Monitor AI products with clarity

Professional observability for every AI call in your application.

ObservIQ helps teams understand how their AI features behave in production: what models are used, how much they cost, where latency appears, and whether requests are succeeding.

Live dashboard preview

Usage, quality, and cost in one view

Live

Total calls

24,918

Avg latency

612ms

Success rate

99.1%

Total cost

$42.83

chat-completions$0.0048
support-summary$0.0016
invoice-parser$0.0061

AI request tracing

Model and feature analytics

Cost and latency monitoring

Daily usage trends

How to use it

From API key to production insight.

ObservIQ is built for teams shipping AI-backed features. Add the SDK where calls happen, then use the dashboard to review the operational picture without digging through logs.

1

Create a team

Sign up once, copy your API key, and keep it with your application secrets.

2

Send traces

Use the ObservIQ SDK around your AI calls to capture latency, tokens, cost, status, model, and feature names.

3

Monitor the dashboard

Open the dashboard to review usage trends, model cost, feature activity, reliability, and recent traces.

SDK usage pattern
client = ObservIQ(api_key="oiq_...")

with client.trace(model="gpt-4o-mini", feature_name="support-summary"):
    response = call_your_ai_model()