GPTZero: Detect AI

AI Detector - the Original AI Checker for ChatGPT & More

Integrate the GPTZero: Detect AI API with the Python API

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

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Scan File for AI Detection with the GPTZero: Detect AI API

This endpoint takes in file(s) input and returns the model's result. See the documentation

 
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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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Scan Text for AI Detection with the GPTZero: Detect AI API

This endpoint takes in a single text input and runs AI detection. The document will be truncated to 50,000 characters. See the documentation

 
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Connect GPTZero: Detect AI

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    gptzero_detect_ai: {
      type: "app",
      app: "gptzero_detect_ai",
    }
  },
  async run({steps, $}) {
    const data = {
      "document": `Pipedream is the fastest way to automate any process that connects APIs. Build and run workflows with code-level control when you need it, and no code when you don't.`,
      "multilingual": `false`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.gptzero.me/v2/predict/text`,
      headers: {
        "Accept": `application/json`,
        "Content-Type": `application/json`,
        "x-api-key": `${this.gptzero_detect_ai.$auth.api_key}`,
      },
      data,
    })
  },
})

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

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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}}

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

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo