Integrate the IBM X-Force Exchange API with the Python API

Setup the IBM X-Force Exchange API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate IBM X-Force Exchange and Python remarkably fast. Free for developers.

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular IBM X-Force Exchange and Python Actions#

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.

Try it

Overview of IBM X-Force Exchange#

The IBM X-Force Exchange API offers a comprehensive threat intelligence database, allowing users to access risk scores, reports, and historical data on various threats. With Pipedream, you can automate workflows involving threat analysis, monitoring, and response. By leveraging its capabilities, you can streamline security operations, such as fetching threat intelligence, updating threat databases, and alerting based on specific indicators of compromise (IOCs).

Connect IBM X-Force Exchange#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ibm_x_force_exchange: {
      type: "app",
      app: "ibm_x_force_exchange",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.xforce.ibmcloud.com/api/user/profile`,
      auth: {
        username: `${this.ibm_x_force_exchange.$auth.api_key}`,
        password: `${this.ibm_x_force_exchange.$auth.api_password}`,
      },
    })
  },
})

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}}

Start for free — no credit card required

Watch a demo