Deterministic AI liability attribution. Proves who pays when AI fails.
FaultKey (CausalLayer) is a deterministic AI liability attribution engine. It provides a signed, Bitcoin-anchored certificate proving who pays when an AI incident occurs. No LLMs, no probabilistic scoring.
FaultKey (powered by the CausalLayer engine) provides deterministic fault math for multi-party AI incidents. When an AI causes harm and three parties (vendor, deployer, user) argue over who pays, FaultKey returns a signed, Bitcoin-anchored certificate of fault allocation in under 200 ms.
Unlike LLM-based scoring which insurers and regulators reject due to non-determinism, FaultKey uses a closed-form causal scoring algorithm (graph-theoretic, version-pinned, byte-identical reproducible across runs). The signed certificate, issuer registry, and Merkle anchor log are all independently verifiable by a third party using only Node's built-in crypto — no network calls back to the vendor.
This MCP server exposes 4 tools:
submit_incident: Submit an AI incident for deterministic liability attribution.verify_certificate: Independently verify a certificate signature and Merkle integrity.get_anchor_status: Read the Bitcoin-anchored OpenTimestamps proof index.query_issuer_registry: List trusted CausalLayer issuer public keys.
- Name: FaultKey (CausalLayer)
- GitHub Repo: https://github.com/smq9sn5jck-coder/causallayer-mcp
- Homepage: https://faultkey.com
- Transport: HTTP (Streamable)
- Tags/Categories: AI Governance, Liability, RegTech, Security, Audit, Compliance, Cloudflare Workers
- Install Command:
npx -y causallayer-mcp - Demo URL:
https://mcp.faultkey.com/mcp