Integrate the Pipedream API with the Codeq Natural Language Processing API API

Setup the Pipedream API trigger to run a workflow which integrates with the Codeq Natural Language Processing API API. Pipedream's integration platform allows you to integrate Pipedream and Codeq Natural Language Processing API remarkably fast. Free for developers.

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Popular Ways to Connect Pipedream with Codeq Natural Language Processing API#

Analyze Document with Codeq Natural Language Processing API API on New Scheduled Tasks from Pipedream API

Pipedream + Codeq Natural Language Processing API

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Check Similarity with Codeq Natural Language Processing API API on New Scheduled Tasks from Pipedream API

Pipedream + Codeq Natural Language Processing API

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Popular Pipedream and Codeq Natural Language Processing API Triggers#

New Scheduled Tasks from the Pipedream API

Exposes an HTTP API for scheduling messages to be emitted at a future time

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New Upcoming Event Alert from the Pipedream API

Emit new event based on a time interval before an upcoming event in the calendar. This source uses Pipedream's Task Scheduler. See the documentation for more information and instructions for connecting your Pipedream account.

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Card Due Date Reminder from the Pipedream API

Emit new event at a specified time before a card is due.

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New Upcoming Calendar Event from the Pipedream API

Emit new event when a Calendar event is upcoming, this source is using reminderMinutesBeforeStart property of the event to determine the time it should emit.

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Popular Pipedream and Codeq Natural Language Processing API Actions#

Analyze Document with the Codeq Natural Language Processing API API

Receives a text and returns a JSON object containing a list of analyzed sentences. See the docs here

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Check Similarity with the Codeq Natural Language Processing API API

Receives two texts and returns a JSON object containing the text similarity score. See the docs here

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Create a Subscription with the Pipedream API

Create a Subscription. See Doc

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Delete a Subscription with the Pipedream API

Delete a Subscription. See Doc

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Generate Component Code with the Pipedream API

Generate component code using AI.

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Overview of Pipedream#

Pipedream is an API that allows you to build applications that can connect to
various data sources and processes them in real-time. You can use Pipedream to
create applications that can perform ETL (Extract, Transform, and Load) tasks,
as well as to create data-driven workflows.

Some examples of applications you can build using the Pipedream API include:

An application that can extract data from a database, transform it, and then
load it into another database.
An application that can monitor a data source for changes, and then trigger a
workflow in response to those changes.
An application that can poll an API for new data, and then process that data
in real-time.

Connect Pipedream#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pipedream: {
      type: "app",
      app: "pipedream",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pipedream.com/v1/users/me`,
      headers: {
        Authorization: `Bearer ${this.pipedream.$auth.api_key}`,
      },
    })
  },
})

Overview of Codeq Natural Language Processing API#

The Codeq Natural Language Processing API provides powerful text analysis capabilities. It parses and understands complex structures in text, extracting meaningful insights. On Pipedream, you can harness this API to analyze text data from various sources, automate content categorization, sentiment analysis, or even construct rich profiles of user feedback. With Pipedream's serverless platform, these processes can be automated, triggered by events, and integrated with numerous other apps to create robust, data-driven workflows.

Connect Codeq Natural Language Processing API#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    codeq_natural_language_processing_api: {
      type: "app",
      app: "codeq_natural_language_processing_api",
    }
  },
  async run({steps, $}) {
    const data = {
      "user_id": `${this.codeq_natural_language_processing_api.$auth.user_id}`,
      "user_key": `${this.codeq_natural_language_processing_api.$auth.user_key}`,
      "text": `{your_text}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.codeq.com/v1`,
      headers: {
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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