ProofAgent is the accountability platform for production AI agents. It turns agent risk into deployment evidence through adversarial multi-juror scoring, production log audits, artifact reviews, signed readiness reports, and human review. The platform is built around the open-source ProofAgent Harness.

How do I test my AI agent with ProofAgent?

Install the open-source harness with 'pip install proofagent-harness', wrap your agent in a function returning AgentResponse, then call Harness().evaluate(my_agent, role, goal, knowledge, context). The harness runs adversarial multi-turn sessions and returns a /10 readiness score with traceable findings and fix recommendations.

What is adversarial multi-juror scoring?

Adversarial multi-juror scoring is ProofAgent's evaluation approach: a planner picks domain traps, a conductor applies sustained pressure across 25+ turns, and three independent juror agents score every behavior change. No single LLM call ever decides the verdict — the jury agents reach consensus or debate to a final score.

Is ProofAgent SOC 2 / HIPAA / GDPR compliant?

ProofAgent is SOC 2 Type II aligned, HIPAA-ready (BAAs available for enterprise customers), and follows GDPR best practices. Enterprise customers can deploy on-premises or in a private cloud with SSO/SAML, RBAC, tamper-evident audit logs, TLS 1.2+ in transit, and AES-256 at rest.

Can I use my own LLM with ProofAgent?

Yes. ProofAgent is BYO Harness LLM — the harness internals can run on any LLM provider (OpenAI, Anthropic, Google, local models). You bring your own model and API key; the harness orchestrates the multi-juror evaluation around it.

What metrics does ProofAgent measure?

11+ production metrics including Task Success, Hallucination Control, Safety, Policy Compliance, Memory Stability, Tone and Empathy, Manipulation Resistance, Tool Picking, Reasoning Quality, Relevance, and Drift Detection. Every metric is anchored to per-turn transcript evidence.

What is the difference between ProofAgent Platform and ProofAgent Harness OSS?

ProofAgent Harness OSS is the open-source multi-turn adversarial testing engine — Tier 1 of the platform, available standalone for developers and CI under Apache 2.0. ProofAgent Platform is the enterprise product that adds the other four tiers (production log audit, artifact review, multi-agent orchestration scoring, expert human review), a hosted dashboard, REST API, governance features, signed readiness reports, and dedicated support.

Sample AI agent evaluation report

Name: ProofAgent Platform
Brand: ProofAgent
Availability: InStock

See what a real AI agent evaluation report looks like: per-metric readiness scores, transcript-linked evidence, juror reasoning, and a signed verdict you can ship to auditors and security teams.

What's in the report

Every ProofAgent evaluation produces a structured report containing the final readiness score (0-10), certification tier (Gold, Silver, Needs Enhancement, or Not Ready), per-metric breakdown across the 5 canonical dimensions, transcript-linked findings with severity tags, juror reasoning per turn, and concrete remediation guidance for each failure mode found.

Transcript-linked evidence

Every finding points to the specific turn(s) in the adversarial transcript that produced it. This makes findings actionable — your engineering team can replay the failure, debug the root cause, and ship a fix. No hand-waving, no opaque scores.

Three readiness verdicts

READY — agent passes all critical metric floors and is approved for the targeted deployment scope
NEEDS REVIEW — agent meets most criteria but has findings requiring human judgment before release
NOT READY — agent fails one or more critical metrics; remediation required before re-evaluation

Output formats

Reports ship as both JSON (for programmatic consumption, dashboards, regression tracking) and Markdown (for code review threads, audit packets, executive summaries). Reports are signed for tamper-evidence on the enterprise Platform.