Your cron monitor tells you a job failed at 3am.
Entropic tells you why.

Four steps.
No SDK, no daemon.

Install is a URL.
That's the whole integration.

No SDK. No agent daemon. No YAML. If your job finishes, curl fires. If your job fails (non-zero exit), curl doesn't run and Entropic notices. The grace period covers long runs. The ping URL is unguessable and per-monitor.

The alert you get
from everybody else.

Cronitor, Healthchecks, and Dead Man's Snitch all send the same alert: Monitor "report-generator" missed its 3:00 UTC ping. Then you open a terminal and start the investigation yourself. The alert Entropic sends is different.

The AI monitoring tools start
at twenty thousand a year.

If any of these
sound familiar.

Entropic is built for the person who has ever typed ssh prod at 3am to find out why a scheduled job didn't run. Usually that's one person on a small team — the one who set up the cron in the first place, the one who now owns it by default.

One ping URL.
Any scheduler.

Entropic is a URL. Your job fires a ping when it completes. The mechanism for scheduling the job is entirely up to you — crontab, systemd, Kubernetes, GitHub Actions, a Python scheduler, whatever. Here's what the integration looks like across the common ones.

# crontab -e
# nightly backup at 3am; ping Entropic on success
0 3 * * * /usr/local/bin/backup.sh && curl -fsS https://entropic.run/ping/abc123

# /etc/systemd/system/backup.service
[Service]
ExecStart=/usr/local/bin/backup.sh
ExecStartPost=/usr/bin/curl -fsS https://entropic.run/ping/abc123

apiVersion: batch/v1
kind: CronJob
metadata:
  name: nightly-backup
spec:
  schedule: "0 3 * * *"
  jobTemplate:
    spec:
      template:
        spec:
          containers:
          - name: backup
            image: backup:latest
            command: ["sh", "-c"]
            args:
              - backup.sh && curl -fsS https://entropic.run/ping/abc123

# inside a scheduled script
import subprocess, urllib.request

subprocess.run(["/usr/local/bin/backup.sh"], check=True)
urllib.request.urlopen("https://entropic.run/ping/abc123", timeout=5)

// inside a scheduled Node script
await runBackup();
await fetch("https://entropic.run/ping/abc123");

# .github/workflows/nightly.yml
on:
  schedule:
    - cron: "0 3 * * *"
jobs:
  backup:
    runs-on: ubuntu-latest
    steps:
      - run: ./backup.sh
      - run: curl -fsS https://entropic.run/ping/abc123

Ping via GET or POST. Optional ?duration=N query parameter for run-time tracking. The ping URL is unguessable and per-monitor.

Three tiers. Flat rate.
No per-monitor calculator.

Pro costs what it does because the AI diagnosis has real inference cost per alert — about $0.002 per incident summary at Claude Haiku rates, plus 90 days of ping history retention. At 25 monitors firing a handful of alerts a month, the cost is small. The margin funds the work of making the diagnosis actually useful on new data, which is where almost all the engineering effort has gone. Team exists for small companies that want webhook alerts and a year of retention.

Questions worth answering.