> For the complete documentation index, see [llms.txt](https://docs.jetpero.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.jetpero.com/features/monitoring-and-analytics.md).

# Monitoring & Analytics

### 🔍 What You Can Track

* ✅ Total Requests
* 🚀 Requests per Provider
* 📈 Success vs Error Rates
* 📦 Payload Size & Response Time
* 🔄 Retry & Timeout Stats
* 🌍 Geo & IP Distribution
* 🔐 Auth Issues & Blocked Calls
* 📅 Historical Usage Trends

> All data is filtered **per project**, ensuring isolated analytics for each environment or client.

***

### 📈 Real-Time Dashboard

Every project has a real-time dashboard that updates automatically.

#### You’ll see:

* ✅ Top performing endpoints
* ⚠️ Error breakdown by status code (400s, 500s)
* 🧠 Usage heatmaps (per day/hour)
* 💬 Top messages (e.g., for LLM/chat apps)
* 📊 Provider call distribution

> Perfect for devs, product teams, and ops who need API clarity fast.

***

### 📆 Historical Trends

Navigate to:
**Dashboard** 

You’ll get:

* ⏳ Daily / weekly / monthly usage patterns
* 📉 Performance degradation tracking
* 🔁 Request spikes and drops

Use filters by:

* 📁 Project
* 🧩 Provider
* 📍 Endpoint
* 📅 Time range

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### 🛠️ Debug Requests with Logs

Every request is logged under **Request Logs**, where you can:

* 🔍 View request body and headers (truncated for security)
* 🕵️ See the injected provider key (hashed)
* ⚠️ Inspect errors and timeouts
* 🔁 Replay failed requests (coming soon)

> Debugging latency or failure has never been easier.

### 🔔 Custom Alerts (coming soon)

We’re working on **custom alerting**, so you can:

* 🛑 Get notified when an error rate spikes
* 📉 Be warned if request volume drops
* 💬 Slack / Email / Webhook alerts

Stay ahead of issues before your users notice them.

***

### 🧠 Developer-Focused Insights

JetPero is built for devs, so our analytics is not just eye-candy:

* 🤖 Breakdown by SDK / language
* 🧪 Experiment tracking (coming soon)
* 🧵 Traces between retries & fallbacks
* 🚥 Rate limit vs actual traffic visualizations

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### 💡 Use Cases

* ✅ Optimize API usage for cost and performance
* 🚨 Quickly identify provider outages
* 🔎 Fine-tune LLM prompts using most common queries
* 🔐 Detect security issues early (bad tokens, repeated failures)