Your AI agent is reactive. Someone triggers it, it does its thing, it stops. But the best agents do not wait to be asked. They run on a schedule.
A research agent that checks competitors every morning. A monitoring agent that pings your API every 5 minutes. A reporting agent that summarizes your week every Friday at 6pm. These agents need a clock, not a prompt.
The ugly part of agent scheduling
Adding scheduling to an agent usually means choosing between awkward options. You can set up a cron job on your server, but then you need a server. You can wire up queues and workers, but now you are managing infrastructure instead of building your agent. You can bolt on platform cron, but visibility is often thin when something breaks.
The result is predictable: your agent works in demos, then stalls when it needs reliable recurring execution in production.
What CronAPI changes
CronAPI makes scheduling a non-problem. You send one API request with a cron expression and a destination URL. CronAPI handles the schedule and gives you a dashboard to inspect every run.
curl -X POST https://app.cronapi.dev/api/v1/crons -H "Authorization: Bearer cr_your_key" -H "Content-Type: application/json" -d '{"cron": "0 9 * * *", "url": "https://your.app/agent/run"}'One call. Your agent now runs every day at 9am. You can see every execution in the dashboard: when it fired, what the response was, and how long it took. If it fails, you have run history instead of guesswork.
The best agents are not only smart. They are dependable.
No Redis. No worker fleet. No custom scheduler. Your agent gets a heartbeat and you get operational visibility.
Start here
Give your agent a schedule.
Create the cron in one API call, then inspect the runs in the dashboard.