LibraryFinance, legal and compliance
shadow-mentor
Chain and verify cryptographic evidence for AI-assisted credit decisions
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- Updated Jul 10, 2026
MIT
Chain and verify cryptographic evidence for AI-assisted credit decisions
Shadow signs each credit decision with Ed25519 and chains attestations with SHA-256 so a later verifier can detect silent changes to the verdict, reason codes, model manifest, or committed inputs and outputs. The verdict engine uses deterministic rules, while LLM personas provide advisory rationale that cannot alter the decision. The project sends no telemetry and explicitly remains pre-1.0 rather than a compliance product. It is a research layer for lenders building an auditable decision narrative.
Resource types
Use cases
Runtime
Query Yahoo Finance data from server code, the CLI, or agent tools.
Meter usage and bill subscription, consumption, or hybrid pricing models through APIs.
Protocols & integrations
Capabilities
Public GitHub facts last synced Jul 10, 2026.
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