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What is Defacta?

Defacta specializes in the verification of text produced by AI or obtained from external sources, meticulously cross-referencing this content with credible references to uncover potential issues like hallucinations, unsupported claims, fabricated citations, biases, and manipulative framing techniques. It methodically extracts key assertions from submitted materials, including URLs or AI-generated text, and then checks them against independent resources and established fact-checking databases. The detailed reports generated include findings, source metadata, risk indicators, and recommended corrective measures, all securely timestamped and hashed with SHA-256 to maintain a trustworthy audit trail. Users are granted the ability to alter the text, formulate prompts for corrections, reassess modifications, and conduct version comparisons, thereby boosting the content's accuracy. Furthermore, reports are available for export in multiple formats such as PDF, DOCX, JSON, Markdown, XLSX, and TXT, providing users with flexible options for usage. The platform supports integration through API, MCP servers, and browser extensions, positioning it as an invaluable resource for analysts, compliance teams, journalists, and enterprise AI operations where accuracy is critical. Additionally, its rich array of features ensures that users can efficiently oversee and verify the reliability of the data they manage, solidifying its role as a vital asset in maintaining content integrity.

What is ClaimBuster?

ClaimBuster acts as the central hub for all fact-checking activities within the IDIR Lab. Initially established to create an AI system that could spot claims needing verification, it has gradually evolved towards the goal of fully automated fact-checking. Although primarily used by journalists, ClaimBuster is accessible to anyone determined to tackle misinformation. Users can easily access our models via an API that requires just the creation of a free API key. The effectiveness of ClaimBuster is greatly enhanced by the involvement of individuals who label data, and we invite you to sign up and assist in this labeling process to improve our model. Moreover, we've released the training code for our machine learning model as open-source, encouraging talented AI engineers to lend their expertise. Our claim-detection model even retweets posts it finds that may need verification, further broadening its real-time application. By joining our efforts, you can significantly contribute to the ongoing fight against misinformation, making a meaningful impact in your community and beyond. Your participation not only aids in refining the model but also empowers others to be vigilant against false information.

Media

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Media

Integrations Supported

GitHub
Google Colab
X (Twitter)

Integrations Supported

GitHub
Google Colab
X (Twitter)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Defacta

Date Founded

2026

Company Location

Israel

Company Website

defacta.pro/

Company Facts

Organization Name

ClaimBuster

Date Founded

2015

Company Location

United States

Company Website

idir.uta.edu/claimbuster/

Categories and Features

Categories and Features

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