Glossary
Governed Agentic Commerce Glossary
Extractable, citable definitions for the operating model behind governed commerce agents: GACO, PRISM, AVO, HarnexaHarness, AgentOps, CLEAR, risk classes, and the protocol stack.
- A2A (Agent-to-Agent protocol)Protocol
- An open protocol for secure communication and coordination between AI agents.
- ACP (Agentic Commerce Protocol)Protocol
- A commerce protocol for AI-assisted purchase flows where agents, people, and merchants complete orders together.
- Agent Visibility Optimisation (AVO)AVO / GEO
- Product-data readiness for AI buying agents that need to discover, compare, represent, and recommend products accurately.
- AgentOpsOperations
- The operating layer for deployed agents: identity, audit review, evaluation, cost, risk, and drift management.
- Agentic commerceCommerce
- Commerce workflows where AI agents discover, decide, propose, or transact within governed boundaries.
- AP2 (Agent Payments Protocol)Protocol
- A protocol direction for scoped, accountable payments initiated through agentic flows.
- Append-only audit logGovernance
- A database-backed event log where agent events are inserted but never updated or deleted.
- Article 50 (EU AI Act)Regulation
- EU AI Act transparency obligations for certain AI interactions and generated outputs.
- Budget governanceGovernance
- Per-agent limits on tool calls, tokens, time, or spend before a workflow can continue.
- CLEAR frameworkEvaluation
- HARNEXA's evaluation scorecard for Cost, Latency, Efficiency, Accuracy, and Reliability.
- Commerce protocol stackProtocol
- The emerging set of agent-readable commerce standards: MCP, WebMCP, A2A, UCP, ACP, AP2, and payment rails.
- DESTRUCTIVE risk classRisk class
- The risk class for irreversible tool actions such as deletion, credential revocation, or destructive system changes.
- FINANCIAL risk classRisk class
- The risk class for commercial, customer-impacting, or money-adjacent tool actions.
- GACO FrameworkMethodology
- HARNEXA's operating model for governed agentic commerce.
- GEO (Generative Engine Optimisation)AVO / GEO
- Content and structured-data work designed to be cited correctly by AI answer engines.
- Governed agentGovernance
- An AI agent constrained by identity, permissions, risk classes, approval gates, sensors, and audit logs.
- HarnexaHarnessArchitecture
- HARNEXA's governed execution loop for every agent tool call.
- Human-in-the-loop (HITL)Governance
- A workflow pattern where a human must approve before an agent crosses a consequential boundary.
- LangGraphArchitecture
- A graph-based framework for stateful, checkpointed agent workflows.
- MCP (Model Context Protocol)Protocol
- An open standard for connecting AI systems to tools and data sources.
- Memory governanceGovernance
- Rules for what agent memory can store, trust, retrieve, update, and forget.
- ORACLEAgent
- HARNEXA's specialist evaluation agent for CLEAR trajectory assessment.
- PHANTOM VSAAgent
- HARNEXA's flagship governed virtual sales assistant for CPG field visits.
- PRISM readiness scoreMethodology
- HARNEXA's 0-100 readiness score for governed agentic commerce workflows.
- READ_ONLY risk classRisk class
- The risk class for analysis or retrieval tool calls that do not change external state.
- Trajectory evaluationEvaluation
- Evaluation of the full agent run, including tool calls, risk classes, approval events, and outcomes.
- UCP (Universal Commerce Protocol)Protocol
- A commerce protocol direction for turning AI interactions into direct buying while merchants retain control.
- WebMCPProtocol
- A browser-context approach for exposing website actions as structured tools for AI agents.
- x402Protocol
- A payment protocol pattern that revisits HTTP 402-style payment flows for machine-readable transactions.