Prezlo – Trust Scoring API for AI Agents

An API that helps AI agents determine whether to trust and follow advice from a particular expert or source. Solves the problem of AI systems reliably identifying credible information sources.

Agentic AI systems are proliferating fast, and the failure mode of agents acting on bad or hallucinated sources is already well-documented — DARPA, OpenAI, and Anthropic have all flagged source credibility as an open problem in autonomous pipelines. No clear incumbent owns this specific layer; existing solutions (Guardrails AI, Nemo Guardrails) focus on output safety, not input source evaluation. The $2k–10k/mo revenue band is plausible if sold to enterprise teams running internal agent workflows, but reaching it requires landing technical buyers who are already far enough along in agentic deployment to feel this pain acutely — a small slice of the market right now. The biggest risk is that foundation model providers bake credibility scoring directly into their own tool-calling and retrieval layers, collapsing the problem before a standalone API gains meaningful traction.