FraudLabs Pro helps merchants to protect their online e-commerce stores from malicious fraudsters. It screens all sales orders transacted using credit cards, PayPal, and so on for online frauds (also known as payment frauds or CNP frauds).
Verify that an OTP sent by the Send SMS Verification API is valid. Please refer to the documentation for the explanation of the result returned.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Send an SMS with verification code and a custom message for authentication purpose. Please refer to the documentation for the explanation of the result returned. NOTE: You need to register for an API key before using this REST API. Please visit Micro Plan to sign up for an API key if you do not have one. In addition, you will also have to make sure you have enough SMS credits to send any verification SMS.
The FraudLabs Pro API offers a robust suite of fraud prevention tools that empower users to screen online transactions for fraud. It leverages advanced scoring analytics to rate the risk level of a transaction based on various verification checks, such as IP address, email, transaction velocity, and more. Using Pipedream, developers can integrate these capabilities into workflows to automate fraud checks, augment data analysis, and trigger actions based on fraud scores.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
fraudlabs_pro: {
type: "app",
app: "fraudlabs_pro",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.fraudlabspro.com/v1/order/screen`,
params: {
key: `${this.fraudlabs_pro.$auth.api_key}`,
ip: `[ip_address]`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}