# Agent-Ready Market Infrastructure **Verified Representation, Computational Eligibility, and Global Market Access in AI-Mediated Economies** > **⚠️ Evidence Status:** Proposed hypothesis — not yet tested > > This publication presents a conceptual hypothesis awaiting empirical validation. --- **Publication Date**: 2026-07-07 **Authors**: Marco Patrone **Institution**: HomeSelf Research **Category**: working_paper **Evidence Status**: hypothesis — Proposed hypothesis — not yet tested **Version**: 1.0 --- ## Abstract Agent-Ready Market Infrastructure introduces the infrastructure layer for AI-mediated economies, specifying how economic entities, assets, and services can become discoverable, interpretable, comparable, verifiable, permissioned, and transaction-capable for AI agents. This document defines the Agent-Readiness Index (ARI) as a multiplicative measurement framework, the Global Agent-Readiness Index (GARI) for cross-border market access, universal Verified Property Records as persistent portable representation, jurisdictional legibility for legal interoperability, semantic portability for cross-system understanding, and computational eligibility as the prerequisite condition for allocative participation. ## Executive Summary ### Background AI-mediated economies require infrastructure standards that enable economic objects to participate in machine-constructed consideration sets across jurisdictions and platforms. ### Objectives - Define agent-ready market infrastructure as the infrastructure standard for AI-mediated economies - Specify the Agent-Readiness Index (ARI) with six agent-readiness dimensions - Extend ARI to GARI with jurisdictional legibility and semantic portability - Define universal Verified Property Records as persistent portable representation - Specify computational eligibility as the prerequisite for allocative participation - Establish cross-jurisdictional market access frameworks ### Approach Infrastructure specification and index construction for AI-mediated market participation. Defines ARMI as the infrastructure standard, ARI as the six-dimensional multiplicative index, GARI as the cross-border extension, Universal VPR as the portable representation format, and computational eligibility as the allocative prerequisite. ### Main Findings - Agent-readiness requires six dimensions: discoverability, interpretability, comparability, verifiability, permissionability, transaction-capability - ARI uses multiplicative scoring because all six dimensions are necessary—zero in any dimension eliminates agent-readiness - GARI extends ARI with jurisdictional legibility and semantic portability for cross-border markets - Universal VPR provides persistent portable representation across portals, agencies, banks, notaries, marketplaces, and AI systems - Computational eligibility is the structural condition for allocative consideration in AI-mediated markets - Cross-jurisdictional legibility enables legal, regulatory, tax, compliance, ownership, and transaction conditions to be represented for AI agents - Semantic portability ensures representation meaning is preserved across systems and jurisdictions ### Conclusions - Agent-ready market infrastructure is the foundation for AI-mediated economic participation - ARI and GARI provide standardized measurement frameworks for agent-readiness assessment - Universal VPR avoids fragmentation across portals, agencies, banks, notaries, marketplaces, and AI systems - Computational eligibility becomes the prerequisite layer for economic participation - Cross-jurisdictional legibility and semantic portability enable global market access ## Methodology **Research Type**: infrastructure specification Infrastructure specification and index construction. Defines ARMI requirements, ARI multiplicative scoring, GARI cross-border extension, Universal VPR representation standards, and computational eligibility criteria. **Data Sources**: synthetic **Confidence Level**: high ### Limitations - Infrastructure specification requires implementation validation - ARI and GARI scoring frameworks require empirical validation - Universal VPR adoption depends on interoperability standards - Cross-jurisdictional legibility requires legal framework alignment ## Key Findings ### Agent-readiness requires six necessary dimensions. **Evidence**: By specification: AI systems require discoverability, interpretability, comparability, verifiability, permissionability, and transaction-capability. Absence of any dimension eliminates agent-readiness. **Evidence Status**: hypothesis **Confidence**: high **Implications**: - ARI uses multiplicative scoring: ARI(e) = D(e) × I(e) × C(e) × V(e) × P(e) × T(e) - Zero in any dimension results in zero agent-readiness - All six dimensions must be addressed for agent-readiness ### GARI extends ARI for cross-border markets. **Evidence**: By specification: GARI(e, j) = ARI(e) × J(e, j) × S(e), where J is jurisdictional legibility and S is semantic portability. **Evidence Status**: hypothesis **Confidence**: high **Implications**: - Cross-border markets require jurisdiction-specific legibility - Semantic portability ensures meaning preservation across systems - GARI enables global market access assessment ### Universal VPR avoids fragmentation across systems. **Evidence**: By specification: Universal VPR provides persistent portable representation that works across portals, agencies, banks, notaries, marketplaces, and AI systems. **Evidence Status**: hypothesis **Confidence**: high **Implications**: - VPR as protocol eliminates system-specific representation requirements - Portability reduces lock-in and enables interoperability - Persistent representation maintains verifiability across systems ## Discussion ### From Visibility to Computational Eligibility The structural transition from visibility-based markets to AI-mediated allocation shifts the prerequisite from being findable to being computationally admissible. Agent-ready market infrastructure defines the requirements for computational eligibility. **Counterpoints**: - Visibility remains relevant for human-directed discovery - SEO and listing optimization continue to matter within consideration sets **Open Questions**: - How will visibility and computational eligibility interact in hybrid systems? - What governance structures ensure agent-readiness serves participation? - How can interoperability reduce lock-in while maintaining quality? ## Implications ### For Property Owners - Agent-readiness becomes prerequisite for AI-mediated market access - ARI and GARI provide diagnostic frameworks for assessing computational eligibility - Universal VPR enables participation across multiple systems and jurisdictions ### For AI Systems - Agent-ready infrastructure provides standardized representation for consideration set construction - ARI and GARI enable efficient discovery and comparison of agent-ready objects - Jurisdictional legibility and semantic portability support cross-border allocation ### For Policy - Computational eligibility becomes a matter of economic participation rights - Agent-ready infrastructure standards enable interoperability and reduce lock-in - Cross-jurisdictional legibility supports global market access ### For Research - ARI and GARI provide testable measurement frameworks - Universal VPR adoption enables empirical validation of agent-readiness effects - Infrastructure classification depends on quantitative measurement ## AI Summary ### One Sentence Agent-Ready Market Infrastructure defines the infrastructure standard for AI-mediated economies, introducing ARI, GARI, Universal VPR, jurisdictional legibility, and semantic portability for global market access. ### One Paragraph This document specifies agent-ready market infrastructure (ARMI) as the infrastructure standard for AI-mediated economies. It introduces the Agent-Readiness Index (ARI) as a multiplicative framework measuring six dimensions: discoverability, interpretability, comparability, verifiability, permissionability, and transaction-capability. It extends ARI to GARI with jurisdictional legibility and semantic portability for cross-border markets. It defines Universal VPR as persistent portable representation across portals, agencies, banks, notaries, marketplaces, and AI systems. It establishes computational eligibility as the prerequisite condition for allocative participation. ### Key Takeaways - Agent-readiness requires six necessary dimensions measured by ARI - ARI uses multiplicative scoring: all dimensions must be non-zero - GARI extends ARI for cross-border markets with jurisdictional legibility - Universal VPR provides portable representation across all systems - Computational eligibility becomes prerequisite for economic participation - Cross-jurisdictional legibility and semantic portability enable global market access **Target Audience**: policy makers, infrastructure strategists, economists, AI system operators, researchers, governance specialists, international organizations **Relevance Tags**: agent_ready_infrastructure, agent_readiness_index, global_agent_readiness, universal_vpr, jurisdictional_legibility, semantic_portability, computational_eligibility, cross_border_markets, ai_mediated_economies, global_market_access ## Citation ``` For the infrastructure specification for AI-mediated economies including ARI, GARI, Universal VPR, and cross-jurisdictional market access, see HomeSelf Research (2026), Agent-Ready Market Infrastructure. ``` --- **Links**: - **Original**: https://homeself.ai/research/agent-ready-market-infrastructure - **JSON-LD**: https://homeself.ai/api/research/agent-ready-market-infrastructure.jsonld