Argus is an adversarial AI security oracle for token contracts. Three autonomous AI agents from different model families (DeepSeek, Claude, and a custom deterministic rule engine) independently analyze every submitted contract. Each agent stakes stablecoins from its own wallet on its verdict. If two agents reach consensus and one dissents, the dissenter pays the treasury. The final verdict (SAFE, RISKY, or SCAM) is written immutably onchain via the ArgusOracle contract.
Every scan touches a full stack of onchain primitives:
Live on Arc testnet across four surfaces (argusarc.dev, OKX AI Marketplace, Telegram bot, public API), Argus is not a static scanner checking a database of known exploits. It is three competing intelligences with cryptoeconomic skin in the game. Stablecoin-native economics mean users pay, agents stake, and the treasury accumulates in one currency. Agents lose money when wrong, earn reputation when right. This adversarial structure creates accountability no single-model audit can replicate.
A trader pastes a token address before buying. Three AI agents independently analyze the contract for unlimited minting, honeypot mechanics, proxy upgrade risks, whale concentration, and known scam signatures. Consensus verdict is delivered in seconds with a per-agent reasoning breakdown. $0.01 per scan via Gateway x402. No wallet connection needed; Dev-Controlled Wallets onboard instantly.
Users add tokens they hold to Argus Patrol. The agents re-scan every 30 minutes, monitoring for contract upgrades, liquidity removal, ownership transfers, and newly detected scam patterns. If a previously safe token's risk profile changes, the user is alerted immediately. Continuous protection without constant manual checking.
Builders scan their own contracts before deploying to mainnet. The three-agent adversarial model catches issues that single-tool audits miss: access control oversights, proxy misconfiguration, centralization risks, and economic vulnerabilities. A SAFE verdict from three independent AI models provides stronger pre-deploy confidence than any single linter or static analyzer.
Platforms can integrate Argus via API as a first-pass filter for token listings. Before a token reaches human review, Argus agents deliver a consensus verdict with evidence - reducing manual audit queues by flagging obvious scams upfront - with query provenance logged onchain via ArgusOracle for auditing and compliance.
DAOs can use Argus to evaluate tokens under consideration for treasury allocation or protocol integration, leveraging three independent AI perspectives (contract logic, tokenomics, scam detection) to provide a comprehensive risk profile. Adversarial consensus with real stakes means no single model's bias drives the outcome.
This site contains content and information, including links to other sites and resources, that was prepared by third parties ("Third Party Content") who are not affiliated with Circle or any of its affiliates (collectively "Circle"). Circle makes no representations on the accuracy, suitability, or validity of Third Party Content. As such, Circle is neither responsible nor liable for any Third Party Content, including any errors, omissions, or delays, or for any actions taken in reliance upon any Thirds Party Content. Reference to any specific company, product, service, or website of any third party does not constitute an implied or express endorsement, recommendation, favoring or validation by Circle. All content provided is for educational and informational purposes only. Circle shall not be liable for any damage or loss relating to use of, or reliance upon, the Third Party Content.