AI-Based Document Automation & Data Extraction
The Alphamoon API taps into advanced AI-driven text processing, offering services like document understanding, information extraction, and automated data entry. With this API, you can transform unstructured text into actionable data within your Pipedream workflows. It's a potent tool for automating document-heavy processes, making it invaluable for tasks ranging from data analysis to integrating extracted info into databases or other apps.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
alphamoon: {
type: "app",
app: "alphamoon",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://workspace.alphamoon.ai/api/v0.3/processes`,
auth: {
username: `${this.alphamoon.$auth.api_key}`,
password: ``,
},
})
},
})
Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.
Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.
We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.
Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.
You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.
Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.
Learn more at Pipedream University.
import snowflake from '@pipedream/snowflake';
export default defineComponent({
props: {
snowflake,
},
async run({ $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
return this.snowflake.executeQuery({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
binds: [],
});
},
});