Daily
Get a warning when Lusha credits run low
An email lands before my team runs out of Lusha credits mid-campaign.
- Runs
- Daily
- Apps
- Lusha
- AI
- Not needed
- Access
- API key
Send this to your assistant
Create a ClickRuntime automation: every day at 8am, check my Lusha credit balance and email me if fewer than 100 credits are left.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
Lusha charges by credit, and a team that burns through its allowance mid-month finds out at the worst time: a rep trying to look up a hot prospect is told there are no credits left. The number sits in an admin page that few people open, so the first sign of a shortfall is a blocked workflow and a scramble to buy more or wait for the reset.
Every day, ClickRuntime calls Lusha's usage endpoint, compares what has been used with the total and with the threshold you set, and emails you if credits are running low. On a day when everything is fine, it stays silent, so the message only appears when it is worth reading.
Sales managers and operations leads who share one Lusha plan among several reps benefit most.
What you get out of it
Reps are never blocked unexpectedly
A warning a week before credits run out gives you time to top up or slow the usage. A rep stuck in front of a hot prospect with no credits loses the lead.
Spending can be planned
Knowing the rate of use over the month helps you decide whether the plan fits your team. You can upgrade on your terms rather than in a panic. That puts the budget conversation in your hands.
Misuse or waste is noticed
A sudden drop in credits may mean a large bulk run or a user looking up far more contacts than expected. Daily checks catch that within a day. Catching that early saves real money.
Budget owners stay informed
The person who pays for the plan receives the warning, not just the person who uses it. That keeps decisions about buying more credits close to the budget. That keeps the money decision where it belongs.
No daily monitoring is needed
Nobody has to remember to open the usage page. The check runs on its own and speaks up only when there is something to act on. That makes the check reliable, not dependent on habit.
How it works
What happens, step by step
Once a day, ClickRuntime checks how many Lusha credits your account has used and how many are left.
If fewer than 100 credits remain, you get an email saying how many are left and how many have been used.
If there are enough credits, nothing is sent.
Before it runs live
- Connect Lusha
What you get
Build your own
Need it to work differently?
Your own rules
Conditions, thresholds, filters and exceptions, written the way you'd explain them to a colleague.
Any number of apps
One automation can read from one app and update several others. Over 248 apps are ready, and anything with an API works too.
AI where it helps
Summaries, classification, extraction and drafts use ClickRuntime's built-in AI, with no extra key.
On a schedule or on each event
Runs as often as every 5 minutes, or the moment an app sends an event, and keeps track of what it already handled.
Changes you can ask for
- Run it at a different time, more or less often, or only on weekdays
- Add an AI step, for example to summarize, sort or draft a reply
- Add another app, for example also send it to Slack
- Combine it with other Lusha steps into one automation
Under the hood
The code that runs this automation
from clickruntime import on_trigger, credentials, notify, http
MIN_CREDITS = 100
@on_trigger
def run(event):
resp = http.get("https://api.lusha.com/account/usage",
headers={"api_key": credentials.secret("LUSHA_API_KEY")})
resp.raise_for_status()
usage = resp.json()["usage"]
left = usage["total"] - usage["used"]
if left < MIN_CREDITS:
notify.email_me("Lusha credits running low", f"{left} Lusha credits left ({usage['used']} of {usage['total']} used).")
return {"credits_left": left}FAQ
Common questions
What threshold should I set?
Will it warn me once or every day?
Can it warn a teammate as well?
What permissions does it need?
Does it need AI?
How many runs does it use?
Can I change how it works?
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