Every API you depend on will fail eventually. The question is whether you find out before or after your users do.
Most developers handle this one of two ways: they sign up for a paid monitoring service, or they write a janky cron job that sends an email when a curl command fails. The first option costs money every month. The second misses latency degradation, doesn’t aggregate history, and breaks when the cron server has issues.
API Monitor Pro is a third option: a Python package you run yourself, own completely, and pay for once.
The core function is scheduled health checking. You define your endpoints in a YAML configuration file, set check intervals, and the tool handles the rest:
endpoints:
- name: "User Auth API"
url: "https://api.yourdomain.com/health"
method: GET
interval_seconds: 60
timeout_seconds: 10
expected_status: 200
- name: "Payment Gateway"
url: "https://payments.yourdomain.com/ping"
method: GET
interval_seconds: 30
timeout_seconds: 5
expected_status: 200
alert_on_latency_ms: 500
Beyond simple up/down status, it tracks response time across every check and builds historical baselines. When latency exceeds your threshold or starts trending upward before it crosses the alert boundary, you get notified.
Latency trending is the one most teams find most valuable in practice. A service that responds in 80ms today but 220ms next week isn’t “down” — it won’t trigger most simple monitors. It will trigger yours if you’re tracking trends.
Multi-endpoint correlation surfaces patterns that single-endpoint monitoring misses. If three different endpoints start degrading simultaneously, that’s a different diagnosis than one endpoint spiking. The correlation view shows you the relationship.
Incident timeline generation produces a structured report for every outage: when it started, peak latency or error rate, when it resolved, and the sequence of events in between. This is useful for postmortems and for demonstrating SLA compliance to stakeholders.
Alert channels include email, Slack webhook, and a local file log. If you want SMS, the webhook integration supports most services that have a REST API.
Install from the downloaded package, add your endpoints to the config file, and start the monitor:
pip install api-monitor-pro-1.0.0.tar.gz
api-monitor --config endpoints.yaml --output-dir ./reports
The dashboard runs locally on localhost:8080 by default. Historical check data is stored in a SQLite database — no external dependencies, no cloud infrastructure required.
For production use, run it as a systemd service or Docker container so it keeps running after a server restart.
It’s not a distributed monitoring network. If your monitoring server goes down, you stop getting checks. If you need monitoring that survives infrastructure failures, you need a distributed service like Pingdom or a multi-region setup you manage yourself.
For teams running their own infrastructure and wanting full ownership of monitoring data without a monthly fee, API Monitor Pro is a complete solution.
API Monitor Pro is a one-time purchase.
Includes full Python source code, CLI, dashboard interface, and documentation.