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TextCortex

Powerful AI Assistant To 12x Your Productivity 🚀

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PostgreSQL

Integrate the TextCortex API with the PostgreSQL API

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

Popular Ways to Connect TextCortex with PostgreSQL

Create Social Media Post with TextCortex API on New Column from PostgreSQL API
PostgreSQL + TextCortex
 
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Create Social Media Post with TextCortex API on New or Updated Row from PostgreSQL API
PostgreSQL + TextCortex
 
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Create Social Media Post with TextCortex API on New Row Custom Query from PostgreSQL API
PostgreSQL + TextCortex
 
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Create Social Media Post with TextCortex API on New Row from PostgreSQL API
PostgreSQL + TextCortex
 
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Create Social Media Post with TextCortex API on New Table from PostgreSQL API
PostgreSQL + TextCortex
 
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Popular TextCortex and PostgreSQL Triggers

New Column from the PostgreSQL API

Emit new event when a new column is added to a table. See the documentation

 
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New or Updated Row from the PostgreSQL API

Emit new event when a row is added or modified. See the documentation

 
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New Row from the PostgreSQL API

Emit new event when a new row is added to a table. See the documentation

 
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New Row Custom Query from the PostgreSQL API

Emit new event when new rows are returned from a custom query that you provide. See the documentation

 
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New Table from the PostgreSQL API

Emit new event when a new table is added to the database. See the documentation

 
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Popular TextCortex and PostgreSQL Actions

Create Social Media Post with the TextCortex API

Create a social media post. See the documentation

 
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Delete Row(s) with the PostgreSQL API

Deletes a row or rows from a table. See the documentation

 
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Summarize Text with the TextCortex API

Summarize given text. The text can be provided as a string or as a file ID. See the documentation

 
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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
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Translate Text with the TextCortex API

Translate given text into another language. See the documentation

 
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Overview of TextCortex

The TextCortex API enables automated creation of human-like text, making it a powerful tool for a variety of text generation tasks like drafting emails, creating content, or generating product descriptions. With Pipedream, you can integrate TextCortex into serverless workflows to harness AI writing assistance, trigger content creation based on events, or enhance data with generated text. The API's capability enhances automation and can be combined with other apps for more complex tasks.

Connect TextCortex

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    textcortex: {
      type: "app",
      app: "textcortex",
    }
  },
  async run({steps, $}) {
    const data = {
      "mode": `voice_passive`,
      "text": `The sky is blue.`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.textcortex.com/v1/texts/rewritings`,
      headers: {
        Authorization: `Bearer ${this.textcortex.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

Overview of PostgreSQL

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Connect PostgreSQL

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import postgresql from "@pipedream/postgresql"

export default defineComponent({
  props: {
    postgresql,
  },
  async run({ steps, $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql

    const queryObj = {
      text: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.postgresql.executeQuery(queryObj);
    return rows;
  },
})
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