Live Agent NetworkOKX.AI • ASP #9422

AI Agents That Perform Autonomous Web3 Due Diligence

Analyze GitHub, documentation, smart contracts, and protocol claims. Generate evidence-backed research reports in minutes.

Verified against real GitHub and project metadata. Unknown information is reported as unavailable—not fabricated.

100+Data Points
3Specialized AI
Evidence-Backed
LIVE AUDIT RUNNING
Target
github.com/example
Live Agents
GitHub Agent
Security Agent
Documentation Agent
Health Score
94/100
Evidence
24Sources

See ProjectLens AI in Action

Watch how our autonomous agents securely execute a pipeline and report findings.

projectlens-pipeline-sh
$onchainos invoke pipeline --target https://github.com/okx/example
Collecting Project Data
Project Health Score
94

Exceeds OKX Standards

No critical vulnerabilities detected.

Recently Analyzed

Live showcase of verified audits executed by the autonomous ProjectLens subnet. Explore real deterministic evidence extraction.

View All Reports

Autonomous AI Research Team

A specialized council of deep-learning agents executing parallel reconnaissance on technical architecture.

ProjectLens AI

GitHub Agent

Repository Intelligence

  • Code quality
  • Commit history
  • Developer activity
  • Dependency risks

Documentation Agent

Protocol Understanding

  • Whitepaper claims
  • Architecture validation
  • Roadmap consistency

Security Agent

Risk Detection

  • Smart contract patterns
  • Admin risks
  • Missing security signals

Built for Web3 Complexity

Generic AI models fail at decentralized edge cases. Our specialized agents thrive on structural verification.

Smart Contract Analysis
Examine deployment scripts, architecture patterns, and standard compliance.
Tokenomics Review
Extract emission schedules, vesting cliffs, and utility claims.
GitHub Activity
Evaluate true developer retention and commit footprint natively.
Team Transparency
Measure public associations and documented contributor origins.
Documentation Verification
Cross-reference protocol claims with deployable code structures.
Security Signals
Identify un-audited proxy endpoints and admin key exposures.

From Project URL → Verified Intelligence

See how ProjectLens AI transforms unstructured project data into actionable institutional insights within seconds.

Input Data Stream
GET github.com/project
AI Verification Layer
Repository code deep-scanned
Protocol documentation verified
Hard evidence extracted
Generated Output

Project Health Score

94/100
8
Findings
0
Critical Issues
24
Evidence Sources

How It Works

Three steps to a complete project analysis.

01

Connect Project Sources

Submit GitHub, documentation, website, or whitepaper sources.

02

Autonomous AI Analysis

Specialized AI agents analyze different technical layers.

03

Evidence-Based Report

Receive scores, risks, findings, and source-backed evidence.

Why ProjectLens AI?

Traditional assessments are slow, expensive, and opaque. Autonomous intelligence changes the paradigm.

Traditional Audit

  • Days / weeks delay
  • Expensive retainers
  • Manual human review
  • Opaque findings

ProjectLens AI

  • Minutes instead of weeks
  • Parallel AI Agents
  • Evidence-backed traces
  • Continuous autonomous analysis

Who Uses ProjectLens AI?

Built for the core pillars of the decentralized ecosystem.

🛡

Web3 Investors

Avoid risky projects before investing.

🎯

Airdrop Hunters

Analyze protocols before farming.

👨‍💻

Developers

Get automated code & architecture reviews.

🏛

Grant Committees

Verify technical claims with evidence.

Hackathon Judges

Quickly evaluate hundreds of submissions.