Singapore — December 1, 2025 — AgentLISA, an AI-powered smart contract security layer, has rapidly climbed to the #4 position on the x402scan 24-hour leaderboard, recording 3,578 paying developers and $3,100 in revenue within a single day. The achievement follows the project’s launch on October 29 and reflects strong early adoption of its permissionless, instant-settlement security infrastructure.
Born at the intersection of Web3 security and autonomous AI systems, AgentLISA (agentlisa.ai) is positioned as a foundational layer for the emerging agent-to-agent economy, a market increasingly shaped by machine-generated transactions, programmatic interactions, and continuous on-chain execution.
Closing the Automation Gap in Smart Contract Security
Web3 developers deploy hundreds of thousands of contracts each month—many without any form of security review. Manual audits remain expensive, slow, and incompatible with fast-iterating development cycles.
AgentLISA addresses this gap through automated, on-demand analysis powered by a multi-agent LLM architecture trained for Web3 security. This design allows the system to deliver audit-level insights at a fraction of traditional cost and latency.
Benchmark evaluations show that AgentLISA:
- Identifies 9 of 10 OWASP-prioritized vulnerabilities
- Performs complex logic checks comparable to expert auditors
- Reduces analysis time from days to seconds
This precision is driven by TrustLLM, the platform’s underlying Web3-native AI framework built for code reasoning and multi-step vulnerability detection.
Permissionless Access Through x402
AgentLISA integrates natively with x402, a settlement layer enabling autonomous systems to consume services without accounts, API keys, or centralized onboarding.
- Developers and AI agents can trigger scans programmatically
- Payments settle in seconds via USDC on Base
- Results can be consumed immediately for further automated workflows
This alignment with the x402 architecture makes AgentLISA one of the first security tools designed specifically for machine-driven development environments.
A Cost Model Built for Scale
Traditional audits rely on human labor, creating high fixed costs and long delivery cycles.
AgentLISA reverses this paradigm using a low-marginal-cost, usage-based pricing model, charging $0.50 to $5 per scan.
This makes professional-grade security accessible to nearly the entire Web3 developer base, including:
- independent builders
- hackathon teams
- early-stage protocols
- autonomous agents writing and deploying code in real time
Beyond one-off scans, the system supports continuous coverage through:
- CI/CD hooks
- contract-upgrade verification
- automated pre-deployment checks
- educational integrations
- bug bounty automation
Each successful scan feeds back into the platform’s models, strengthening detection accuracy over time.
Adoption Momentum and Network Coverage
Within the same 24-hour window, AgentLISA also reported:
- 3,000+ registered users
- 500 premium subscribers
- Support across 14 networks, including Ethereum, Solana, Base, Arbitrum, BSC, Polygon, Optimism, and Avalanche
As developer usage expands, exposure to diverse codebases enhances the platform’s performance, creating a self-reinforcing improvement loop.
Workflow-Native Integration Creates Stickiness
AgentLISA integrates seamlessly with tools developers already use daily:
- IDEs: VS Code, Cursor
- Version control: GitHub
- Automation: CI/CD pipelines
- AI development: MCP support for Claude
This “invisible integration” creates workflow-level stickiness, letting developers adopt continuous security without changing how they build.
Combined with x402’s instant-settlement architecture, these integrations position AgentLISA as a cornerstone for secure, autonomous machine-to-machine interactions.
Key Milestones
- Top 5 ranking on x402scan within 24 hours
- 3,578 paying developers and strong engagement metrics
- TrustLLM-powered multi-agent detection, matching professional auditor performance in real tests
- Over $7.3M in potential exploits prevented across real-world contract analyses
- 14-network support across major chains
- $12M in funding led by Redpoint Ventures and NGC Ventures
About AgentLISA
AgentLISA is an AI-driven smart contract security platform built to deliver precise, on-demand vulnerability detection. Leveraging a multi-agent LLM framework and permissionless settlement via x402, the platform provides instant, scalable, and cost-efficient protection for developers and autonomous agents alike. AgentLISA integrates directly into development workflows, offering continuous monitoring and improving its detection models with every scan.
Learn more at agentlisa.ai
Contact: [email protected]