As a new generation of AI-native smart contract security infrastructure, AgentLISA quickly attracted industry attention after its launch: it surged to 4th place on the x402scan 24-hour hot list, attracting 3,578 paid developers, with 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) is positioned as the underlying security infrastructure for the era of AI Agent autonomous execution, providing reliable 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 small fraction of the hundreds of thousands of contracts deployed each month receive professional audits, leading to a continuous accumulation of security risks.
AgentLISA builds a "real-time auditing engine" using a multi-agent reasoning architecture + Web3 native model TrustLLM, specifically designed to address this structural gap.

Testing data shows that AgentLISA can:

• Identify nine of the top ten critical vulnerabilities in the OWASP list

• Capture complex logical flaws that traditional tools struggle to detect

• Reduce auditing speed from days to seconds

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

No Barrier to Access: Establishing Security Protocols for "Machine Users" with x402

Thanks to deep integration with the x402 settlement layer, AgentLISA has become a security service that can truly be "automatically called by AI Agents":

• No need for accounts or API keys

• Audit requests can be triggered programmatically by machines

• USDC settlement on the Base network in seconds

• Results can directly enter automated callbacks and subsequent workflows

In this model, security auditing has for the first time acquired the fundamental characteristics of "permissionless" and "automated 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 and fixed investments, making them expensive and time-consuming. AgentLISA adopts a pay-per-use model with extremely low marginal costs, allowing security capabilities to be accessible as cloud services:

• Single scan prices range from $0.50 to $5

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

• Compatible with AI Agents that automatically generate and deploy code

Additionally, the platform offers a complete set of continuous security coverage capabilities:

• Automatic scanning triggered upon CI/CD submission

• One-click verification for contract upgrades

• Self-check before deployment

• Educational scenarios, audit assistance, and vulnerability bounty integration

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

Rapid Growth in Usage and Ecosystem Data: Continuous Expansion of Full-Chain Capabilities

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

• 3,578 paid developers

• 3,000+ registered users, 500 subscribed users

• 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 interacts with more types of code and protocol structures, the system will continue to learn and improve detection accuracy.

Deep Integration into the Development Toolchain: Evolving from "Audit Product" to "Underlying Infrastructure"

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

• Editors: VS Code, Cursor

• Version Control: GitHub

• Automation: CI/CD

• AI Toolchain: Claude MCP

This "close integration" makes security verification a natural part of the development process rather than an additional step. Combined with x402's instant settlement features, AgentLISA is gradually building an underlying security protocol for the AI Agent era.

Highlights Overview

• Entered the x402scan Top 5 within 24 hours of launch

• 3,578 paid developers in a single day

• TrustLLM multi-agent architecture achieves "audit-level" performance

• Has avoided over $7.3 million in potential attack losses

• Covers 14 mainstream chains

• Secured $12 million in funding 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, seamlessly integrating into the workflows of developers and AI Agents, providing fast, stable, and scalable smart contract auditing capabilities. As usage scales, AgentLISA's model will continue to optimize, building a new generation of security infrastructure for Web3.

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