DCL Evaluator

What it does

Can you prove what your AI agent actually decided? DCL Evaluator gives you cryptographic proof of every LLM decision — deterministic, tamper-evident, bit-for-bit reproducible. Every output is evaluated against your policy. COMMIT or NO_COMMIT. Each decision gets a SHA-256 hash, chained to the previous one. Works with Ollama, Claude, GPT-4, Grok, Gemini. 100% offline. Desktop-first.

A deterministic cryptographic audit layer for AI agents. Tamper-evident hash chain, pay-per-call in USDC via x402.

DCL Trust Oracle seals every AI agent decision into a tamper-evident chain — so when something goes wrong, you don't have to take the agent's word for it. Verify locally, in your browser, right now. A real hash chain running in your browser. Simulate an agent decision, or corrupt a hash and see verification fail. Hashes are real, computed client-side over each block's contents. Nothing here is sent anywhere — it's the same chaining logic the live server uses, running locally so you can see it break. import { DclClient } from '@fronesis-labs/dcl-sdk' ; const dcl = new DclClient(); const isValid = await dcl.verifyChain(); // Returns false if corrupted! Copy How it fits together One protocol,…from fronesislabs.com

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