Track payment events via R

When building a product or service that requires your users to pay for something, there are many ways that things can go wrong, such as delayed payments, fraud, or other such issues.

Thus, it is crucial to track these events in real-time and alert you and your team in the event of a problem.

LogSnag lets you track payment events such as User Subscription, User Purchase, User Cancellation, and User Redemption directly from your R application.

Setting up your account

1. Create a free LogSnag account.
2. Create a new project on your dashboard.
3. Copy your API token from the settings page.

R code snippets

library(httr)

headers = c(
  'Content-Type' = 'application/json',
  'Authorization' = 'Bearer YOUR_API_TOKEN'
)

body = '{
  "project": "my-saas",
  "channel": "payments",
  "event": "Successful Payment",
  "description": "john@example.com - ($19.99)",
  "icon": "💸",
  "notify": true
}';

res <- VERB("POST", url = "https://api.logsnag.com/v1/log", body = body, add_headers(headers))

cat(content(res, 'text'))

library(RCurl)
headers = c(
  "Content-Type" = "application/json",
  "Authorization" = "Bearer YOUR_API_TOKEN"
)
params = "{
  \"project\": \"my-saas\",
  \"channel\": \"payments\",
  \"event\": \"Successful Payment\",
  \"description\": \"john@example.com - ($19.99)\",
  \"icon\": \"💸\",
  \"notify\": true
}"
res <- postForm("https://api.logsnag.com/v1/log", .opts=list(postfields = params, httpheader = headers, followlocation = TRUE), style = "httppost")
cat(res)

R integration details

Connect LogSnag to your R code to easily track and keep a record of your product's payment events. With LogSnag, you can create simple charts and journeys to help you better understand your product. LogSnag also allows you to receive real-time push notifications on your desktop and mobile devices whenever a new payment event occurs.

Other use-cases for LogSnag

1. Monitor your CI/CD build status for your R application
2. Monitor your CPU usage in your R application
3. Monitor when database goes down in your R application
4. Monitor high disk usage in your R application
5. Monitor when a user changes their email address in your R application
6. Monitor failed logins in your R application
7. Monitor failed payments for your R application
8. Monitor memory usage in your R application
9. Monitor MySQL downtime in your R application
10. Monitor when a new feature is used in your R application
11. Monitor your Postgres downtime in your R application
12. Monitor Redis downtime in your R application
13. Monitor suspicious activity in your R application
14. Monitor when a user exceeds the usage limit for your R service
15. Monitor when a user is being rate limited in your R application
16. Get a notification when your R code is done executing
17. Send push notifications to your phone or desktop using R
18. Track canceled subscriptions in your R application
19. Track your R cron jobs
20. Track when a file is uploaded to your R application
21. Track when a form is submitted to your R application
22. Track user sign in events in R
23. Track user signup events via R
24. Track waitlist signup events via R