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In the crowded field of sentiment analysis APIs, many developers still rely on outdated, lexicon-based tools that struggle with real-world language. These legacy systems often misclassify colloquial expressions, slang, sarcasm, and idioms—leading to inaccurate insights in applications like social media monitoring, customer feedback aggregation, live chat analysis, and review processing. Mood Metrics stands apart by delivering context-aware, nuanced sentiment analysis  designe

Hey devs! 👋 We're super excited to roll out a brand-new optional feature: client-side encryption for text submissions . This means you can now protect sensitive or PII-heavy content (like customer reviews, support chats, or feedback forms) before it even hits our servers. Why This is a Game-Changer for Privacy If you're dealing with real user data, privacy is huge. With encrypted submissions: Raw text  never travels in plaintext . You stay compliant (GDPR, CCPA, etc.) withou

Hey devs! 👋 We're thrilled to announce that Mood Metrics API just landed on Zapier — making it even easier to weave real-time sentiment analysis into your favorite apps and workflows. No more custom code for every integration; just point, click, and let the emotions flow. If you've been waiting for a seamless way to connect sentiment insights to tools like Airtable, Slack, Google Sheets, or hundreds of others, this is for you. Why Zapier + Mood Metrics is a Game-Changer Zapi

Sentiment analysis is super useful for apps that need to gauge user emotions, keep an eye on brand vibe, or dig into customer feedback. The tricky part? Finding something accurate that doesn’t require a ton of setup. That’s why we built Mood Metrics API — fast, straightforward sentiment tracking that just works. In this quick post, I’ll show you what it can do today, tease what’s coming next, and (most importantly) hear what you think we should build. Why You'll Love This AP