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Cradl AI

Automate internal document processes with AI.

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PostgreSQL

Integrate the Cradl AI API with the PostgreSQL API

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

Popular Ways to Connect Cradl AI with PostgreSQL

Delete Row(s) with PostgreSQL API on New Document Parsing Completed (Instant) from Cradl AI API
Cradl AI + PostgreSQL
 
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Execute Custom Query with PostgreSQL API on New Document Parsing Completed (Instant) from Cradl AI API
Cradl AI + PostgreSQL
 
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Find Row With Custom Query with PostgreSQL API on New Document Parsing Completed (Instant) from Cradl AI API
Cradl AI + PostgreSQL
 
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Find Row with PostgreSQL API on New Document Parsing Completed (Instant) from Cradl AI API
Cradl AI + PostgreSQL
 
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Insert Row with PostgreSQL API on New Document Parsing Completed (Instant) from Cradl AI API
Cradl AI + PostgreSQL
 
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Popular Cradl AI and PostgreSQL Triggers

New Document Parsing Completed (Instant) from the Cradl AI API

Emit new event when a document processing flow has completed.

 
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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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Popular Cradl AI and PostgreSQL Actions

Delete Row(s) with the PostgreSQL API

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

 
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Parse Document with the Cradl AI API

Parses data from a document using a custom selected model. 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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Parse Document with Human in the Loop with the Cradl AI API

Sends a document to an existing flow for human-in-the-loop processing. See the documentation

 
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Find Row with the PostgreSQL API

Finds a row in a table via a lookup column. See the documentation

 
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Overview of Cradl AI

Cradl AI is a powerful tool for creating customized machine learning models without extensive coding knowledge. It specializes in processing and understanding various forms of data, including text and images. Utilizing the Cradl AI API on Pipedream, developers can automate workflows involving data analysis, enhance data-driven decision-making, and integrate AI capabilities into applications seamlessly. This opens up opportunities for dynamic interactions with other services, streamlining operations and enhancing user experiences.

Connect Cradl AI

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

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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