
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.
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:
This precision is driven by TrustLLM, the platform’s underlying Web3-native AI framework built for code reasoning and multi-step vulnerability detection.
AgentLISA integrates natively with x402, a settlement layer enabling autonomous systems to consume services without accounts, API keys, or centralized onboarding.
This alignment with the x402 architecture makes AgentLISA one of the first security tools designed specifically for machine-driven development environments.
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:
Beyond one-off scans, the system supports continuous coverage through:
Each successful scan feeds back into the platform’s models, strengthening detection accuracy over time.
Within the same 24-hour window, AgentLISA also reported:
As developer usage expands, exposure to diverse codebases enhances the platform’s performance, creating a self-reinforcing improvement loop.
AgentLISA integrates seamlessly with tools developers already use daily:
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.
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: contact@agentlisa.ai
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No DigiShor journalist was involved in the writing and production of this article.
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