Canary

Automated Monitoring

for Payment Processing

Canary Observability proactively watches your processing for anomalies and regressions, alerting you when something is out of the ordinary.

Monitoring

Alert Yourself
to Anomalies

Keep an eye on your key metrics and watch for dips and drama. When something looks off, Canary creates an incident for you to review and remedy.

Approval Rate

Transaction Count

Chargeback Rate

Observability Alerts in the Pagos Dashboard

Zero Configuration

Works Right Out of the Box

Alert Metrics in the Pagos Dashboard.

Canary uses the Pagos team's expertise to configure your alerts—no setup from you required. Once enabled, machine-learning models learn the trends of your normal processing and let you know when something goes wrong.

Segments

Segmented for Success

A list of monitored segments in the Pagos dashboard.

While your processing as a whole may look on track, an isolated segment (e.g. a single card brand from a single country) may be failing, leading to poor customer experiences. Canary monitors specific customer segments to find the anomalies a human may miss.

Use Cases

Monitoring Mastery

Take your payments sophistication to the next level with automated observability.

Avoid Release Regressions

Trace when a code change to your site may have impacted your processing.

Vendor Accountability

Gain better awareness of when a processor struggled and how it impacted your processing.

Customer Satisfaction

Pagos has seen issues where errantly declined transactions for small segments of customers went undetected for weeks.

Investigate with
Data Visualizations

Canary Observability is seamlessly integrated with Peacock Visualizations. When you discover an anomaly, use the power of data to dig deeper and discover the core issue.

Pagos Dashboard showing an approval rate chart

Never Miss an Outage or Performance Degradation

Connect your processors with no-code and perform daily health checks of your processing.