Integrate the Insighto.ai API with the Python API

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

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Popular Ways to Connect Insighto.ai with Python#

Run Python Code with Python API on New Contact Created from Insighto.ai API

Insighto.ai + Python

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Popular Insighto.ai and Python Triggers#

New Contact Created from the Insighto.ai API

Emit new event when a new contact is created in Insighto AI. See the documentation

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Popular Insighto.ai and Python Actions#

Add Text Blob with the Insighto.ai API

Adds a text blob into an existing data source. 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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Create Contact with the Insighto.ai API

Creates a new contact within the system. See the documentation

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Overview of Insighto.ai#

Insighto.ai offers a powerful API for tapping into advanced analytics and AI capabilities. With Insighto.ai, you can enrich your business data with AI-driven insights, perform sentiment analysis, and automate responses based on customer interaction patterns. Leveraging this API on Pipedream allows you to integrate these capabilities seamlessly with other apps to create dynamic, data-driven workflows that can automate processes, enhance customer interactions, and drive decision-making with real-time analytics.

Connect Insighto.ai#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    insighto_ai: {
      type: "app",
      app: "insighto_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.insighto.ai/api/v1/user`,
      headers: {
        "accept": `application/json`,
      },
      params: {
        api_key: `${this.insighto_ai.$auth.api_key}`,
      },
    })
  },
})

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}}

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