AI Nazar vs Atatus API Analytics
AI Nazar
ainazar.comAtatus API Analytics
atatus.comSide by side
| Figure | AI Nazar | Atatus API Analytics |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 2 |
| Spec score · API Analytics Software | 8.1 (#4) | 7.9 (#6) |
| Purpose | AI Nazar provides observability for large language model API calls, including a real-time dashboard for cost, latency, tokens, and errors. | Atatus API Analytics monitors, analyzes, and optimizes API performance in real time. |
| Support | The privacy policy directs privacy inquiries to [email protected] and says it aims to respond within five business days. | Atatus includes email support in subscription plans and priority support for enterprise plans. |
Plans
Atatus API Analytics
- Custom PricingPriced on request
- Custom PricingPriced on request
In their own words
AI Nazar
AI Nazar provides observability for large language model API calls, with a dashboard for cost, latency, token counts, and errors. It supports OpenAI, Anthropic, and Gemini through wrappers around their official clients. The dashboard reports cost by request and model, tracks latency and errors, flags spend anomalies, and compares providers. Users can inspect prompts, responses, token counts, latency, and cost, then filter requests by model, provider, or status. Its TypeScript-first SDK offers a drop-in OpenAI client wrapper with streaming, function calling, and tool use. AI Nazar says telemetry is sent asynchronously without adding latency to API calls. The SDK and dashboard are open source under the MIT license. It can be used as a hosted service or self-hosted with SQLite, Postgres, or Postbase storage. By default, the SDK sends request metadata; prompt and response text are sent only when content logging is enabled. Hosted free-tier event data is retained for 30 days on a rolling basis. Dashboard usage and cost figures are estimates, not authoritative billing records.
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.