Introducing Giza Protocol

Semantic Infrastructure for Autonomous DeFi Agents

Market complexity has evolved beyond human cognitive capabilities, nowhere more evident than in DeFi where operators must simultaneously monitor multiple protocols, chains, and strategies. The sheer volume of data requiring constant vigilance, asset prices, reward rates, protocol health metrics, gas costs, creates a fundamental cognitive barrier that makes consistent execution practically impossible for individual participants. This information asymmetry inherently favors sophisticated actors with advanced technical infrastructure, undermining the core promise of decentralized finance: open, permissionless access to financial systems.

The solution requires a paradigm shift: autonomous agents that can execute sophisticated strategies with precision and consistency, transcending human limitations through systematic data processing, continuous operation, and agile responsiveness to market conditions. However, deploying these agents demands specialized infrastructure that combines robust security guarantees with seamless interoperability across the fragmented DeFi landscape, requirements that existing technologies fail to address.

Enter Giza Protocol: The foundational infrastructure enabling truly autonomous DeFi agents. Giza provides the critical building blocks for agents to execute in a decentralized way, interact with user intent in a non-custodial manner, and operate across diverse protocols while maintaining strong trust guarantees. By democratizing access to sophisticated market intelligence, Giza levels the playing field, allowing all participants to benefit from algorithmic precision previously available only to the most advanced players.

Emergence of Financial Agents

The emergence of financial agents in DeFi has revealed critical infrastructure gaps that severely limit their potential. Current approaches fall into two inadequate categories: centralized services that compromise on security and sovereignty, or general-purpose blockchain infrastructure not optimized for agent operations. Centralized agent platforms introduce unacceptable trust assumptions and single points of failure, while existing decentralized solutions lack the specialized capabilities needed for sophisticated financial operations. This has created an environment where agents cannot simultaneously maintain security, performance, and interoperability, forcing developers to make unacceptable trade-offs that undermine the core value proposition of autonomous agents. For agents to reach their transformative potential in decentralized markets, they require specialized infrastructure addressing three fundamental requirements:

• Non-custodial permission frameworks: Agents must operate within strict security boundaries while maintaining user sovereignty over assets, requiring sophisticated authorization systems that current wallet infrastructure cannot provide.
• Decentralized execution with cryptoeconomic security: Agent operations must run on distributed infrastructure with proper economic incentives, creating quantifiable costs for malicious behavior while ensuring 24/7 reliability and censorship resistance.
• Protocol interoperability: Agents need standardized interfaces to navigate the highly fragmented DeFi landscape, where each protocol implements unique interfaces and data structures.
• Model Context: Agentic applications are only as good as the context provided to them. Without high quality context management, models are ineffective and hallucination prone in aggregate.

Current approaches attempting to improve decentralized systems lacking the specialized capabilities needed for sophisticated financial operations fail to meet these requirements; offering either centralized execution without proper security boundaries or hallucination prone models with sub-par context architectures and key management. This creates a critical gap between the potential of autonomous agents and their practical implementation in decentralized markets.

Giza Protocol: Core Architecture

The infrastructure gap between agent potential and practical implementation requires a purpose-built solution that addresses the unique challenges of automated financial operations. Existing blockchain infrastructure provides robust transaction execution but lacks the specialized capabilities needed for secure, non-custodial agent operations while suffering from inherent scalability limitations. Meanwhile, centralized automation solutions compromise on security and sovereignty, introducing unacceptable trust assumptions even as they attempt to solve performance constraints.

Giza Protocol bridges this gap through a comprehensive architecture designed specifically for autonomous DeFi agents. The protocol establishes secure operational boundaries for agents while enabling seamless interaction with diverse financial protocols. By combining smart account infrastructure, cryptoeconomically secured execution through EigenLayer’s AVS framework, and standardized and context-rich protocol interfaces, Giza creates an environment where agents can operate with both security and flexibility. This scalable execution model delivers the scalability needed to support millions of agent operations without sacrificing the security guarantees that decentralized finance demands.

At its foundation, the protocol implements three key architectural components that work in concert to enable secure, autonomous agent operations:

1. Semantic Abstraction Layer: Transforms complex protocol interactions into standardized operations, enabling agents to reason about and execute financial strategies across diverse protocols
2. Decentralized Execution Layer: Delivers cryptoeconomically secured, distributed computation through EigenLayer’s AVS framework, where operators stake GIZA tokens to participate as protocol operators
3. Agent Authorization Layer: Provides non-custodial security through smart accounts and session keys, allowing users to delegate specific permissions to agents without surrendering asset control

Together, these components create a complete infrastructure stack that solves the fundamental requirements for autonomous DeFi agents: non-custodial operation, decentralized execution, and protocol interoperability. Let’s examine each layer in detail to understand how they collectively enable the agent-driven future of decentralized finance.

Semantic Abstraction Layer: Bridging AI and Blockchain

A New Paradigm for Financial Intelligence

The blockchain world speaks in transactions, addresses, and bytecode. AI systems think in concepts, intentions, and semantic meaning. Between these two powerful technologies lies a fundamental communication gap that has limited their combined potential, until now.

Giza Protocol’s Semantic Abstraction Layer addresses this gap by providing a bidirectional communication framework between AI systems and blockchain protocols. This layer implements the Model Context Protocol (MCP) specification to create standardized, semantically rich interfaces that enable AI agents to interact with decentralized finance protocols through natural financial concepts while preserving the security guarantees of the underlying blockchain infrastructure.

Vision

The Semantic Abstraction Layer enables AI agents to reason about and execute sophisticated financial strategies across blockchain protocols while maintaining complete security and user sovereignty. By implementing the MCP specification, this layer creates a standardized communication protocol between Web3 primitives, smart contracts, on-chain data, and AI agents operating on this infrastructure.

When implemented, this infrastructure enables:

• AI systems to interact with blockchain operations through standardized financial concepts
• Cross-protocol execution with consistent interfaces and operation patterns
• Strategy composition with verifiable safety guarantees
• Non-custodial operation through the Agent Authorization Layer

This approach represents a significant advancement in how intelligent systems interact with decentralized finance, creating what we term “Xenocognitive Finance”, where financial systems extend beyond human cognitive capabilities while preserving user agency and control.

Architecture

The Semantic Abstraction Layer implements three interconnected technical components that together create a comprehensive framework for AI-blockchain interaction:

1. MCP Server Implementation

The foundation of the Semantic Abstraction Layer is a specialized implementation of the Model Context Protocol that exposes protocol services as AI-native constructs:

• Resources: Protocol states, market conditions, and historical data exposed as MCP-compliant resources with rich semantic context
• Tools: Protocol operations presented as tools with well-defined input/output interfaces and semantic descriptions
• Execution Flow: Request processing pipeline that validates against service definitions and transforms to protocol-compatible formats.

The MCP server operates through STDIO transport as a client-side component integrated into MCP hosts, maintaining a separation between the protocol’s core functionality and client-facing interfaces. This technical design enables the development of additional adapters without requiring changes to the protocol itself.

2. Protocol Abstraction Frameworks

The middle layer implements protocol-specific adapters that standardize interaction patterns across heterogeneous DeFi protocols:

• Operation Mapping: Transforms protocol-specific interfaces into standardized operations with consistent parameter structures
• State Transformation: Converts raw protocol states into contextually rich data formats that preserve semantic meaning
• Safety Constraints: Implements protocol-aware boundary conditions that adapt to utilization rates, liquidity depths, and volatility metrics
• Execution Planning: Determines optimal execution paths based on gas costs, slippage projections, and protocol-specific factors

3. Protocol Services Registry

The Protocol Services Registry maintains the definitive source of protocol service definitions, enabling secure service discovery and execution:

• Service Definition Storage: Implements versioned storage of MCP-compliant service descriptions with semantic context for AI interpretation
• Version Management: Tracks multiple versions of each service with explicit dependency graphs and compatibility matrices

Technical Implementation and Data Flow

The Semantic Abstraction Layer implements a bidirectional pipeline that transforms data and operations between agentic systems and blockchain protocols:

Operation Execution Flow

1. Request Processing: AI systems submit requests through the MCP server, which validates them against service definitions and transforms them into protocol-compatible formats
2. Protocol Interaction: Verified operations are executed through the Decentralized Execution Layer with appropriate protocol adapters. This involves service invocation, transactions execution, task execution validation, and session key permissions verification
3. Result Transformation: Execution results are converted back into semantically rich formats for AI interpretation

This bidirectional pipeline creates a secure feedback loop where AI systems can reason about protocol states through natural financial concepts while executing precise operations within strict security boundaries.

Technical Implementation and Data Flow

The Semantic Abstraction Layer implements a bidirectional pipeline that transforms data and operations between agentic systems and blockchain protocols:

Operation Execution Flow

1. Request Processing: AI systems submit requests through the MCP server, which validates them against service definitions and transforms them into protocol-compatible formats
2. Protocol Interaction: Verified operations are executed through the Decentralized Execution Layer with appropriate protocol adapters. This involves service invocation, transactions execution, task execution validation, and session key permissions verification
3. Result Transformation: Execution results are converted back into semantically rich formats for AI interpretation

This bidirectional pipeline creates a secure feedback loop where AI systems can reason about protocol states through natural financial concepts while executing precise operations within strict security boundaries.

Decentralized Execution Layer

While agent authorization provides the security boundaries for autonomous operations, agents require robust infrastructure to execute their strategies reliably at scale. The Decentralized Execution Layer addresses this fundamental challenge by meeting three critical design requirements:

1. Decentralized Computation: Eliminating single points of failure through distributed node architecture
2. Cryptoeconomic Security: Creating quantifiable costs for malicious behavior through token staking mechanisms
3. Performance at Scale: Maintaining execution efficiency as adoption increases across protocols and chains

Without meeting these requirements, agents would face insurmountable trade-offs between security, performance, and censorship resistance. The execution layer overcomes these limitations through a purpose-built network design:

Core Architecture

The execution layer forms the operational core of Giza Protocol, creating a decentralized network of nodes that coordinates protocol service execution. This architecture leverages the Othentic stack to implement EigenLayer’s Actively Validated Services (AVS) framework, enabling secure and trust-minimized computation outside the blockchain by maintaining strong guardrails and cryptoeconomic guarantees. Through this design, Giza overcomes the inherent scalability limitations of on-chain execution while preserving the security properties essential for financial operations.

The network consists of four primary node types working in orchestrated coordination:

• Entrypoint Nodes coordinate task distribution, executing leader election for incoming operations and managing network communication through a secure p2p protocol layer that ensures tamper-resistant message propagation
• Performer Nodes invoke the appropriate registered services upon Entrypoint Node direct request, i.e. when they are selected as leader for the task at hand. The user operation resulting from the specific service invocation is then submitted on-chain. Then, a proof of task is generated and broadcasted to the Attester Nodes for validation.
• Attester Nodes validate execution, ensuring tasks meet protocol requirements through rigorous verification against predefined validation algorithms specific to each service type
• Aggregator Nodes establish consensus, processing validations from multiple attesters to determine final outcomes using BLS signature aggregation for efficient verification

This separation of concerns creates natural security boundaries that, in combination with the session keys policies, make an operator ill-intended action non-profitable and subject to slashing.. The architecture employs task routing and verification mechanisms with each node maintaining a localized view of the current state while participating in a global consensus mechanism.

The entire structure leverages EigenLayer’s Actively Validated Services (AVS) framework for its foundation, integrating with the Othentic stack that provides both production-ready customizable AVS contracts and Aggregator and Attester Nodes implementations for network bootstrapping. This integration creates a bridge between off-chain execution efficiency and on-chain security guarantees, eliminating single points of failure while maintaining the performance needed for sophisticated financial operations.

Security & Economics

The security of Giza’s execution layer is anchored in a cryptoeconomic model that creates direct financial incentives for correct operation while imposing material consequences for malicious behavior. Through EigenLayer’s restaking primitive, alongside native staking, the protocol implements quantifiable security guarantees that scale with network adoption.

Network operators must stake GIZA tokens as collateral to participate in validation, establishing the token’s fundamental utility while creating tangible costs for attacks. The system implements slashing conditions for misconduct while distributing protocol fees to reliable operators, creating an economic cycle where increased usage directly rewards those maintaining infrastructure. This approach leverages EigenLayer’s Unique Stake model for isolation guarantees, protecting the execution layer from external risks.

This economic framework, in combination with guardrails defined in session keys, ensures that rational operators consistently act in the network’s best interest, as rewards for correct operation substantially outweigh potential gains from malicious behavior. The result is a self-reinforcing security model that becomes increasingly resilient as protocol adoption grows.

Execution Flow

Agent operations flow through the network in a streamlined process designed for both security and efficiency:

1. Tasks enter through protected load balancers that prevent attack vectors
2. Leader election determines responsible execution nodes
3. Execution services invoke appropriate protocol services
4. Attesters validate results against protocol requirements
5. Aggregators establish consensus from multiple validations
6. Final results receive on-chain verification through the Attestation Center

For operations spanning multiple chains, dedicated message handlers maintain state consistency across execution environments, enabling seamless cross-chain strategies without compromising security guarantees.

Decentralized Execution Layer thus provides the essential infrastructure that powers Giza’s permissionless agent ecosystem, creating an environment where autonomous strategies can operate with both security and efficiency.

Agent Authorization Layer

At the foundation of Giza’s architecture is the agent authorization system built on smart account infrastructure which enables non-custodial agent operations through granular permission management:

• Users maintain complete control of their assets while granting agents specific operational authority through session keys
• Programmable authorization policies create verifiable security boundaries for automated operations
• Modular smart accounts provide the foundation, separating asset custody from transaction authorization

The implementation uses ERC-7579 compatible smart contract wallets that support modular extensions. This standard extends smart account capabilities by enabling specialized modules that define programmable operational boundaries and verification mechanisms.

For instance, a user might grant their agent a 30-day session key that permits swapping only between stablecoins on specific protocols, with a maximum transaction size of $10,000 per operation. This creates precise operational boundaries without surrendering custody.

This approach creates verifiable security boundaries for automated operations without compromising user sovereignty. The user never surrenders control of their assets, but can delegate specific execution permissions to their agents through a carefully designed authorization framework.

Xenocognitive Turn in Finance

Giza Protocol constitutes the foundation of “Xenocognitive Finance”; a paradigm where financial systems transcend human cognitive boundaries towards agentic markets while preserving complete user sovereignty.

Today’s DeFi landscape, and markets at large, presents optimization challenges that exceed human capabilities. Users face overwhelming demands from monitoring multiple protocols, chains, and variables across evolving markets. This complexity creates information asymmetry that disincentivizes participation. Agents level the playing field by catering to user intents, providing comprehensive market analysis and operational excellence. This in turn supports healthier markets with:

• Enhanced Capital Efficiency: Continuous cross-protocol optimization captures yield opportunities inaccessible to human operators
• Accelerated Protocol Innovation: Standardized evaluation reduces adoption barriers for new protocols
• Improved Price Discovery: Specialized strategies create more efficient pricing mechanisms
• Reduced Systemic Risk: Distribution of strategies across independent agents prevents concentration of risk

The Path Forward

Giza Protocol, already demonstrating the agentic promise through the ARMA implementation, creates the foundation for autonomous financial agents operating continuously across protocols. Through its authorization layer, decentralized execution network, and semantic abstraction capabilities, the protocol enables an entirely new category of financial applications.

As this ecosystem grows, Giza will catalyze an increasingly sophisticated landscape of agents that optimize capital allocation and unlock unprecedented value for both retail and institutional participants as well as protocol ecosystems. In this new paradigm, the complexity of decentralized systems becomes a competitive advantage rather than a barrier to adoption, enabling a financial ecosystem that is simultaneously more sophisticated and more accessible than possible with traditional approaches.