Lenz
Lenz is an audit-grade fact-checking API for AI-drafted text, built for teams that need to check factual claims before customers or clients see them. It reads a draft, memo, model answer, or page of copy, extracts the factual statements that can be checked against independent public sources, and returns a result for each. Its workflow follows four API primitives: extract verifiable claims, assess them in bulk with a fast multi-model verdict, escalate uncertain statements to a full verification, and ask follow-up questions grounded in the verification. Full verification runs through a structured five-stage pipeline of framing, research, debate, panel review, and conclusion. Lenz searches public sources, scores evidence for authority, relevance, and recency, has models from multiple vendors argue both sides of a claim, and returns a verdict, confidence score, cited sources, and reasoning trace that users can audit.
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Parafact
Parafact is an AI-powered platform that enables users to fact-check any human or AI-generated text in real time using reliable sources. By simply copying and pasting the text, Parafact instantly analyzes it, providing citations for each verified claim. This tool is ideal for various types of writing, including research papers, articles, blog posts, and social media content. Parafact leverages state-of-the-art AI models to ensure high accuracy and reliability in its fact-checking process. Additionally, it offers a developer-friendly API, allowing seamless integration of its fact-checking functionality into other applications. The platform is fully automated, saving users significant time and effort compared to manual fact-checking methods. Whether you're an individual fact checker or a large organization seeking reliable verification at scale, we have a plan tailored to your needs.
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Google Fact Check Explorer
The Fact Check Tools consist of two tools: Fact Check Explorer and Fact Check Markup Tool. Both tools aim to facilitate the work of fact-checkers, journalists, and researchers. Google does not endorse or create any of these fact-checks. If you disagree with one, please contact the website owner that published it.
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ClaimBuster
ClaimBuster is the umbrella under which all fact-checking related projects for the IDIR Lab fall under. It started as an effort to create an AI model that could automatically detect claims worth checking. Since then it has steadily made progress towards the holy grail of automated fact-checking. ClaimBuster is mainly used by journalists, but in reality, anyone interested in tackling misinformation can make use of it. Our API provides easy access to our models and is accessible by just registering for a free API key. ClaimBuster is made possible by human data-labeling contributions. Feel free to sign up for an account and begin labeling to help us deliver better models. We have also open-sourced our machine learning model training code, so if you are a savvy AI engineer feel free to make contributions there as well. Our claim-spotting model re-tweets tweets it thinks may need fact-checking.
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