Phronesis

phronesisintel.com
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A neutral decision-assurance layer for autonomous agent actions.

Description

Decisions you can audit —before the agent acts. · The neutral substrate an agent calls before it acts: it consumes the identity and payment rails and renders an auditable action boundary on whether the judgment holds up. The Decision Asset is the atomic product. Market Memory is the moat. MCP + REST co-equal. · The layer the other two assume but can't supply. · One motion. Every domain. Proven first where the stakes are sharpest. · Power-to-Compute Decision Monitor. · The neutral assurance substrate agentic markets need before machines can be trusted with real decisions.

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.

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

Specs

Type Agent
SectionModels & platforms
Pricing has a free tier
Platform API only
Systems api, web
Site languageen
Rating0.00 (0 reviews)
Views35
Launched2026-06-26

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