Monitoring & Analytics
JetPero gives you real-time visibility into your API activity across all projects, providers, and endpoints — with beautiful charts and actionable insights.
🔍 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
🛠️ 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
💡 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)
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