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Tisane Labs

Home of cutting edge, explainable AI software that turns unstructured content into meaningful insights.

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PostgreSQL

Integrate the Tisane Labs API with the PostgreSQL API

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

Popular Ways to Connect Tisane Labs with PostgreSQL

Analyze Text with Tisane Labs API on New Column from PostgreSQL API
PostgreSQL + Tisane Labs
 
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Analyze Text with Tisane Labs API on New or Updated Row from PostgreSQL API
PostgreSQL + Tisane Labs
 
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Analyze Text with Tisane Labs API on New Row Custom Query from PostgreSQL API
PostgreSQL + Tisane Labs
 
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Analyze Text with Tisane Labs API on New Row from PostgreSQL API
PostgreSQL + Tisane Labs
 
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Analyze Text with Tisane Labs API on New Table from PostgreSQL API
PostgreSQL + Tisane Labs
 
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Popular Tisane Labs 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 Tisane Labs and PostgreSQL Actions

Analyze Text with the Tisane Labs API

Analyze text for language, entities, sentiment, and other insights. 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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Detect Language with the Tisane Labs API

Detects languages used in the specified text fragment. 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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Generate Image From Text with the Tisane Labs API

Finds and returns a URL of an image (Creative Commons) best describing the text. See the documentation

 
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Overview of Tisane Labs

The Tisane Labs API offers advanced text analysis capabilities, focusing on abusive content detection and linguistic insights. With it, you can automate content moderation, extract entities, detect the sentiment, and identify the language of the text. In Pipedream, Tisane Labs API can be integrated into workflows to process text from various sources such as user comments, support tickets, or social media posts. By leveraging Pipedream's serverless platform, you can create real-time, event-driven applications that respond to text analyses, connect with other services, and perform actions based on the insights gained from the Tisane Labs API.

Connect Tisane Labs

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    tisane_labs: {
      type: "app",
      app: "tisane_labs",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.tisane.ai/languages`,
      headers: {
        "Ocp-Apim-Subscription-Key": `${this.tisane_labs.$auth.api_key}`,
      },
    })
  },
})

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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