Singapore, Singapore, November 12th, 2025, Chainwire
AgentLISA achieved #4 on x402scan’s 24-hour leaderboard with 3,578 paying developers and $3,100 in daily revenue—up 2,500% from launch two days ago on October 29, 2025.
The milestone highlights early market validation for the project’s permissionless, instant-settlement infrastructure designed to accelerate autonomous agent adoption. The team states that AgentLISA (agentlisa.ai) is being developed as a potential security layer for the growing agent-to-agent economy, addressing an estimated $2 billion-plus market opportunity.
Technology and Market Context
AgentLISA’s development stems from the convergence of three major trends shaping the Web3 ecosystem: scalable smart contract security, AI-driven code analysis, and machine-to-machine payment infrastructure.
1. Closing the Web3 Security Gap
Roughly 200,000 smart contracts are deployed each month, many unaudited and exposed to vulnerabilities. AgentLISA addresses this by providing automated, on-demand analysis at scale, offering cost-efficient, real-time security coverage for developers and protocols.
2. AI-Driven Precision
Powered by TrustLLM, a Web3-native multi-agent language model, AgentLISA mirrors how expert auditors review code. Benchmarking shows detection of 9 out of 10 OWASP vulnerabilities versus 5 out of 10 for static analyzers, with major reductions in analysis time and cost.
3. Integration with x402 Infrastructure
Using the x402 permissionless settlement layer, AgentLISA enables autonomous systems to access audits without accounts or API keys. Payments settle on-chain within seconds via USDC on Base, allowing developers and AI agents to interact programmatically and instantly.
The Unit Economics of Network Effects
Traditional smart contract audits face high fixed costs, long turnaround times, and limited scalability due to manual processes. AgentLISA reverses this model with near-zero marginal cost, usage-based pricing, and continuous, automated security.
Priced between $0.50 and $5 per scan, the platform opens access to 99% of Web3 developers who previously couldn’t afford manual audits. Beyond one-time scans, AgentLISA enables continuous protection through:
Scanning on every commit via CI/CD integration
Automatic verification of each contract upgrade
AI-driven self-auditing before deployment
Embedded checks within educational and bug bounty workflows
This evolution positions AgentLISA as composable infrastructure—providing scalable, always-on security across blockchain networks.
Early metrics underscore this momentum:
3,578 paying developers in 24 hours, ranking Top 5 on x402scan
Over 3,000 registered users and 500 premium subscribers
Support across 14 blockchain networks, including Ethereum, BSC, Solana, Base, Arbitrum, Polygon, Optimism, and Avalanche
Each completed scan helps refine AgentLISA’s detection models. As developer usage grows, exposure to diverse codebases enhances accuracy and performance, creating a feedback loop that continually strengthens the platform’s capabilities at scale.
Distribution as Moat: Workflow Integration Creates Lock-In
AgentLISA integrates directly into existing developer environments, allowing seamless adoption without disrupting workflows. Current integrations include:
IDEs: VS Code, Cursor
Version control: GitHub
Automation: CI/CD pipelines
AI workflows: MCP support for Claude
By embedding security within daily development tools, AgentLISA enhances efficiency and long-term engagement. Combined with x402’s permissionless, instant-settlement framework, it serves as core infrastructure for the emerging agent-to-agent economy.
Key Highlights:
1. Rapid Developer Adoption
Within 24 hours of launch, AgentLISA onboarded 3,578 developers and reached the Top 5 on x402scan, showing strong early traction and engagement from the developer community.
2. Advanced Technology Framework
Powered by TrustLLM and a multi-agent architecture with formal verification, AgentLISA demonstrates notable accuracy advantages—detecting 9 of 10 OWASP vulnerabilities and achieving a 100% success rate in multiple real-world audits. Across analyzed projects, the platform has helped prevent over $7.3 million in potential exploits.
3. Infrastructure for the Agent Economy
Through integration with the x402 instant-settlement layer, AgentLISA enables autonomous systems to access continuous, permissionless security capabilities that align with the infrastructure demands of the emerging agent-to-agent economy.
4. Scalable Delivery Model
Operating on a low-cost, usage-based framework, AgentLISA provides continuous security coverage for Web3 developers worldwide. Its automation-driven design allows scalable protection without compromising analytical precision.
5. Continuous Learning and Data Improvement
Each scan refines AgentLISA’s detection models, strengthening accuracy and performance as platform usage expands across diverse codebases and networks.
6. Institutional Support
AgentLISA has raised $12 million in funding, led by Redpoint Ventures and NGC Ventures, to support further platform development and global expansion.
Looking Ahead
AgentLISA is building core security infrastructure to support the emerging autonomous agent economy. Its recent #4 ranking on x402scan reflects increasing adoption of its permissionless, instant-settlement framework, enabling new forms of on-demand smart contract analysis.
At the intersection of scalable Web3 security, advanced AI, and open protocol infrastructure, AgentLISA continues to strengthen its position as a leading technology platform for secure, agent-to-agent interaction.
About AgentLISA
AgentLISA is an AI-powered smart contract security analyzer using a multi-agent LLM framework to detect complex vulnerabilities that traditional tools miss. It delivers professional audit depth at a fraction of the cost and time through instant pay-per-use scanning and subscriptions. By integrating seamlessly into developer workflows, it helps secure unaudited contracts and prevent significant financial losses.
To learn more, users can visit: https://agentlisa.ai
Contact
AgentLISA
contact@agentlisa.ai
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