Heartpingr
Observability made easy for API and AI Wrapper Developers
Heartpingr is a lightweight event tracking and usage monitoring tool built for developers. It captures and counts key actions - like API calls, token usage, or AI agent events - via simple heartbeat pings. Ideal for solo devs and indie toolmakers who want fast, code-first insights without bulky dashboards or vendor lock-in.
Features
- Simple Heartbeat Integration: Send a quick POST request to monitor uptime, events, or usage.
- Real-Time Dashboards: View live status, event counts, and recent activity.
- Granular Time Tracking: Track events by the minute, hour, or day, month, and year.
- Failure Alerts: Get notified when usage exceeds your thresholds.
- Lightweight & Fast: No SDKs or bloat - just POST and go.
- Custom Event Types: Monitor uptime, token usage, cron jobs, or anything else.
- Private Ping URLs: Unique endpoints per event or service.
- Historical Logs: View past heartbeat and usage history.
Use Cases
- Monitor request counts to an endpoint to detect spikes in traffic and trigger alerts or throttling.
- Track token usage and short-circuit service logic if a daily usage threshold is exceeded, to stay within your AI provider’s usage limits and prevent surprise charges.
- Count outbound calls to a third-party API and disable or delay usage if limits are hit to avoid unexpected cloud provider charges.
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Comments
This idea came into existence because we manage several different SaaS and API offerings across multiple platforms. Each service has its own usage patterns, rate limits, and monitoring needs. We needed a lightweight, unified way to track key metrics - like request counts, token usage, and uptime - across all these services without adding heavy dependencies or complex instrumentation. This drove us to build a simple, centralized heartbeat and usage monitoring tool that works seamlessly with any API or SaaS product, enabling proactive alerts and better cost control. With one dashboard, we can see if any of our services needs our attention that day.
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Comments
This idea came into existence because we manage several different SaaS and API offerings across multiple platforms. Each service has its own usage patterns, rate limits, and monitoring needs. We needed a lightweight, unified way to track key metrics - like request counts, token usage, and uptime - across all these services without adding heavy dependencies or complex instrumentation. This drove us to build a simple, centralized heartbeat and usage monitoring tool that works seamlessly with any API or SaaS product, enabling proactive alerts and better cost control. With one dashboard, we can see if any of our services needs our attention that day.
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