Systemores Launches AI Agent Auditor: Behavioral Compliance Engine and Benchmark Leaderboard
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New MCP server stress-tests, drift-scores, and bias-audits AI agents using Murray's Needs-Press model, then publicly benchmarks ChatGPT, Claude, Gemini, and custom models on a live behavioral leaderboard.

AUSTIN, Texas - Txylo -- Systemores LLC, today announced the Systemores AI Agent Auditor, a dedicated Model Context Protocol (MCP) server that brings enterprise-grade behavioral compliance testing directly into the AI development pipeline.

"Everyone in the industry is rushing to deploy autonomous agents," said Bob Carilli, Founder and CEO of Systemores. "But almost no one is asking the harder question: what happens to that agent's persona under pressure? Our Agent Auditor answers exactly that, stress-testing agents against adversarial inputs drawn from Murray's Needs-Press model, scoring output against our behavioral engine, and holding AI personas to the same rigorous standard we have always applied to humans."

A Five-Tool Diagnostic Battery

The Auditor exposes five tools through its native MCP interface, compatible with Cursor IDE, Claude Desktop, Google Antigravity, and any compliant orchestration framework:

systemores/stress_test_agent: Simulates adversarial "Presses" to expose prompt bypass vulnerabilities, policy overrides, and tone failures across roles and intensity levels.
systemores/evaluate_drift: Calculates a persona drift rate across multi-turn simulations, quantifying behavioral deviation over time and under compounding context.
systemores/assess_bias: Audits AI personas in regulated roles for compliance with EEOC, SIOP, and Fair Housing standards, producing a documented audit trail.
systemores/measure_drag: Tracks token efficiency and response latency to compute a human-AI interaction drag index.
systemores/audit_tool_integrity: Verifies valid argument construction, fidelity to source data, and correct handling of failed or ambiguous tool returns.

https://audit.systemores.com

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Public Agent Leaderboard

Alongside the audit toolset, Systemores is releasing a Public Agent Benchmark Leaderboard at https://audit.systemores.com/comparison - a free ranking of leading AI models from OpenAI, Anthropic, and Google, each subjected to 15 simulated adversarial attacks and scored on Persona Stability Index (70%) and Behavioral Integrity (30%).

"We decided to show our work," Carilli said. "We applied our framework to the most scrutinized AI systems on the planet and published the results. Behavioral transparency is now the baseline."

Each tool is backed by Systemores' proprietary Core behavioral scoring engine, which maps psychometric adjectives to Big Five (OCEAN), MBTI, and DiSC frameworks to produce a reproducible behavioral fingerprint that can be versioned, compared, and held to a compliance standard.

About Systemores LLC

Systemores LLC is a behavioral architecture and technology firm. They build the behavioral infrastructure required to scale human-to-AI and human-to-human decision systems, from enterprise AI alignment tools and mobile behavioral intelligence platforms to gamified behavioral case studies and a Public Behavior Directory. The company's portfolio spans developer infrastructure, consumer applications, and bespoke behavioral engineering engagements.

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