, platform, enterprise, or developer community that voluntarily adopts this framework and participates in Meta X’s certification and collaboration systems.

Meta X has established the Unified Standards Oversight Office (USOO), which is responsible for coordinating implementation, responding to technical interpretation requests, resolving disputes, and tracking pilot execution.

Starting from the date of publication, the standards enter the global recommendation phase on January 1, 2026, and will be formally implemented worldwide on January 1, 2027.

The rights of final interpretation, revision recommendation, and promotion coordination belong to the Meta X Technical Committee and its authorized Secretariat. Any member organization that has questions about specific clauses may submit a “Technical Standards Interpretation Request Form” via official Meta X channels. The Technical Committee shall provide a formal written response within 30 business days.

Conclusion

The metaverse represents a significant milestone in the evolution of internet civilization. Its technological infrastructure, societal structure, and industrial ecosystem must be built on a foundation of unified, open, secure, and equitable technical standards. Only then can technological innovation be transformed into systematic social innovation.

This set of standards is not a closed technical document, but rather a global, forward-looking framework of shared consensus. It is a systematic response to the digital social responsibilities, technology ethics, and ecological sustainability principles of the metaverse era. It will help upgrade the foundational infrastructure of the global metaverse toward interoperable platforms, collaborative value chains, transparent governance, and user-centric design—ultimately building a shared “digital public good” for humanity in a blended virtual-real world.

Meta X: Vision and Global Action Plan

As the initiator of global metaverse governance and standardization, Meta X is committed to the following six strategic actions to ensure worldwide implementation and continuous improvement of the standards:

Establish the Global Metaverse Standards Alliance (GMSA), in collaboration with W3C, IEEE, ISO, ITU, UNESCO, national data authorities, and academic institutions to promote international alignment and recognition.
Set up Regional Standards Support Centers in North America, Europe, Asia-Pacific, the Middle East, Africa, and Latin America, each staffed with local technical experts, legal advisors, and developer service teams to facilitate localized implementation.
Launch the Global Standards Youth Ambassador Program, selecting young developers, researchers, and policy practitioners from universities, research institutes, and nonprofits to participate in standards practice and global outreach—fostering intergenerational collaboration.
Host the Global Metaverse Standardization Summit, bringing together technology companies, government representatives, investors, civil society organizations, and developer communities to co-design topics, co-create tools, and build consensus.
Build an Open Collaborative Standards Platform, where all standard documents, version comparisons, feedback processes, and global pilot reports are publicly accessible—ensuring the highest transparency and interoperability in the metaverse field.
Promote “Standards-as-Contracts” Mechanism, embedding standard clauses into platform logic and automating cross-platform interoperability, data governance, and asset management via smart contracts and blockchain infrastructure.

Through global coordination, industry participation, community engagement, and regulatory dialogue, Meta X is committed to co-creating a metaverse that is trustworthy, accessible, experiential, and sustainable—advancing human freedom and ecological coexistence in the digital era.