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Real-time misinformation detection for social media posts — powered by Credexa. Credexa+ automatically fact-checks social media posts as you browse — no copying, no searching, no extra steps. Every post you scroll past is quietly analyzed in the background. Within seconds, a verdict badge appears directly in your feed showing whether the claim is Verified True, False, Misleading, or Unverifiable — along with a confidence score and a plain-English explanation of why. HOW IT WORKS Credexa+ doesn't just ask an AI what it thinks. For each post, it: • Searches live news sources for relevant recent articles • Reads the actual article content as evidence • Sends the post text and that evidence to an AI fact-checker • Returns a grounded verdict backed by real sources — not just AI opinion WHAT YOU SEE Each badge shows: • A verdict: Verified True, False, Misleading, or Unverifiable • A confidence percentage • A short explanation citing the specific evidence used • The news headlines that support the verdict • Warning flags like "missing context", "emotional language", or "out of date" CURRENT SUPPORTED PLATFORMS ✓ X / Twitter ✓ Instagram ✓ Facebook ✓ Reddit WHY INSTALL IT Misinformation spreads fast. Most people don't have time to fact-check every post they see — and bad actors count on that. Credexa+ does the checking automatically, so you always know what you're looking at before you share it, react to it, or believe it. PRIVACY Post text is sent to our secure proxy server solely to perform fact-checking. No data is stored, sold, or used for any other purpose. Your browsing activity and personal information are never collected.
Jun 10, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.