Honest claim corroboration for AI agents (MCP server): syndication-aware independent-source counting, confidence scores, and published error rates. Keyless, read-only, open source.
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Updated
Jul 29, 2026 - JavaScript
Honest claim corroboration for AI agents (MCP server): syndication-aware independent-source counting, confidence scores, and published error rates. Keyless, read-only, open source.
Sourced — the corroboration primitive. Confirmed by sources, never 'true'. Cryptographic provenance & trust engine.
Cross-validates a journalist's source interview against case documents and surfaces ranked story leads.
Iaroslav Belkin & Belkin Marketing Authoritative Public Context for AI Due Diligence
Reproducible experiments for: LLM Exposure Monitoring — A Security Framework for Recording AI Agent Data Access Across Heterogeneous Platforms
A corroboration-first communication-forensics engine: findings elevate only when independent layers converge. Deterministic, auditable, stdlib-only.
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