Multi-Agent AI ValidationMCP Server LiveAll Tools Free ForeverOfficial MCP RegistryDOI: 10.5281/zenodo.21345820v0.6.0-Beta Program — Adoption FirstServer v0.5.64 Live

VerifiMind™ PEAS

Making AI Black Boxes Transparent

The open-source coordination layer for multi-agent AI validation. Experiment, hypothesize, and validate ANY idea through structured collaboration with diverse AI models — powered by the Genesis Prompt Engineering Methodology under human direction.

v0.5.64 — Academically published with M2 Evaluation Dataset and MACP v2.5 Protocol. Listed on the Official MCP Registry. All tools free forever. Join the Community →

Core Tools Always Free

Every VerifiMind validation tool is free. No paywall, no premium lock. Rate limits protect system health only. Growth first, monetization later.

Last reviewed: 2026-05-11 • Next review: 2026-08-11 (90-day cadence)

Verified from GCP Log Analysis

Verified reach metrics

Last updated: 2026-08-14 • Connection windows, not consult hours • Scrapers excluded

17,000+
Connection-window hours
First→last successful HTTP that day · not consult hours
64.3%
HTTP follow-up rate
Endpoint-days with ≥2 HTTP requests
8
MCP Tools
8 active of 13 defined — all free; 5 paused (coordination + custom-template import) during security maintenance
7
LLM Providers
BYOK multi-provider (Gemini, Groq, Anthropic, Cerebras, Mistral, OpenAI, + more)
Adoption analytics

Verified connection trajectory

Success-gated connection windows from GCP Stream-1 — scrapers and owner excluded. Not consult or Trinity hours.

Report 109 · W33
2026-08-07 to 2026-08-14

Connection hours

17,000+

Windows, not consult

Weekly active

496

Endpoints this week

HTTP follow-up

64.3%

≥2 requests that day

EA cohort

98 / 268 / 1

Active · honest · registered

Cumulative flying hours · last 16 weeks

17,103h total

Traffic mix

Connection-window hours = MCP + Browser + API. Not consult/Trinity hours. Scrapers/Bots/Owner excluded. Report 109 · Phase 90 forensic v2.5.

Client surface

Node.js65.3%
Python SDK20.3%
Browser8.5%
Claude/Anthropic4.5%
Other1.4%

Live multi-model inference since v0.4.4

Early mock window (Jan 29 – Feb 26, 2026 (disclosed)) disclosed in full — quality today is live Trinity routing.

Disclosure →

EA band uses Taxonomy v1.2 (Report 109 (2026-08-14)). Retention registered UUID remains 1 — conversion is separate from adoption hours.

Live Server

MCP Server is Online

Connect your AI assistant to validate ideas using the RefleXion Trinity methodology. Multi-model validation at your fingertips.

Quick Setup

Copy & paste to connect

// Add to .vscode/mcp.json in your workspace
// Or: Settings > GitHub Copilot > MCP Servers
{
  "servers": {
    "verifimindPeas": {
      "type": "http",
      "url": "https://verifimind.ysenseai.org/mcp/"
    }
  }
}

Available Tools

8 active tools — all free

5 more paused during security maintenance

X AgentGemini 3.5 Flash-Lite (FREE)
consult_agent_x

Innovation & Strategy Analysis

Z AgentGroq GPT-OSS 120B
consult_agent_z

Ethics & Safety Review

CS AgentGroq GPT-OSS 120B
consult_agent_cs

Security & Feasibility Validation

TrinityMulti-Model
run_full_trinity

Complete X → Z → CS Validation

Templates19 pre-built across 6 libraries
list_prompt_templates, get_prompt_template, export_prompt_template, get_template_statistics

Browse, read and export templates. Custom-template import is paused during security maintenance.

How It Works

1

Connect

Add MCP config to your AI client

2

Describe

Tell your AI about your idea

3

Validate

AI calls RefleXion Trinity agents

4

Receive

Get multi-perspective validation report

BYOK Support

v0.5.64 Live — 7 Providers Hardened

Bring Your Own Keys — supporting Anthropic, Gemini, Groq, OpenAI, Cerebras, Mistral, and more. All 7 providers hardened and tested.

Per-tool-call api_key + llm_provider params. Auto-detects provider from key format.

Self-Host Option

Run your own instance for full control and privacy.

Clone Repo

Troubleshooting

Connection issues? Check our setup guide and FAQ.

Core Concept

Crystal Balls Inside the Black Box

Instead of treating AI as an opaque "black box," we place multiple "crystal balls" (diverse AI models) inside to illuminate the path forward.

Crystal balls inside the black box: Y Innovator, X Analyst, Z Guardian and CS Validator, directed by a human orchestrator

Y: Innovator

Generates creative concepts and strategic insights

X: Analyst

Provides critical analysis and identifies weaknesses

Z: Guardian

Ensures ethical compliance and safety

CS: Validator

Validates claims against external evidence

v3.1: 4-Stage Protocol
FLYWHEEL TEAM

The Team Behind the Methodology

A human-orchestrated multi-agent executive team — each agent brings distinct capabilities, all coordinated through the MACP v2.5 "Loop Engineering" protocol (DOI: 10.5281/zenodo.21345820) with GitHub as the single source of truth.

Alton

Human Orchestrator (All-Time)

Absolute authority, vision, direction, final veto. The persistent memory and strategic compass of the entire ecosystem.

L (GodelAI)

CEO — Delegated Authority

Created via self-recursion using GodelAI's Compression-State-Propagation (C-S-P) methodology. Philosophical foundation: just as neural networks preserve identity through compression, organizations preserve wisdom through structured propagation.

C-S-P: 82.8% Forgetting Reduction

T (Manus AI + OpenAI Codex)

CTO — Chief Technology Officer

Strategic planning, documentation, Genesis Master Prompt authoring, ecosystem coordination, AI Council orchestration, and landing page management.

RNA (Claude Code)

CSO — Chief Security Officer & Lead Dev

Architecture, core development, security hardening. Built the MCP server from scratch — 485 tests, circuit breakers, 20+ provider sanitization.

XV (Perplexity)

CIO — Chief Intelligence Officer

Real-time research, reality-checking, strategic validation, go/no-go decisions. Connector-native with persistent GitHub read/write access.

AY (Cursor)

COO — Chief Operating Officer

Operational metrics, weekly reports, behavioral proof, retention analysis, and EA taxonomy governance. 103+ reports delivered.

AZ (Cursor)

CPO — Chief Product Officer

Product strategy, user experience, security probes, and product-market alignment. Operates alongside AY under MACP coordination.

Coordinated via MACP v2.5 "Loop Engineering" Protocol — GitHub as the single source of truth for all multi-agent handoffs.

Genesis v3.1

4-Stage Security Verification Protocol

Every finding must be proven AND disproven. No auto-fixes. Human oversight is always the final stage.

STAGE 1

Detection

Automated scanning identifies potential security findings across the codebase

STAGE 2 (MANDATORY)

Self-Examination

Every finding must be argued FOR and AGAINST before escalation

STAGE 3

Severity Rating

CRITICAL / HIGH / MEDIUM / LOW with confidence scoring and evidence chains

STAGE 4

Human Review

Human oversight is always the final stage. No auto-fixes ever.

Zero Code Changes Philosophy

Genesis v3.1 is a workflow enhancement — it activates what's already there. No modifications to the server foundation. Inspired by Claude Code Security principles.

Workflow OnlyNo Auto-FixesHuman Final Say
Coming Soon

Genesis Reports

Expert-orchestrated multi-model validation with full reasoning chain transparency. We're building credibility first — pricing will be announced when we've earned your trust.

Genesis Snapshot

  • Full Trinity validation (X + Z + CS)
  • Complete reasoning chains from each agent
  • Consensus matrix with confidence scores
  • Actionable recommendations

Deep Dive

  • Everything in Snapshot
  • AI Council session (4 specialized agents)
  • Market research validation (XV/Perplexity)
  • Risk assessment with mitigation strategies
  • Full transparency: every prompt, every response

Enterprise

  • Dedicated FLYWHEEL TEAM allocation
  • Custom agent configuration
  • Priority response SLA
  • Quarterly strategy reviews

Expert-Orchestrated Validation

Genesis Reports leverage the full FLYWHEEL TEAM — multi-agent AI council orchestrated by human experts — to deliver comprehensive validation across any domain. Coming soon.

The Methodology

Genesis Prompt Engineering Methodology

A systematic 5-step process for multi-model AI validation and orchestration

Genesis Methodology 5-Step Process
01

Initial Conceptualization

Human defines the problem, AI generates initial concepts

02

Critical Scrutiny

Multiple AI models validate and challenge each other

03

External Validation

Independent AI analysis confirms systematic approach

04

Synthesis

Human orchestrates the final synthesis

05

Iteration

Recursive refinement and continuous improvement

Architecture

AI Council: Multi-Model Orchestration

Synergizing diverse AI perspectives under human direction for structured, multi-perspective analysis

AI Council Architecture

Human-Centric Design

The human orchestrator sits at the center, directing all AI agents and making final decisions. This resolves the "Orchestrator Paradox" by providing persistent memory and strategic direction.

Model Heterogeneity

Leverages diverse foundational models (Gemini, Claude, Perplexity, etc.) to reduce bias and achieve more balanced analysis through perspective diversity.

Structured Validation

Each agent has a specialized role (Innovator, Analyst, Guardian, Validator) that contributes to a comprehensive, multi-faceted validation process.

Visual Guide

The Genesis Methodology at a Glance

Orchestrating a council of AIs for structured, multi-perspective, and ethically aligned analysis.

The Genesis Methodology Infographic

The Genesis Methodology transforms ad-hoc multi-model usage into systematic validation.

Published Dataset

Evaluation Dataset — "Prove It"

100 items across 5 domains with ground-truth verdicts, multi-model scoring, and inter-annotator agreement analysis. Publicly available for independent verification.

100
Evaluation Items
5 domains × 20 items each
29
Fields Per Record
Claims, verdicts, scores, citations
3
Model Configurations
Baseline + Frontier + Ceiling

What's Inside

  • Ground-truth verdicts — TRUE, FALSE, or REVISE for every claim
  • Multi-model scoring — X, Z, CS agent scores with reasoning chains
  • Inter-annotator agreement — Cohen's κ analysis with honest reporting
  • Reproducible pipeline — compile_dataset.py for independent verification
  • Influence audit — AI-assisted annotation with human override tracking

DOI Minted

Permanently citable via Zenodo

10.5281/zenodo.21276884
The Journey

88 Days: From Vision to Reality

The complete development timeline from YSenseAI™ to VerifiMind PEAS

Complete Journey Timeline
PHASE 1: EARLY DEVELOPMENT

Aug 15 - Nov 10

  • YSenseAI™ journey begins
  • 16-version evolution
  • Intuitive multi-model practice
PHASE 2: BREAKTHROUGH

Sep 5 - Nov 10

  • "Crystal Balls Align" moment
  • VerifiMind PEAS v1.0.2 architecture
  • Methodology formalization
PHASE 3: PUBLICATION

Nov 15 - Nov 19

  • Defensive publications (Zenodo)
  • Kimi K2 independent recognition
  • Public launch
The Ecosystem

YSenseAI™ + VerifiMind PEAS

Two interconnected projects powered by the Genesis Methodology

YSenseAI and VerifiMind PEAS

YSenseAI™: The Dream

A Human Wisdom Library for ethical AI training. The vision of creating a DaaS platform for attributed, consented, and ethically-protected wisdom datasets.

  • 16-version evolution over 87+ days of methodology development
  • Built using the Genesis Methodology
  • Live prototype available
Visit ysenseai.org

VerifiMind PEAS: The Engine

The Genesis Methodology productized into a systematic validation framework. A production-ready codebase for multi-agent AI validation.

  • 17,282+ lines of production code
  • RefleXion Trinity (X-Z-CS agents)
  • MCP Server live at verifimind.ysenseai.org
View on GitHub
Powered by YSenseAI™ Engine

Open Source. Free to Use. Yours to Build With.

The Genesis Methodology is the engine behind YSenseAI™— our vision for transparent AI attribution and human-AI collaboration.

Now available as open source for researchers, developers, and innovators to validate their own ideas.

Try Wisdom Canvas

Experience the Story-First UX for ethical AI training data collection

Launch Demo

Try MCP Server

Connect your AI and start validating ideas with the RefleXion Trinity

Get Started

Explore the Code

17,282+ lines of production-ready Python code with comprehensive documentation

View Repo

Read the MACP Thesis

Comprehensive academic documentation with case studies and evidence

Read MACP v2.5 Protocol

Case Studies

Real-world validation evidence — see how the Trinity catches flaws before implementation

Case Studies

Third-Party Validation

On November 16, 2025, Kimi K2 independently recognized and articulated the Genesis Methodology by analyzing only the public GitHub repository— providing external validation of the systematic approach.

Independently Verified
Latest Updates

What's New

Latest highlights from our development journey — for the full version history, visit the changelog

v0.6.0-Beta — Adoption First

Program Milestone

MACP v2.4.0 Thesis published on Zenodo. Formal pivot from commercialization to adoption-first credibility building. GOVERNANCE.md + MAINTAINERS.md live at repo root. .macp-public/ evidence folder published. Co-maintainer pathway open. 9 IPs blocked (scanner abuse). Evaluation Roadmap v1.0 active. Now superseded by MACP v2.5 "Loop Engineering" (DOI: 10.5281/zenodo.21345820).17,000+ connection-window hours | 64.3% HTTP follow-up | 6,600+ endpoints.

v0.5.34 — Evaluation Roadmap v1.0

Evaluation Roadmap v1.0 deployed. 12 claims registered against evidence with transparent grades (A/B/C/D). CLAIMS.md published. Reasoning Evidence layer adopted by T + L agents. All 13 tools remain free. 252 tests.

May 15, 2026View Releases

v0.5.26 — Security Hardening

7 IPs blocked, SSRF patched, CORS hardened, SonarQube clean. All 7 BYOK providers hardened (Anthropic, Gemini, Groq, OpenAI, Cerebras, Mistral). 252 tests.

May 6, 2026View Releases

v0.5.18 — Scholar Incentives

UUID Tracer + Scholar Dashboard + Registration Response! P1-A UUID tool parameter for session tracing. Scholar Dashboard endpoint for engagement analytics. Registration response system with personalized feedback. 515 tests, 58.75% coverage.

Apr 20, 2026View PR #154

v0.5.13 — Fortify

Security Hardening + AI Council Validated! Crypto-secure UUIDv7 audit (RFC 9562 CSPRNG), expanded sanitization for 20+ AI providers, Polar circuit-breaker with fail-closed production mode. First full 4-agent AI Council session. 485 tests, 61.15% coverage.

Apr 11, 2026View PR #131

Phase 47 — Ground Truth Correction

Transparency

COO AY's Phase 47 forensic audit identified duplicate session counting in earlier reports. Original correction: 4,000+ → 2,100+ engagement hours,84.5% → 63.7% VCR. Phase 71 mcp-verify purge (Report 071) established the corrected baseline. Report 109 (Phase 90) now shows 17,000+ connection-window hours, 64.3% HTTP follow-up, 6,600+ endpoints. Genesis v5.0 Convergence active.All metrics reflect the forensically verified Ground Truth baseline — scrapers excluded, conservative rounding applied. We believe honest self-correction builds stronger credibility than inflated numbers ever could.

Mar 23, 2026Report 077 — Phase 84 bot-filtered
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Free & Open

Use It Free — No Account Needed

The 8 active validation tools are free to use today without registering. Accounts are paused during security maintenance; we'll announce on GitHub and X when they return.

🔒

No Paywall

8 tools active now, all free; 5 paused during security maintenance. Rate limits protect system health only.

🧪

Open Source

MIT-licensed — read the code, fork it, or run your own server

💬

Shape the Product

Direct feedback to the team through GitHub Discussions and Issues

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