AgentLISA: AI-native security engine rises to the top of the x402scan trending list, leading a new era of automated smart contract auditing

As a new generation AI-native smart contract security infrastructure, AgentLISA quickly attracted industry attention after its launch: it surged to 4th place on the x402scan 24-hour trending list, attracting 3,578 paying developers and achieving a daily revenue of $3,100. Since its release on October 29, it has demonstrated strong market traction in just two days.

AgentLISA (agentlisa.ai) positions itself as the foundational security infrastructure for the era of autonomous AI Agent execution, providing trustworthy security guarantees for future machine collaboration networks through automated, high-concurrency auditing capabilities.

AI-driven Automated Auditing System: Instant Protection for Large-scale Web3 Development

With the explosive growth of Web3 development, only a tiny fraction of the hundreds of thousands of contracts deployed each month receive professional audits, leading to a continuous accumulation of security risks.
AgentLISA leverages a multi-agent reasoning architecture + Web3-native model TrustLLM to build a “real-time auditing engine,” specifically designed to address this structural gap.

Test data shows that AgentLISA can:

• Identify nine out of the OWASP Top 10 critical vulnerabilities

• Detect complex logical flaws that traditional tools struggle to find

• Reduce audit speed from days to seconds

The results show that AI-driven logical inference paths can now approach the depth and accuracy of professional audit teams.

Barrier-free Invocation: Building Security Protocols for “Machine Users” with x402

With deep integration with the x402 settlement layer, AgentLISA becomes a security service that can truly be “automatically invoked by AI Agents”:

• No account or API Key required

• Audit requests can be triggered programmatically by machines

• USDC settlement on the Base network within seconds

• Results can directly enter automated callbacks and subsequent workflows

In this model, security auditing for the first time possesses the fundamental characteristics of “permissionless” and “automatic consumption,” adapting to the imminent explosion of Agent-to-Agent transactions and code execution.

Pay-per-use Scalable Model: Bringing Professional Security Capabilities to All Developers

Traditional audits rely on manual labor and fixed investment, resulting in high costs and long delivery cycles. AgentLISA adopts a pay-per-use model with extremely low marginal costs, making security capabilities accessible as a cloud service:

• Single scan price only $0.50～$5

• Suitable for independent developers, early-stage projects, and Hackathon teams

• Compatible with AI Agents that automatically generate and deploy code

In addition, the platform provides a full suite of continuous security coverage capabilities:

• Automatic scanning triggered by CI/CD submissions

• One-click verification for contract upgrades

• Pre-deployment self-checks

• Educational scenarios, audit assistance, and bug bounty integration

Each scan feeds back into model training, enhancing the system’s understanding of new contract structures, languages, and patterns, forming a continuously growing capability curve.

Rapid Growth in Usage and Ecosystem Data: Expanding Full-Chain Capabilities

With the increase in user numbers, AgentLISA’s ecosystem coverage capabilities have rapidly improved. The latest data shows:

• 3,578 paying developers

• 3,000+ registered users, 500 subscribers

• Supports 14 mainstream public chains: including Ethereum, Solana, Base, Arbitrum, Polygon, Optimism, Avalanche, BSC, etc.

• Has helped avoid over $7.3 million in potential losses (based on real contract analysis results)

As the platform encounters more diverse code and protocol structures, the system will continue to learn and improve detection accuracy.

Deep Integration into the Developer Toolchain: Evolving from “Audit Product” to “Underlying Infrastructure”

One of AgentLISA’s key features is its native adaptation to developer workflows. It currently covers:

• Editors: VS Code, Cursor

• Version control: GitHub

• Automation: CI/CD

• AI toolchain: Claude MCP

This “seamless integration” makes security verification a natural part of the development process, rather than an extra step. Combined with x402’s instant settlement feature, AgentLISA is gradually building the foundational security protocol for the AI Agent era.

Highlights at a Glance

• Entered x402scan Top 5 within 24 hours of launch

• 3,578 paying developers in a single day

• TrustLLM multi-agent architecture achieves “audit-level” performance

• Avoided over $7.3 million in potential attack losses

• Covers 14 mainstream chains

• Raised $12 million led by Redpoint Ventures, NGC Ventures, and others

About AgentLISA

AgentLISA is an AI-driven smart contract security platform that achieves high-precision vulnerability detection through a multi-agent LLM architecture. The platform supports permissionless access, pay-per-use, and real-time settlement, naturally integrating into the workflows of developers and AI Agents to provide fast, stable, and scalable smart contract auditing capabilities. As usage scales up, AgentLISA’s model will continue to optimize, building a new generation of security infrastructure for Web3.