Pulse

Metrics that move, not reports that sit.

Real-time support operations dashboard with historical data, anomaly detection, and volume forecasting. The single pane of glass for your support operation.

Everything you need

Built for production. Designed for simplicity.

Real-Time Dashboard

Live metrics including response times, resolution rates, CSAT, and SLA compliance.

Volume Forecasting

Predict ticket volume using historical patterns and seasonal trends.

Anomaly Detection

Automatic alerts when metrics deviate from normal patterns.

Custom Reports

Build custom views with flexible grouping by agent, team, topic, and channel.

Historical Data

Track metrics over time with configurable date ranges and comparison periods.

Provider Agnostic

Works with any data source through standardised input schemas.

Simple to use

Query support metrics and trends.

Full API Reference
pulse_example.py
import httpx

resp = httpx.post("http://localhost:8005/pulse/query", json={
    "metric": "response_time",
    "period": "7d",
    "group_by": "team",
})

Endpoints

Clean REST APIs. No SDK required.

POST
/pulse/ingest
Ingest metric data
POST
/pulse/query
Query metrics
POST
/pulse/forecast
Forecast volume
GET
/health
Service health check

Learn more about Pulse

Explore how this AI capability can transform your support operations.