top of page

Welcome

The Mood Metrics API analyzes sentiment and intent in submitted text. It returns categorized sentiment and intent, as well as numerical confidence scores. Planned features include detection of long-term sentiment patterns and anomalies.​​

Features

  • Categorized sentiment and intent analysis with confidence scores for each input

  • Privacy‑aware processing with PII scrubbing before encrypted storage

  • Optional client-side encryption of submitted text using public-key cryptography (public key and certificate PEMs available directly from API endpoints)

  • Language-agnostic – works with any UTF-8 text.

  • High‑throughput ingestion with horizontal scaling to handle social, reviews, and support queues.

Roadmap

​Next

  • Webhook callbacks for asynchronous processing

  • Idempotent request keys to safely retry submissions without double counting

  • Rolling feed statistics including average sentiment, variance, and sample counts for longitudinal monitorin​g

​

Later

  • Cursor‑based pagination for feed history and results browsing at scale.

  • Exportable feed summaries (JSON/CSV) for downstream BI and reporting pipelines.

  • Time‑window queries (e.g., last hour/day/week) to compute metrics and trends over custom periods.

  • Anomaly detection for sudden emotional spikes or irregular tone shifts, with per‑feed anomaly flags.

  • Configurable sensitivity for sentiment thresholds and anomaly detection parameters.

bottom of page