Amin7410/FailSafe-AI-Powered-Fact-Checking-System

FailSafe: An autonomous fact-checking framework leveraging Multi-Agent LLMs and Structured Argumentation Graphs (SAG) to verify claims with deep-web retrieval and reasoning.

25
/ 100
Experimental

FailSafe helps journalists, researchers, or anyone dealing with large amounts of text to quickly and reliably check the truthfulness of claims. You input any written text, and it processes it to identify individual statements, searches for supporting or refuting evidence from the web and trusted databases, and then provides a detailed report on the factual accuracy of each claim, complete with references. This tool is designed for anyone needing to verify information efficiently and reduce the spread of misinformation.

Use this if you regularly need to fact-check articles, reports, or social media posts and want to automate the process of evidence gathering and claim verification.

Not ideal if you need to verify claims based on highly niche, inaccessible, or proprietary data sources not available on the open web or in common knowledge bases.

fact-checking journalism research-validation content-verification misinformation-detection
No Package No Dependents
Maintenance 10 / 25
Adoption 4 / 25
Maturity 11 / 25
Community 0 / 25

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Stars

8

Forks

Language

Python

License

MIT

Last pushed

Feb 10, 2026

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/rag/Amin7410/FailSafe-AI-Powered-Fact-Checking-System"

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