Atatus API Analytics

What Atatus API Analytics is

Atatus API Analytics monitors API performance in real time and helps teams examine traffic and trace slow responses. It supports REST, GraphQL, and WebSocket APIs, with mean, median, P95, and P99 latency measurements for each endpoint. Traffic analysis covers request-volume spikes, endpoint distribution, geographic usage, and peak-load behavior. Dependency views map downstream API calls and expose third-party service performance, external latency, and dependency health. Tracing can point to database queries, containers, third-party dependencies, or code regressions as sources of slowdowns.

Basic capture automatically tracks API performance, error rates, request volumes, payload sizes, and downstream dependencies. Backend instrumentation uses Atatus SDKs or OpenTelemetry; full capabilities require the analytics=true and logBody=true settings. Customizable dashboards and smart alert thresholds support notifications through Slack and PagerDuty. Integration with Atatus APM correlates API requests with backend transactions and application slowdowns, and Kong Gateway is a supported integration. Atatus offers on-premises deployment so traffic analytics data can stay in the customer environment. Pricing is on request, based on infrastructure size, data volume, and monitoring needs; a 14-day trial is available without a credit card.

Who it suits

Atatus API Analytics suits teams that need real-time visibility into API latency, traffic, and downstream dependencies across REST, GraphQL, or WebSocket services. It is also relevant to organizations that want API data kept in their environment through on-premises deployment.

Limits

The trial lasts 14 days. Basic API analytics capture is automatic, while full capabilities require analytics=true and logBody=true settings.

Getting started

1. Visit the Atatus API Analytics website.
2. Start the 14-day free trial; no credit card is needed.
3. Choose SDK or OpenTelemetry backend instrumentation.
4. Add the required analytics=true and logBody=true settings for full capabilities.
5. Configure dashboards, alert thresholds, and Slack or PagerDuty notifications as needed.

Verdict

Choose Atatus API Analytics if your team needs endpoint-level latency and traffic analysis, dependency visibility, and tracing for API slowdowns. Consider another option if you need published pricing or want full capture without configuring the required settings.