Fraudpointer

Jul 1st, 2011 2:27 pm

Application Purpose

Fraudpointer is a service and an application that can help online shops protect from fraudsters. More about this on Fraudpointer.

SaaS
Multiple Accounts
Multiple Users per Account
Multiple Roles per User
User configurable Rules to identify fraud cases
Fraud Case Management
Cases are Queued to Accept/Reject/Review and to various Profiles
Dynamic Black lists/White Lists and any other kind of Lists - user configurable
Real-time graphs of Fraud Case Management
Any data can be fed into Fraudpointer database and be used for fraud evaluation
Attributes of various types are supported (String, Numbers, Boolean, Dates, Countries, Emails)
Calculated attributes
Velocity Attributes
Reputation Database
Similarity Matching of Cases
Google Apps Integration (docs, email, contacts)
Matlab Integration

Full internationalization
acts_as_list: Sortable list of objects
kaminari: Used for pagination
redis: Used for background asynchronously long running tasks, processed out of the web request cycle
memcached: Used for memory caching.
state_machine: Used to implement a state machine
jQuery and jQuery UI
client_side_validations: Used to transfer server-side validations on javascript client tier
Online payments. Integration with payment gateway using activemerchant.
Google Apps Market Integration. With the help of various gems:
wicked-pdf: PDf Generation
paper_trail. Tracks changes on data.
ar-octopus: MySQL Master/Slave Replication
Testing:
- Test Unit
- Fixtures
- validator_attachment. Used to check whether specific validators are attached to a model.
- capybara. For testing the UI.]
- [cucumber](http://github.com/cucumber/cucumber/tree/master] for Acceptance Tests
- selenium. For testing the UI when it contains javascript.
new relic. Used for real-time process monitoring.
sunspot_rails. Integration with Solr