Mood Metrics API
Real-time sentiment analysis API
Freemium
- Upvotes
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- Comments
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- Impressions
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About
The Mood Metrics API is a tool designed for sentiment analysis, offering insights into the emotional tone and intent of text inputs. It provides categorized sentiment and intent results, complete with numerical confidence scores. Notably, it has a specialized mode for analyzing financial sentiment, tailored for parsing financial news, earnings reports, and other related financial documents. This API ensures privacy through asynchronous processing and data encryption, supporting client-side encryption with public-key cryptography. It is language-agnostic, working with any UTF-8 encoded text, and offers high throughput with scalable infrastructure. The API features a roadmap for future enhancements like anomaly detection, rolling feed statistics, and comprehensive export options for data analysis. These capabilities make the Mood Metrics API a powerful tool for extracting actionable sentiment insights from diverse text sources, suited for applications in social media, reviews, and financial analysis.
Problem & solution
Problem
Need to extract sentiment/intent and track text trends at scale.
Solution
API returns sentiment/intent with scores; async, encrypted, scalable ingestion.
Who it's for
Developers analyzing social, reviews, or support text.
Main features
- Sentiment & intent labels
- Confidence scores
- Financial text mode
- Async encrypted processing
- Client-side encryption option
Use cases
- Analyze support queue sentiment
- Financial news sentiment tuning
Comments
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- Robert GFeb 7, 2026
Very interesting..
