DeepShield is an agentic deepfake and scam defense platform designed to help users and AI agents analyze suspicious calls and documents. The project combines forensic analysis with x402 micropayments on Algorand Testnet, enabling protected security APIs to be accessed through HTTP 402 payment negotiation. The goal is to provide explainable risk analysis, evidence hashing, and verifiable on-chain transaction receipts through the LoRA Algorand Testnet Explorer.