Integrate the FraudLabs Pro API with the Python API

Setup the FraudLabs Pro API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate FraudLabs Pro and Python remarkably fast. Free for developers.

Popular FraudLabs Pro and Python Actions#

Get Verification Result with the FraudLabs Pro API

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.

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Send SMS Verification with the FraudLabs Pro API

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.

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Overview of FraudLabs Pro#

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.

Connect FraudLabs Pro#

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]`,
      },
    })
  },
})

Overview of Python#

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:

Connect Python#

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}}