ModelTrace is a specialized protocol built on the Stellar Soroban network, designed to provide transparency, accountability, and auditability for Artificial Intelligence systems. It records a verifiable audit trail of AI model usage, parameter changes, and provenance on an immutable ledger.
As AI models become central to decision-making in finance, healthcare, and law, the "Black Box" problem poses a significant risk. ModelTrace provides a decentralized "Flight Recorder" for AI, ensuring every major decision can be audited and traced back to a specific model version and dataset.
Acts as the authoritative directory for AI models. It stores model architectures, cryptographic hashes of weights, and versioning data.
- Key Feature: Ensures that a model being called is exactly the version that was audited.
Logs the metadata of every inference request and response (anonymized).
- Key Feature: Provides an immutable timestamp and proof-of-execution for AI services.
Tracks the lineage of a model, including the datasets used for training and the fine-tuning history.
- Key Feature: Enables ethical auditing of data sources and bias tracking.
- Smart Contracts: Soroban / Rust (optimized for high-throughput event logging).
- Audit Backend: Fastify / TypeScript - Processes and indexes model events for real-time monitoring.
- Auditor Dashboard: Next.js - A sophisticated interface for AI compliance officers and developers.
// Example of recording an inference event via the ModelTrace API
const modelTrace = new ModelTraceClient(CONFIG);
await modelTrace.recordInference({
modelHash: "0x123...abc",
inputHash: "0xdef...456",
outputHash: "0x789...ghi",
timestamp: Date.now()
});cargo build --target wasm32-unknown-unknown --releasecd apps/web
pnpm install
pnpm devTo foster trust in Artificial Intelligence by providing the decentralized tools required for true governance and ethical accountability.
Bringing transparency to the AI frontier.