Mood Metrics API
Welcome
The Mood Metrics API extracts sentiment and intent from text, returning categorized results with confidence scores. A specialized financial mode handles market-focused content, with pattern detection and anomaly tracking coming soon.
Features
-
Sentiment & intent analysis – categorized results with confidence scores
-
Financial mode – tuned for earnings reports, analyst commentary, and market news (domain=FINANCIAL_NEWS)
-
Privacy-first – async processing with encryption at rest; optional client-side encryption via public-key cryptography
-
Language-agnostic – supports any UTF-8 text
-
High-throughput – horizontally scalable for social feeds, reviews, and support queues
Roadmap
Next
-
Webhook callbacks – async notifications when processing completes
-
Rolling feed stats – average sentiment, variance, and sample counts for longitudinal monitoring
Later
-
Cursor-based pagination – browse feed history and results at scale
-
Export to JSON/CSV – feed summaries ready for BI and reporting pipelines
-
Time-window queries – compute metrics over custom periods (hour/day/week)
-
Anomaly detection – flag sudden sentiment spikes or irregular tone shifts per feed
-
Configurable sensitivity – adjust sentiment thresholds and anomaly parameters