What Is the Consensus Score?
The AI Consensus Score measures the degree of agreement between multiple independent AI models on a specific factual claim.
When you ask a question, NoParrot sends it to four AI models simultaneously. Each response is broken down into individual claims, which are then cross-referenced across all models. The result: a clear, color-coded confidence level for every piece of information.
Three Confidence Levels
Every claim in the synthesized answer is tagged with a confidence level based on cross-model agreement.
3–4 models agree on this claim. High confidence — independently corroborated across multiple AI systems.
1–2 models mention this claim. Needs verification — not enough independent sources to confirm.
Models actively disagree on this claim. Conflicting information detected across providers.
How It's Calculated
A four-step algorithmic pipeline — no AI opinion involved in the scoring.
Claim Extraction
Each model's response is broken into atomic factual claims — individual statements that can be independently verified.
Semantic Matching
Claims are converted to embeddings and compared using cosine similarity. Matching claims are grouped into clusters — no AI judgment involved.
Contradiction Detection
Claim pairs that are semantically similar but potentially conflicting are checked for actual contradictions.
Agreement Scoring
Pure algorithmic logic: count agreeing models, check for contradictions, assign a confidence level. No LLM in the loop.
Why Algorithmic Scoring Matters
We don't ask an AI if an AI is right. We use mathematical comparison across independent sources.
Many "AI verification" tools simply ask another AI to judge the first one. That's circular reasoning. NoParrot's consensus score uses embedding-based cosine similarity and programmatic logic — deterministic, reproducible, and free from the same biases that cause hallucinations in the first place.
The result is a confidence signal you can actually trust, because it's grounded in mathematical agreement, not AI opinion.
See consensus in action
Ask any factual question and watch the consensus score reveal where AI models agree — and where they don't.
Try it now →