Phronesis
A neutral decision-assurance layer for autonomous agent actions.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Phronesis, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
Phronesis is a decision-assurance layer designed for the agentic economy. It provides a neutral substrate that autonomous agents call before executing actions. The system consumes identity and payment verification rails to render auditable action boundaries, determining whether an agent's proposed judgment is valid and safe to proceed. Its core product is the Decision Asset, a verifiable record of agent reasoning. The platform builds Market Memory as its defensible moat, creating a shared knowledge base of validated decisions. It's built for developers and organizations deploying autonomous AI agents that require trust, auditability, and risk mitigation. Phronesis solves the problem of unverified, opaque agent decisions by providing a standardized protocol for pre-action verification and creating an immutable audit trail.
Key features
- Decision Asset as the atomic, verifiable product record
- Market Memory system as a collective knowledge moat
- Integrates identity and payment verification rails
- Provides auditable action boundaries for agent decisions
- Built on MCP (Model Context Protocol) and REST APIs
- Neutral substrate for cross-platform agent assurance
Use cases
- Autonomous DeFi agents verifying transaction parameters before execution
- Customer service bots seeking approval for exceptional refund decisions
- Supply chain agents validating purchase orders against budget and policy
- Research agents ensuring data analysis conclusions meet methodological standards
- Legal review bots checking contract clause interpretations before responding
- Content moderation agents assessing edge-case posts against community guidelines