Using ChainGPT’s Smart Contract Auditor Engine, ProofScan transformed their user-facing security analysis—delivering fast, understandable, and evidence-backed risk insights for everyday Web3 users.
ProofScan rapidly enhanced its platform’s accessibility, reducing complex smart contract and liquidity risk analysis time to under 2 seconds, all while unlocking a new standard for evidence-first, AI-powered security.
Overview
ProofScan, an evidence-first Web3 security and on-chain forensics platform, set out to democratize smart contract investigation for Web3 traders, DeFi participants, token holders, and community members across Ethereum and Base. The company’s mission centers on turning obscure blockchain security signals into clear, actionable, and verifiable risk evidence—even for those without a Solidity or technical background.
Despite robust backend heuristics for investigating contracts and tokens, ProofScan faced a challenge familiar to most Web3 platforms: bridging the gap between sophisticated, high-volume security findings and easy-to-understand, actionable intelligence for every kind of user.
By strategically integrating ChainGPT’s Web3-native AI—specifically, the Smart Contract Auditor Engine and Web3 AI Chatbot—ProofScan transformed its ability to deliver rapid, accurate, and “explainable” security verdicts. Within just 2–3 weeks, the platform achieved unprecedented efficiency gains and boosted the clarity of risk communications, setting a new standard for consumer-focused on-chain security.
Key Metrics & Results at a Glance
- Security analysis time slashed to under 2 seconds
- Automated, AI-powered vulnerability detection and explanation integrated into both the web app and Telegram Bot
- Accessible ELI5-style (Explain Like I’m 5) risk explanations enhance user understanding and engagement
- Scalable integration: serving active early adopters across Ethereum and Base networks
- Seamless workflow merge of AI analysis and on-chain evidence, setting the foundation for rapid product iteration
Challenge: Technical Security Signals Misaligned with Everyday User Needs
Before the ChainGPT integration, ProofScan’s platform could ingest contract data, check for privilege flags, proxy patterns, and liquidity risks—but the synthesis and explanation of these findings often remained highly technical:
- Complexity Barrier: Non-technical users found it daunting to interpret raw contract properties, risk flags, and upgradeability structures.
- Slow Workflows: Detailed, readable vulnerability reports required significant manual input and review.
- User Trust & Risk: Without clear, evidence-backed explanations, users risked missing critical vulnerabilities or acting on incomplete information.
- Accessibility Gap: Advanced security tools existed, but their benefits were locked behind technical language and steep learning curves.
Solution: ChainGPT’s Smart Contract Auditor & Web3 AI Chatbot Integration
ProofScan integrated ChainGPT’s Smart Contract Auditor Engine to analyze verified smart contract source code in real-time, leveraging neural AI to identify vulnerabilities, privilege risks, and suspicious patterns.
Key capabilities unlocked:
- One-click, AI-powered audit: Every contract queried through ProofScan is processed by ChainGPT, instantly surfacing vulnerabilities and risk factors explained in plain language.
- Contextual Evidence Linking: ChainGPT’s ELI5 output is mapped to actual on-chain evidence and heuristics provided by ProofScan, so every finding is both intelligible and verifiable.
- Conversational Security Q&A: The @prOOfscanBot Telegram bot embeds ChainGPT’s conversational AI, letting users ask “what does this risk mean?” and receive user-friendly answers instantly—no technical expertise needed.
Results: Near-Instant, Evidence-Backed Security Reports for All
With ChainGPT in the workflow, ProofScan:
- Reduced security analysis time to under 2 seconds—accelerating the investigation and response loop for new tokens, protocols, and contracts.
- Enhanced clarity and user trust: Even users with no security background can understand key risks, attack vectors, and contract peculiarities.
- Automated reporting at scale: Combining AI analysis with on-chain evidence, ProofScan now delivers consistent, reliable, and actionable verdicts across its web platform and Telegram bot.
- Unlocked rapid product iteration: Freed from the need to manually interpret analysis or develop a proprietary LLM, ProofScan’s team can focus on scaling unique features around liquidity insight, heuristic evidence, and multi-chain support.
Why ChainGPT?
- Web3-native intelligence: ChainGPT’s models are built for blockchain, offering up-to-date and domain-accurate vulnerability analysis.
- Rapid, API-first integration: The integration was completed in less than 3 weeks, without compromising security or user experience.
- Cost-effective scaling: ProofScan avoided the need to develop, host, and train its own AI interpretation layer—maximizing ROI.
- Proven impact: ChainGPT’s track record in Web3 contract intelligence, coupled with responsive support, ensured the project hit its objectives fast.
ProofScan Testimonial
“ChainGPT’s AI analysis engine lets us turn obscure, technical contract security signals into rapid, evidence-backed verdicts anyone can understand. We’re able to deliver clear, actionable outputs to our users—connecting intelligent AI insight with hard on-chain proof.”
— @miami0x, Executive Team
Future Outlook
ProofScan aims to expand its evidence-first security stack across additional blockchains and further refine its AI-driven investigation workflows, making Web3 safety intuitive and credible for millions of users. The partnership with ChainGPT will underpin new product features and community-facing initiatives as ProofScan grows its mission.
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About ChainGPT
ChainGPT provides specialized AI-powered APIs and SDKs tailored for Web3, simplifying blockchain integrations, accelerating innovation, and enabling real-time insights.
