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The Verafy Swarm Explorer

The Verafy Swarm Explorer: One Question, Many Models

Compare answers across many language models and let models judge models

2 min read
October 11, 2026

When you ask one chatbot a question, you get one polished paragraph and no way to tell what it left out. The Verafy Swarm Explorer asks many models at once and shows you the answers side by side.

The Swarm Explorer

Where it came from

Verafy began as a hackathon project. In December 2024 a demo called Truth Chain put model disagreement on screen, and it spread. About 4,000 people joined the community, and the project went on to a $17M capital launch and a Solana validator that peaked at 220,000 staked SOL. The Swarm Explorer is the product that came out of that demo.

How it works

  1. Many models answer. Type a statement or a question and choose how many models to ask. Each one answers on its own.
  2. Models judge models. Other models check the answers for factual accuracy and score them. You see each model's verdict and confidence, and an overall consensus.
  3. The split is the signal. Where models agree, you can be more confident. Where they split, that's usually where bias, missing context, or an outdated answer is hiding.

Recent queries with each model's verdict and confidence

Each result card shows the question, the overall verdict, a confidence level, each model's score, and a short explanation with its source. Results can be shared, saved, and starred.

On your phone too

The Swarm Explorer on mobile

What's next

The Swarm Explorer now has two siblings. The Bias Detector runs a fixed set of 565 contentious questions against any model and gives each one a report card. The Fact-Checker for Chrome checks the claims on whatever page you're reading.

Try the Swarm Explorer at swarm.verafy.ai.

RSJRex St John
Forward-Looking Statements Notice: Verafy blog articles may contain forward-looking statements regarding Verafy’s future plans, technologies, and market positioning and opinions on possible future achievements. These statements are based on current expectations, predicated on attaining future goals, forecasts, and assumptions that involve risks and uncertainties. Actual outcomes and results may differ materially from those expressed or implied in these statements due to factors such as evolving market conditions, technological challenges, regulatory developments, and other risks beyond Verafy's control. Readers are cautioned not to place undue reliance on forward-looking statements. Verafy undertakes no obligation to update or revise such opinions as a result of later or new information, future events, or otherwise.