API Analytics vs Atatus API Analytics
API Analytics
apianalytics.devAtatus API Analytics
atatus.comSide by side
| Figure | API Analytics | Atatus API Analytics |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | Yes | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · API Analytics Software | 8.8 (#1) | 7.9 (#6) |
| Purpose | API Analytics provides monitoring and analytics for API frameworks. | Atatus API Analytics monitors, analyzes, and optimizes API performance in real time. |
Plans
Atatus API Analytics
- Custom PricingPriced on request
- Custom PricingPriced on request
In their own words
API Analytics
API Analytics monitors API activity and gives teams usage and performance data through a real-time dashboard, active monitoring, and error notifications. Setup examples cover frameworks including FastAPI, Flask, Django, Express, Gin, Rails, and ASP.NET Core. Its middleware can record request method, endpoint, user agent, timestamp, response status and time, API hostname, and framework identifier. IP collection is configurable: addresses can be stored, discarded after use, or never accessed or collected. An optional custom user ID can be attached to requests and used to filter information from the data API, which returns raw request records with filters such as date, hostname, status, location, and user ID. The service is available on the web and through an API, and it can be self-hosted. Its free plan costs nothing and supports up to 1 million stored requests per user; new requests replace older ones after the limit. The FAQ advises against production self-hosting while the project remains under development and testing.
Atatus API Analytics
Atatus API Analytics monitors and analyzes REST, GraphQL, and WebSocket API performance in real time. It records endpoint latency at mean, median, P95, and P99 levels, and examines traffic spikes, geographic usage, endpoint distribution, and peak-load behavior. Dependency views map downstream calls and show third-party performance, external latency, and dependency health. Tracing can connect slowdowns to database queries, containers, external services, or code regressions. Automatic capture covers performance, errors, request volumes, payload sizes, and dependencies. Backend instrumentation uses Atatus SDKs or OpenTelemetry; full capabilities require analytics=true and logBody=true settings. Dashboards provide customizable views and alert thresholds with email, Slack, PagerDuty, and webhook channels. API Analytics integrates with Atatus APM and lists Kong Gateway support. Deployment options include web, API, and self-hosted environments, with on-premises traffic analytics. Pricing is on request, with a 14-day trial and no credit card required.