Gloomer API extracts sentiment, intent, and behavioral signals from large-scale text, event, and interaction data in real time.
Signals processed monthly
Sentiment classification accuracy
Median analysis latency
Languages supported
Designed for analysts, platforms, and automated systems that require deep understanding of human signals.
Fine-grained emotional scoring with polarity, confidence, and volatility indicators.
Identifies purchasing, churn, risk, and behavioral intent across unstructured inputs.
Time-series aggregation for emerging narratives and shifting public perception.
Aggregated behavioral signals derived from live data sources.
| Signal ID | Category | Sentiment | Confidence | Status |
|---|---|---|---|---|
| GL-SG-8821 | Consumer Feedback | Negative | 0.92 | Active |
| GL-SG-4419 | Market Reaction | Neutral | 0.87 | Active |
| GL-SG-7733 | Brand Momentum | Positive | 0.95 | Trending |
Submit unstructured content for real-time signal extraction.
Built with transparency, explainability, and responsible AI principles.
Token-level attribution for sentiment and intent predictions.
Continuous evaluation for demographic and linguistic bias.
Zero data retention options and strict access controls.