Magneta Finance has deployed a production-ready service that allows AI agents to purchase smart contract risk reports on a per-call basis, leveraging the x402 protocol for seamless USDC micropayments. The service, now live at x402.magneta.finance on Base mainnet, charges exactly $0.01 per successful analysis, bypassing traditional subscription models that often burden autonomous agents with complex billing infrastructure. This release marks a significant step toward machine-to-machine economic interactions, where agents can independently verify contract safety before executing transactions.

Deterministic Analysis Without LLMs

Unlike many AI-driven security tools that rely on probabilistic large language models, Magneta’s backend uses a deterministic analysis pipeline. The core function analyzeContract(chainId, address) aggregates data from public sources including RPC endpoints, Blockscout, Sourcify, and the local aderyn binary. This approach ensures that the risk score is reproducible and free from the hallucination risks inherent in LLM-based auditing. The system generates a score from 0 to 100, where higher values indicate greater risk, based on specific criteria such as unverified source code (+25 points), the presence of proxy patterns (+15 points), and risky selectors like mint or blacklist functions.

Dual Interfaces for HTTP and MCP

The service exposes two primary paid surfaces: a standard HTTP GET endpoint and a Model Context Protocol (MCP) tool. The HTTP route is GET /v1/risk/:chainId/:address, while the MCP interface allows agents to call the tool contract_risk_summary(chainId, address). Both interfaces settle payments only upon successful 200 responses; errors such as unsupported chains or analysis failures trigger a 402 Payment Required challenge or an error status without charging the buyer. This fail-safe mechanism ensures agents do not waste capital on malformed requests or upstream data failures, a critical feature for budget-constrained autonomous systems.

Agent Integration and Payment Flow

Developers can integrate this service using the @magnetafinance/contract-risk client package, which wraps the x402 payment flow in a typed interface compatible with LangChain.js, the Vercel AI SDK, and OpenAI/Anthropic function calling. For ElizaOS users, a dedicated plugin adds actions for both free quick flags and paid full reports. The payment network supports USDC on Base (eip155:8453) via the Coinbase CDP facilitator, with experimental support for Solana if the SOLANA_PAY_TO environment variable is configured. Agents require only USDC on Base to pay, eliminating the need for ETH gas tokens in the primary workflow.

Key Takeaways

  • Per-Call Pricing: Agents pay $0.01 per successful risk report, with no upfront costs or subscriptions.
  • Deterministic Engine: Analysis uses public data and static code analysis (aderyn), not LLMs, ensuring reproducibility.
  • Multi-Chain Support: Currently supports Base, Ethereum, Arbitrum One, and 15 other chains, with specific heuristics for each.
  • MCP Native: Built-in support for Model Context Protocol allows seamless integration with modern AI agent frameworks.

The Bottom Line

This is the kind of infrastructure we’ve been waiting for: agents that can buy their own security audits without human intervention. By stripping away LLM ambiguity and using x402 for frictionless payments, Magneta is proving that machine-to-machine economies can handle serious financial infrastructure tasks. Note: The service is currently live on Base mainnet, with testnet support for Base Sepolia, Sepolia, OP Sepolia, and Arbitrum Sepolia. Users should note that zkSync Era is explicitly excluded due to bytecode incompatibilities with the current heuristic engine.