Metatext.AI Pre-build AI models API

Create and manage machines that read and write.

Integrate the Metatext.AI Pre-build AI models API API with the MySQL API

Setup the Metatext.AI Pre-build AI models API API trigger to run a workflow which integrates with the MySQL API. Pipedream's integration platform allows you to integrate Metatext.AI Pre-build AI models API and MySQL remarkably fast. Free for developers.

Analyze Sentiment with Metatext.AI Pre-build AI models API API on New Column from MySQL API
MySQL + Metatext.AI Pre-build AI models API
 
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Analyze Sentiment with Metatext.AI Pre-build AI models API API on New or Updated Row from MySQL API
MySQL + Metatext.AI Pre-build AI models API
 
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Analyze Sentiment with Metatext.AI Pre-build AI models API API on New Row (Custom Query) from MySQL API
MySQL + Metatext.AI Pre-build AI models API
 
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Analyze Sentiment with Metatext.AI Pre-build AI models API API on New Row from MySQL API
MySQL + Metatext.AI Pre-build AI models API
 
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Analyze Sentiment with Metatext.AI Pre-build AI models API API on New Table from MySQL API
MySQL + Metatext.AI Pre-build AI models API
 
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New Column from the MySQL API

Emit new event when you add a new column to a table. See the docs here

 
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New or Updated Row from the MySQL API

Emit new event when you add or modify a new row in a table. See the docs here

 
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New Row from the MySQL API

Emit new event when you add a new row to a table. See the docs here

 
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New Row (Custom Query) from the MySQL API

Emit new event when new rows are returned from a custom query. See the docs here

 
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New Table from the MySQL API

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

 
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Analyze Sentiment with the Metatext.AI Pre-build AI models API API

Determine the sentiment of the given text (positive, negative, or neutral). See the documentation.

 
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Create Row with the MySQL API

Adds a new row. See the docs here

 
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Extract Keywords with the Metatext.AI Pre-build AI models API API

Identify and extract significant keywords from the given text. See the documentation.

 
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Delete Row with the MySQL API

Delete an existing row. See the docs here

 
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Generate Blog Post with the Metatext.AI Pre-build AI models API API

Generate a blog post based on the given prompt. See the documentation.

 
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Overview of Metatext.AI Pre-build AI models API

The Metatext.AI Pre-built AI Models API offers various artificial intelligence capabilities such as natural language processing, image recognition, and sentiment analysis. This API enables users to add AI features to their applications without the need for extensive machine learning expertise. Utilizing this API in Pipedream workflows allows for automation and integration with other services, making it possible to process and analyze text and images within a serverless environment efficiently.

Connect Metatext.AI Pre-build AI models API

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    metatext_ai_pre_build_ai_models_api: {
      type: "app",
      app: "metatext_ai_pre_build_ai_models_api",
    }
  },
  async run({steps, $}) {
    const data = {
      "text": `{your_text}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.metatext.ai/hub-inference/sentiment-analysis`,
      headers: {
        "Content-Type": `application/json`,
        "x-api-key": `${this.metatext_ai_pre_build_ai_models_api.$auth.api_key}`,
      },
      data,
    })
  },
})

Overview of MySQL

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Connect MySQL

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import mysql from '@pipedream/mysql';

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

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