with ChainAware.ai and Python?
Conducts a comprehensive fraud check. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    chainaware_ai: {
      type: "app",
      app: "chainaware_ai",
    }
  },
  async run({steps, $}) {
    const data = {
      "network": `ETH`,
      //Enter a valid ETH wallet address below to test.
      "walletAddress": `[Wallet Address]`,
      "calculate": `true`,
    }
    return await axios($, {
      method: "post",
      url: `https://enterprise.api.chainaware.ai/fraud/check`,
      headers: {
        "x-api-key": `${this.chainaware_ai.$auth.api_key}`,
      },
      data,
    })
  },
})
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}}