> ## Documentation Index
> Fetch the complete documentation index at: https://docs.still200.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Quickstart
> Create your first Still200 monitor.
Choose the path that matches the workload you want to monitor.
Return JSON containing a service name. The endpoint must be publicly reachable.
```python theme={null}
from fastapi import FastAPI
app = FastAPI()
@app.get("/health")
async def health():
return {"service_name": "billing-api"}
```
```bash theme={null}
curl -X POST https://api.still200.com/monitors/validate \
-H 'Content-Type: application/json' \
-d '{"url":"https://example.com/health"}'
```
Open the [Still200 dashboard](https://app.still200.com), add an HTTP monitor, and enter the health endpoint URL.
In the [Still200 dashboard](https://app.still200.com), add a scheduled-job monitor. Enter its cron expression, IANA timezone, grace period, and optional maximum runtime.
Copy the generated token into your job's secret store. Still200 only shows a newly generated token once.
```bash theme={null}
export STILL200_PING_TOKEN='s200_pt_your-token'
```
Send `start` before the work and `finish` only after it succeeds.
```bash theme={null}
curl --fail --request POST https://api.still200.com/jobs/ping/start \
--header "Still200-Ping-Token: $STILL200_PING_TOKEN"
./your-job
curl --fail --request POST https://api.still200.com/jobs/ping/finish \
--header "Still200-Ping-Token: $STILL200_PING_TOKEN"
```