AI Metrics
Agent Activity Score
A composite metric tracking the frequency and complexity of
actions performed by autonomous agents on Luxor, used to
measure platform adoption and AI-native usage patterns.
Governance
Agent Governance Protocol
A decentralized governance system where autonomous agents can
participate in protocol decisions, propose improvements, and
vote on network upgrades using sophisticated decision-making
algorithms.
Core Features
AgentX (Autonomous Agents)
On-chain autonomous agents with decision-making capabilities,
built using LangChain integration. These agents can perform
wallet interactions, participate in DAO governance, and execute
smart contracts independently without human intervention.
Features include memory persistence and self-adaptation
mechanisms.
Performance
AI Model Deployment Latency
The time required to deploy new AI models to Luxor's
infrastructure, measured from upload to full availability across
all network nodes. Luxor targets sub-second deployment times
through optimized blob storage and caching mechanisms.
Core Features
AI Model Marketplace
A decentralized on-chain registry and marketplace for AI/ML
model distribution. Utilizes blob storage through EIP-4844 for
efficient model storage while maintaining verifiability and
censorship resistance. Enables discovery, upload, and deployment
of machine learning models.
Architecture
AI-Native Infrastructure
A blockchain architecture where artificial intelligence is
integrated at the foundational level across all chain
operations, including transaction ordering, execution, and
protocol governance, rather than being an add-on feature.
Smart Contracts
AI-Native Smart Contracts
Smart contracts deployed on Luxor that are specifically
designed to interact with AI agents and machine learning models,
featuring built-in AI operation primitives and agent
communication protocols.
Core Features
AI-Powered Transaction Pool (Mempool)
Luxor's enhanced transaction pool that uses machine
learning algorithms to prioritize transactions, detect spam, and
prevent MEV attacks before transactions are included in blocks.
Integrates with MEV Radar for comprehensive protection.
Economics
Average Gas Fee
Mean transaction cost paid by users, typically maintained around
0.1 gwei on Luxor through smart account abstraction and
efficient rollup transaction batching.
OP Stack
Batcher
An OP Stack component responsible for collecting transactions
from the sequencer and publishing them to Ethereum L1. In
Luxor's implementation, the batcher is enhanced with
AI-driven compression algorithms to optimize data availability
costs and blob utilization.
Architecture
Bedrock Architecture
The modular foundation of the OP Stack that Luxor builds upon,
providing the core optimistic rollup functionality. Luxor
extends Bedrock with AI-native components while maintaining
compatibility with the standard OP Stack specification.
Storage
Blob Storage Optimization
Luxor's implementation of EIP-4844 blob storage
specifically optimized for AI model distribution and parameter
storage, reducing costs for ML operations while maintaining data
availability guarantees.
Performance
Blob Utilization Rate
The percentage of available EIP-4844 blob space used by Luxor
for storing AI models, transaction data, and other large data
structures, indicating efficiency of data availability layer
usage.
Performance
Block Time
The target interval between block production on the Luxor
network, optimized at approximately 2 seconds to ensure fast
finality and responsive user experience.
Economics
Build-to-Earn Framework
An incentive mechanism that evaluates deployed smart contracts
and decentralized applications over a 7-day period, rewarding
developers with tokens and recognition badges based on metrics
including usage adoption, system stability, and innovation
impact.
Security
Cannon (Fault Proof VM)
Luxor's implementation of the Cannon fault proof virtual
machine, enhanced with AI verification capabilities to detect
and prove invalid state transitions more efficiently than
traditional fraud proof systems.
Core Features
ChainSage™ (Wallet Intelligence)
An embedded AI system that analyzes on-chain wallet behavior
patterns to generate behavioral profiles and Smart Wallet
Scores. Provides anomaly detection capabilities for identifying
fraudulent activity, bot behavior, and security threats.
AI Metrics
ChainSage Accuracy Rate
The precision percentage of ChainSage™'s behavioral
analysis and fraud detection capabilities, measured against
confirmed malicious activities and false positive rates.
AI Systems
Collaborative Intelligence Network
A distributed AI system where multiple agents and models work
together across Luxor to solve complex problems, share
knowledge, and optimize network operations collectively.
AI Metrics
Cross-Agent Collaboration Index
A metric measuring the frequency and success rate of multi-agent
coordination activities on Luxor, indicating the sophistication
of AI agent interactions within the ecosystem.
Interoperability
Cross-Chain AI Interoperability
Luxor's capability to interact with AI services and models
deployed on other blockchain networks, enabling seamless AI
agent communication across different Layer 1 and Layer 2
ecosystems.
Architecture
Data Availability (DA) Layer
The infrastructure component responsible for ensuring
transaction data is accessible and verifiable. Luxor utilizes
Ethereum as its primary data availability layer, inheriting
Ethereum's security guarantees.
OP Stack
Derivation Pipeline
The process by which Luxor nodes derive the L2 state from L1
data, enhanced with AI validation mechanisms that can detect
anomalies and potential fraud before the standard challenge
period expires.
Performance
Dispute Resolution Time
The average time required to resolve transaction disputes in
Luxor's hybrid rollup system, typically faster than
standard optimistic rollups due to AI-assisted verification and
zero-knowledge proof integration.
Economics
Dynamic Gas Pricing
An AI-driven mechanism in Luxor that adjusts gas prices based
on network congestion, user behavior patterns, and transaction
urgency, optimizing for both user experience and network
efficiency.
AI Systems
Dynamic Protocol Adaptation
Luxor's ability to automatically adjust protocol
parameters and operational modes based on AI analysis of network
conditions, user behavior, and performance metrics.
Ethereum
EIP-4844 Compatibility
Support for Ethereum Improvement Proposal 4844, which introduces
"proto-danksharding" and blob transactions, enabling
more efficient data storage and reduced costs for Layer 2
solutions.
Architecture
Engine API
The interface between Luxor's consensus layer and
execution layer, extended to support AI model execution and
agent runtime environments alongside standard EVM operations.
Core Features
EVM+ (Enhanced Virtual Machine)
Luxor's extended Ethereum Virtual Machine that includes
native support for AI operations, agent execution, and machine
learning inference while maintaining full backward compatibility
with standard EVM contracts.
Security
Fault Proof System
Luxor's dispute resolution mechanism that combines
traditional optimistic rollup fraud proofs with zero-knowledge
proof verification for enhanced security and faster dispute
resolution.
AI Systems
Federated Learning Infrastructure
A system enabling privacy-preserving machine learning across
Luxor where models can be trained on distributed data without
exposing sensitive information, useful for collaborative AI
development.
Architecture
Finality Bridge
The mechanism by which Luxor achieves transaction finality,
combining optimistic confirmation with AI-verified checkpoints
to provide faster settlement guarantees than traditional
optimistic rollups.
AI Metrics
Finality Confidence Score
A dynamic metric indicating the probability that a transaction
on Luxor has reached final settlement, calculated using AI
analysis of network conditions, transaction patterns, and
historical data.
Security
Fraud Detection Accuracy
The precision rate of Luxor's AI-powered fraud detection
systems, including MEV Radar and ChainSage™, measured against
confirmed attacks and false positive incidents.
Security
Fraud-Proof Dispute Resolution
A security mechanism in Optimistic Rollups where potentially
invalid transactions can be challenged and proven incorrect
through cryptographic proofs, ensuring network integrity without
requiring pre-validation of all transactions.
Economics
Gas Savings Percentage
Comparative measure of transaction cost reduction relative to
equivalent Layer 1 Ethereum execution, with Luxor achieving
approximately 18% cost reduction through AI optimization
techniques.
UX Features
Gasless Transaction Protocol
Luxor's implementation of account abstraction that enables
users to pay transaction fees using ERC-20 tokens or have fees
sponsored based on AI-analyzed wallet reputation and behavior
patterns.
AI Systems
Graph Neural Networks (GNN)
Advanced machine learning models used in MEV detection that
analyze transaction relationships and patterns in the mempool to
identify front-running and sandwich attacks.
Privacy
Halo2 Circuits
Zero-knowledge proof circuits used in VerifyX for
privacy-preserving identity verification, enabling users to
prove credentials without revealing underlying personal
information.
AI Systems
Hot-Swappable MLOps
Infrastructure capability allowing real-time updates to deployed
AI models without service interruption or contract redeployment,
essential for maintaining evolving AI agents and machine
learning services.
Architecture
Hybrid Rollup Execution
A dual-mode execution architecture combining Optimistic Rollup
performance with zero-knowledge proof verification for disputed
transactions, enhancing both speed and trustworthiness of final
settlements.
Performance
Intelligent Contract Execution Efficiency
A measure of how effectively Luxor's AI-enhanced EVM
executes smart contracts compared to standard EVM
implementations, including optimization and resource utilization
improvements.
Smart Contracts
Intelligent Precompiles
Custom precompiled contracts in Luxor that provide native
support for common AI operations such as neural network
inference, vector operations, and cryptographic primitives used
in machine learning.
AI Systems
Intelligent Resource Allocation
An AI-driven system that dynamically allocates computational
resources across Luxor nodes based on demand patterns, ensuring
optimal performance for both traditional transactions and AI
operations.
Ethereum
L1 Data Availability
Luxor's use of Ethereum mainnet for publishing rollup
data, leveraging EIP-4844 blob transactions for cost-efficient
storage of both transaction data and AI model parameters.
OP Stack
L2Genesis Configuration
The initial configuration parameters for Luxor's rollup
deployment, including AI system initialization, agent runtime
setup, and machine learning model registry bootstrap parameters.
AI Systems
LangChain Integration
Built-in library support for dynamic AI workflows, memory
management, and multi-step reasoning, enabling autonomous agents
to perform complex planning and decision-making over extended
time periods.
Core
Luxor
An AI-native Layer 2 blockchain platform built on the Optimism
OP Stack, designed to integrate artificial intelligence at the
foundational level of rollup architecture. Luxor combines
optimistic rollup execution with machine learning capabilities
to enable on-chain AI agents, intelligent transaction
processing, and behavior-aware protocols while maintaining full
EVM compatibility.
Interoperability
Luxor Bridge
The canonical bridge connecting Luxor to Ethereum mainnet,
enhanced with AI-powered fraud detection and automated
monitoring systems to ensure secure asset transfers between
layers.
Performance
Luxor Ecosystem Health Score
A comprehensive metric combining network uptime, AI system
performance, transaction throughput, and user adoption to
provide an overall assessment of platform health and stability.
Infrastructure
Luxor Node
A network participant in the Luxor ecosystem that processes
transactions, maintains blockchain state, and executes
AI-enhanced operations. Luxor nodes include additional AI
processing capabilities beyond standard OP Stack nodes, enabling
real-time ML inference and agent execution.
Infrastructure
Luxor Sequencer
The primary transaction ordering and batching component in
Luxor's architecture, enhanced with AI-assisted block
packing algorithms and MEV protection mechanisms. The sequencer
integrates machine learning models to optimize transaction
ordering and detect malicious activity in real-time.
Development
Luxor Testnet
The testing environment for Luxor's AI-native rollup
infrastructure, allowing developers to deploy and test AI
agents, smart contracts, and ML models before mainnet
deployment. Provides full feature parity with mainnet including
AgentX capabilities and ChainSage™ analytics.
Core Features
Luxor Virtual Machine (LVM)
Luxor's execution environment that extends the EVM with
native AI capabilities, allowing smart contracts to directly
invoke machine learning models and autonomous agents without
external oracles.
Consensus
Machine Learning Consensus
A supplementary consensus mechanism in Luxor where AI models
participate in validating transactions and detecting anomalies,
providing an additional security layer beyond traditional
cryptographic verification.
Performance
Machine Learning Inference Latency
The time required for AI models deployed on Luxor to process
inputs and return results, critical for real-time agent
operations and interactive AI applications.
Security
MEV Incident Rate
Security metric measuring the frequency of MEV-related threats
detected and prevented per block, with lower rates indicating
more effective protection mechanisms.
Core Features
MEV Radar (MEV Protection Layer)
Real-time protection system utilizing graph neural networks to
detect and prevent Maximal Extractable Value attacks such as
front-running and sandwich attacks. Includes transaction
reordering capabilities and gas refund mechanisms for affected
users.
AI Systems
Meta-Agent Architecture
A hierarchical system of AI agents where higher-level agents
coordinate and manage lower-level specialized agents, enabling
complex autonomous operations and decision-making chains.
AI Metrics
Model Accuracy Degradation Rate
A metric tracking how AI model performance changes over time on
Luxor, important for maintaining quality of AI services and
determining when models need updates or retraining.
Performance
Model Swap Latency
Performance measure of the time required to update deployed AI
models without service interruption, with Luxor supporting
near-zero latency model updates.
AI Systems
Multi-Agent Coordination Protocol
A framework within Luxor that enables multiple autonomous
agents to coordinate actions, share information, and execute
complex multi-step operations across different smart contracts
and protocols.
AI Metrics
Network AI Utilization
The percentage of Luxor's computational resources
dedicated to AI operations versus traditional blockchain
operations, indicating the platform's AI-native adoption
level.
AI Systems
Neural Network Oracles
Specialized oracle services in Luxor that provide AI-generated
insights and predictions directly to smart contracts, enabling
contracts to make decisions based on machine learning analysis
of on-chain and off-chain data.
OP Stack
OP Stack
Optimism's modular, open-source rollup framework providing
EVM compatibility, fraud-proof systems, and Ethereum data
availability integration. Serves as the foundational
infrastructure for Luxor.
Ethereum
Optimism Portal
The main contract on Ethereum L1 that handles deposits,
withdrawals, and dispute resolution for Luxor, extended with
AI-powered monitoring and automated security checks.
Architecture
Optimistic Rollup
A Layer 2 scaling solution that assumes transactions are valid
by default and uses fraud proofs to challenge invalid
transactions, enabling higher throughput while maintaining
Ethereum security.
OP Stack
Output Oracle
A component that publishes Luxor's state commitments to
Ethereum L1, enhanced with AI-verified state transitions and
automated anomaly detection to prevent invalid state proposals.
UX Features
Paymaster+ (AI-Smart Account Abstraction)
Advanced account abstraction layer supporting gasless
transactions, intelligent fee sponsorship, and ERC-20 token
payments. Uses behavioral analysis to determine gas subsidy
eligibility automatically.
Economics
Paymaster+ Subsidy Rate
The percentage of transactions that receive gas subsidies
through Luxor's intelligent account abstraction system,
indicating the effectiveness of AI-driven fee sponsorship
mechanisms.
Performance
Proof Generation Speed
The time required to generate zero-knowledge proofs for disputed
transactions in Luxor's hybrid rollup system, critical for
maintaining fast dispute resolution without compromising
security.
Consensus
Proof of Intelligence (PoI)
A novel consensus contribution mechanism in Luxor where network
participants can contribute computational resources for AI
inference and model training in exchange for network incentives
and governance tokens.
OP Stack
Proposer
The entity responsible for submitting state proposals to
Ethereum L1, operating with AI-enhanced validation to ensure
proposal accuracy and detect potential manipulation attempts.
Performance
Recursive Proof Verification Time
The duration needed to verify recursive zero-knowledge proofs in
Luxor's advanced cryptographic system, important for
maintaining network throughput while supporting complex AI
operations.
Privacy
Recursive Zero-Knowledge Proofs
Advanced cryptographic techniques used in Luxor's hybrid
rollup system to create proofs of proofs, enabling efficient
verification of complex AI computations and large-scale machine
learning operations.
OP Stack
Rollup Config
Luxor's specific configuration parameters within the OP
Stack framework, including AI system settings, agent execution
limits, and machine learning resource allocation parameters.
Security
Safe Extensions
Luxor's enhancements to the OP Stack Safe multisig system,
incorporating AI-powered transaction analysis and automated risk
assessment for multi-signature operations.
AI Systems
Self-Healing Network Protocols
Automated systems within Luxor that detect and resolve network
issues, performance bottlenecks, and security vulnerabilities
using AI analysis and predetermined recovery procedures.
UX Features
Smart Account Abstraction
A protocol upgrade that separates transaction validation from
execution, enabling features like gasless transactions, batch
operations, and programmable account recovery mechanisms.
AI Metrics
Smart Wallet Score
Dynamic trustworthiness metric computed by ChainSage™ based on
wallet activity patterns and behavior analysis, used for access
control, incentive prioritization, and risk assessment.
Scaling
State Channel Integration
Luxor's support for opening payment and state channels
that can execute AI agents and machine learning operations
off-chain while maintaining the security guarantees of the main
rollup chain.
Performance
State Synchronization Latency
The time required for Luxor nodes to synchronize with the
latest network state, including AI model updates and agent state
changes, critical for maintaining network consistency.
Interoperability
Superchain Compatibility
Luxor's integration with the broader Optimism Superchain
ecosystem, enabling seamless interoperability with other OP
Stack-based rollups while maintaining AI-native capabilities.
Performance
TPS on Ethereum DA
Transaction throughput measurement while utilizing Ethereum as
the data availability layer, with Luxor achieving 700+
transactions per second through optimized batching and blob
storage utilization.
Security
Trustless AI Model Verification
A system in Luxor that allows users to cryptographically verify
the integrity and authenticity of AI models before execution,
ensuring that deployed models match their claimed specifications
and haven't been tampered with.
Core Features
VerifyX (Zero-Knowledge Identity Layer)
Privacy-preserving identity solution using zk-SNARK cryptography
and Halo2 circuits, allowing on-chain credential verification
(age, membership, qualifications) without personal information
disclosure.
Privacy
VerifyX Privacy Preservation Score
A metric measuring the effectiveness of Luxor's
zero-knowledge identity system in protecting user privacy while
enabling necessary identity verification for various
applications.
Privacy
Zero-Knowledge Proofs (zk-proofs)
Cryptographic methods that enable one party to prove knowledge
of information to another party without revealing the actual
information, used for privacy-preserving verification and
scaling solutions.