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A structured, machine-readable record in an AI service directory that describes an agent's capabilities, interfaces, pricing model, operational constraints, and trust credentials, enabling potential consumers to evaluate and select the agent for integration into their workflows. Listings serve as the primary discovery artifact in agent marketplaces and must be kept current with the agent's actual capabilities to prevent integration failures. Standardized listing schemas are required to enable automated matching between service consumers and providers across heterogeneous marketplaces.

A formal declaration by an AI agent or service provider enumerating the specific functions, data types, protocols, and performance characteristics the agent is able to provide, published in a machine-readable format consumable by discovery and orchestration systems. Capability advertisements must be versioned so that consumers can detect changes to an agent's capabilities over time and update their integration configurations accordingly. Advertisements that misrepresent agent capabilities constitute a violation of marketplace integrity standards and may trigger listing suspension.

A standardized communication mechanism that enables AI agents and orchestration systems to locate, query, and retrieve information about available agent services within a distributed marketplace, without requiring prior knowledge of specific service endpoints. Discovery protocols must support both push-based registration — where agents announce their availability — and pull-based querying — where consumers actively search for agents meeting defined criteria. Protocol compliance is a prerequisite for listing visibility in federated agent directories.

A governed, centrally accessible repository that maintains authoritative records of all registered AI agents within a marketplace ecosystem, including their capabilities, trust credentials, pricing structures, and operational status. Marketplace registries serve as the canonical source of truth for agent discovery and must implement real-time availability signals to prevent consumers from routing requests to offline or suspended agents. Registry integrity requires continuous validation of listing accuracy through automated capability probing and periodic credential verification.

The process by which a marketplace operator confirms that an agent's published listing accurately reflects its actual capabilities, credentials, and operational status before approving the listing for public visibility. Verification reduces the risk of fraudulent or misleading listings that could cause consumers to select agents incapable of fulfilling their requirements. Verification workflows typically include automated capability testing, credential validation against issuing authorities, and periodic re-verification to detect listing staleness.

The assignment of a registered AI agent to one or more standardized categories within a marketplace's hierarchical classification scheme, enabling consumers to browse and filter agents by functional domain, capability type, or application context. Taxonomy classifications must be based on formal, machine-readable ontological definitions to support semantic search and automated agent selection. Classification accuracy is the responsibility of the listing publisher, subject to marketplace operator review and correction.

A formal declaration included in an agent's marketplace listing specifying the performance commitments the agent guarantees to consumers, including availability targets, response latency bounds, throughput limits, and error rate thresholds. Service level advertisements enable consumers to evaluate whether an agent's performance profile meets their operational requirements before committing to integration. Advertised service levels must be backed by verifiable measurement data and subject to marketplace enforcement mechanisms.

A retrieval operation that queries multiple independent agent registries simultaneously, aggregating and deduplicating results to present a unified view of available agents across a distributed marketplace ecosystem. Federated search enables consumers to discover agents registered in specialized or domain-specific directories without requiring separate queries to each registry. Federation protocols must handle result ranking normalization, conflict resolution for duplicate listings, and graceful degradation when individual registries are unavailable.

A tamper-evident audit trail documenting the complete history of an agent's marketplace listing, including initial registration, capability updates, credential renewals, status changes, and any enforcement actions taken by the marketplace operator. Provenance records enable consumers to assess the maturity and stability of a listed agent's operational history before committing to integration. Marketplace operators must retain provenance records for defined periods to support dispute resolution and compliance auditing.

A verifiable attestation from a recognized third party — such as a certification body, previous consumer, or standards organization — affirming that a listed agent meets specific quality, security, or compliance standards beyond those verified by the marketplace operator. Endorsement signals increase consumer confidence in listed agents by providing independent validation of capability and trustworthiness claims. Endorsements must be cryptographically verifiable and must include expiration dates to prevent reliance on outdated validations.

An automated system within an agent marketplace that evaluates consumer-specified requirements against registered agent capability advertisements, identifying and ranking agents that best satisfy the specified criteria across multiple dimensions including functional fit, performance, trust, and cost. Matching engines reduce the manual burden of agent selection by automating the comparison of complex, multi-attribute capability profiles. Engine accuracy depends on the quality and completeness of both the consumer's requirements specification and the agents' capability advertisements.

The standardized sequence of steps an agent provider must complete to register a new agent in a marketplace, including identity verification, capability declaration, credential submission, listing review, and approval for public visibility. Onboarding protocols enforce baseline quality and compliance standards that all listed agents must meet before being accessible to consumers. Protocol compliance ensures a consistent minimum bar of listing quality across the marketplace's full catalog of registered agents.

A structured, machine-readable representation of an AI agent's commercial terms, specifying the pricing model — such as per-call, subscription, or usage-tiered — the billing units, any included usage allowances, and the conditions under which pricing changes may occur. Standardized pricing schemas enable automated cost estimation and budget enforcement by orchestration systems that select and invoke agents on behalf of consumers. Pricing schema accuracy is a listing integrity requirement, with material discrepancies between advertised and actual pricing constituting grounds for listing suspension.

A technical specification governing the data formats, query interfaces, and federation protocols that agent directories must implement to enable cross-directory discovery, listing portability, and consumer access from heterogeneous orchestration platforms. Interoperability standards reduce marketplace fragmentation by enabling agents registered in one compliant directory to be discoverable by consumers operating against any other compliant directory. Compliance with interoperability standards must be verified through conformance testing before a directory is admitted to a federated marketplace network.

A composite metric assigned to an agent's marketplace listing that quantifies the completeness, accuracy, currency, and verification status of the listing's content, used by discovery and ranking systems to prioritize high-quality listings in search results. Quality scores incentivize listing publishers to maintain accurate, comprehensive, and up-to-date agent records by linking score to search visibility. Score calculation methodologies must be published by the marketplace operator to enable listing publishers to understand and optimize their listing quality.