Real‑time sentiment analysis with positive, negative, and neutral labels plus confidence scores for each input.

Feed ID association to group texts by source or stream and track sentiment over time per feed.

Rolling feed statistics including average sentiment, variance, and sample counts for longitudinal monitoring.

Trend detection to indicate directionality of sentiment (improving, worsening, or stable) within a feed.

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

Webhook callbacks for asynchronous processing and event notifications on anomalies or threshold breaches.

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

Configurable sensitivity for sentiment thresholds and anomaly detection parameters.

Idempotent request keys to safely retry submissions without double counting.

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

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

Privacy‑aware processing with optional text redaction and PII scrubbing before storage.

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