AI Nazar vs API Analytics

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.

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.