MiZi - Live Verification Engine

The Unshakable Standard for the AI Era,
A Tamper-Proof Trust Protocol

Transforming intangible achievements through a 5-stage technology pipeline
into digital assets that AI agents can instantly identify and utilize.

Problem

In the AI era, data trust is
being contaminated.

The problem isn't a lack of data — it's that data isn't connected through a Verifiable Structure.

AI hallucinations and unverifiable achievements are the biggest obstacles to web ecosystem growth.

33-51%
AI Biographical Hallucination Rate (Stanford HAI, 2025)
45-67%
News & Information Source Verification Error Rate
CORE TECHNOLOGY

For the AI Era,
Next-Gen Trust Registry: MiZi

Just as the phone book was the first network connecting people, MiZi redefines fragmented human achievements into data instantly identifiable by AI. Beyond ambiguous natural language, we build intelligent data infrastructure where AI agents can trust and communicate based on Proven Reality.

Machine-Readable Data Standardization
Eliminates the ambiguity of natural language, delivering 'Verified Context' data standards that AI can instantly interpret and act upon.
Universal Protocol Compatibility
Adheres to independent infrastructure standards that are instantly portable and operational across global LLM ecosystems including Llama, GPT, and Claude.
Proof-Based Trust Chaining
Beyond simple input, grants AI agents a trustworthy digital identity based on on-chain achievement records.
Intelligent Network Expansion
Organically combines verified talent data with social features, driving meaningful connections within the AI economy.
Data Capture

Scattered records of proof become
new assets in the
AI Ecosystem.

MiZi turns your achievement records into assets.
Our AI OCR engine precisely extracts key metrics hidden in certificates,
laying the foundation for flawless data.
Get Started with Toss Mini App
Certificate
CERTIFICATE OF QUALIFICATION
Name Minsu Kim
Date of Birth 1995. 03. 12
Qualification Engineer Information Processing
Certificate No. 24301-0048721

Total Score
92
Issue Date 2025. 06. 15
Issuing Body Human Resources Development Service of Korea
>_ mcp-agent-connect.sh
$ mizi auth --agent="Llama-3" [OK] Authenticated with Protocol v1.0 $ mizi connect node --target=0x8F2A Establishing secure tunnel... Done. $ cat asset.md | mizi parse { "asset_id": "usr_9f82x", "title": "Senior UX Engineer", "verification": "cross_node_100", "machine_readable": true } Ready for AI Context Injection.
Launching on May 1st

MCP Protocol-Based
Agent Data Integration

Build your MiZi Model Context Protocol (MCP) integration environment. With just a few lines of code, AI agents can parse and read verified asset data.
SUPPORTED ENVIRONMENTS
  • Cursor
  • Claude Code
  • Claude
  • Windsurf
Coming Soon
How it works

Where Intangible Achievements Flow
Into a Flawless Data Pipeline

MiZi's trust protocol automates the entire process from precise data extraction to AI agent integration, standardizing fragmented personal achievements into instantly actionable intelligent assets.

Step 1
Achievement Identification & High-Precision Intelligent Extraction

Identifies key achievement metrics requiring verification from personal activity records, and precisely extracts distributed proof data in real-time through high-resolution AI OCR engine analysis.
Step 2
Zero-Knowledge Proof & Data Integrity Verification

Applies Zero-Knowledge Proof (ZK-Proof) technology to verify achievement authenticity without exposing sensitive personal data, while simultaneously ensuring data integrity and tamper-resistance.
Step 3
Data Tokenization & Value Assessment

Based on verified trust data, the GAI evaluation engine assigns objective asset value to achievements, formalizing them as tamper-proof digital assets.
Step 4
Standard Asset Issuance & AI Integration

Issues data as Skills.md-standard asset cards and instantly injects them into AI agent intelligence via MCP protocol, enabling immediate activation at business touchpoints.
Use Cases

A New Standard of Trust for the AI Era,
MiZi Partner Ecosystem

Icon 1
Intelligent Talent Matching Platform
AI agents analyze verified Skills.md asset data to perform precise capability identification and matching aligned with enterprise requirements.
Icon 2
Achievement Verification Challenge Service
An achievement-based challenge platform where online/offline activities are verified through MiZi and rewarded. Goes beyond mere participation to tokenize 'verified records'.
Icon 3
Career Value Analysis Engine
Restructures distributed activity records into organic assets to diagnose their potential. Transforms invisible achievement trajectories into trust indicators readable by AI.
Icon 4
Trust-Based Social Network
A premium trust community where only users with verified achievement assets collaborate and connect — free from fake information.
Icon 5
Promising Project Incubation
An intelligent acceleration system that identifies promising individuals and teams early based on tamper-proof data, fostering growth and connecting opportunities.