Two Realms. One Truth.
Next-generation AI fact-checking engine. Cross-referencing public web intelligence, NLI stance classification, multi-source consensus scoring, and token explainability.
How Buzz AI Verifies Claims
Explore the multi-tier inspection pipeline engineered for institutional fact-checking accuracy.
Multi-Format Content Scraping
Accepts raw text or website URLs. Trafilatura extracts main article body text while stripping boilerplate HTML, navigation, and advertisement noise.
Engineered for Precision & Speed
Every layer of Buzz is built for institutional verification performance and forensic transparency.
DistilBERT Transformer Model
Fine-tuned transformer neural network exported to ONNX Runtime format. Evaluates contextual semantic patterns across headlines and full text bodies in under 50ms.
spaCy Stylometry
Analyzes part-of-speech distributions, clickbait syntax, sentence sentiment polarization, and lexical density.
TF-IDF N-Gram Baseline
Statistical term frequency analysis cross-references unigrams and bigrams against verified datasets.
SHA-256 Redis Caching & SlowAPI Limits
Every submission is hashed with SHA-256 for instant Redis cache lookups, preventing redundant GPU inference. SlowAPI protects endpoints from automated abuse.
Examine Forensic Evidence
Select an investigative sample below to inspect real-time token attribution and credibility scoring.
“International research teams publish peer-reviewed findings confirming breakthroughs in room-temperature energy storage materials.”