VeriGhost-Clarity

This is a validation layer for checking whether LLM responses are grounded in reality or drifting into hallucination territory. You'd use it when you need to programmatically verify that generated content aligns with factual sources or known truths, essentially adding a fact-checking step to your AI pipeline. The server runs remotely via SSE transport, so you're calling out to their hosted service rather than running validation logic locally. The source doesn't detail specific operations or what validation methods it uses under the hood, but the core value is clear: catch hallucinations before they reach users. Useful for any application where accuracy matters more than speed, like medical summaries, legal research, or financial reporting.