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with Cogmento and Python?

Prompt, edit and deploy AI agents that connect to Cogmento, Python and 2,500+ other apps in seconds.

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Run Python Code with Python API on New Contact Created from Cogmento API
Cogmento + Python
 
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Run Python Code with Python API on New Deal Created from Cogmento API
Cogmento + Python
 
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Run Python Code with Python API on New Task Created from Cogmento API
Cogmento + Python
 
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New Contact Created from the Cogmento API

Emit new event when a new contact is added in Cogmento. See the documentation

 
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New Deal Created from the Cogmento API

Emit new event when a new deal is created in Cogmento. See the documentation

 
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New Task Created from the Cogmento API

Emit new event when a new task is created in Cogmento. See the documentation

 
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Create Contact with the Cogmento API

Create a new contact in Cogmento CRM. 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 Deal with the Cogmento API

Create a new deal in Cogmento CRM. See the documentation

 
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Create Task with the Cogmento API

Create a new task in Cogmento CRM. See the documentation

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

Connect Cogmento

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cogmento: {
      type: "app",
      app: "cogmento",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.cogmento.com/api/1/auth/user/`,
      headers: {
        "accept": `application/json`,
        "authorization": `Token ${this.cogmento.$auth.oauth_access_token}`,
      },
    })
  },
})

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