Bland AI
Send or receive millions of phone calls per day, using programmable voice agents that sound and feel human.
Integrate the Bland AI API with the Snowflake API
Setup the Bland AI API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Bland AI and Snowflake remarkably fast. Free for developers.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular Bland AI and Snowflake Triggers#
Popular Bland AI and Snowflake Actions#
Analyzes an input call, extracting structured data and providing insights. See the documentation
Terminates a currently ongoing call using Bland AI. See the documentation
Retrieves the transcript of a specified call post-completion. See the documentation
Overview of Bland AI#
The Bland AI API offers a suite of artificial intelligence services, which, when integrated with Pipedream, can automate tasks, analyze data, and enhance applications with machine learning capabilities. Through Pipedream's serverless platform, you can connect Bland AI with various apps to create custom workflows, process data, and respond to events in real time without managing infrastructure.
Connect Bland AI#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bland_ai: {
type: "app",
app: "bland_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.bland.ai/v1/calls`,
headers: {
"Authorization": `${this.bland_ai.$auth.api_key}`,
},
})
},
})
Overview of Snowflake#
Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.
Getting Started
1. Create a user, role and warehouse in Snowflake
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.
2. Enter those details in Pipedream
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.
3. Build your first workflow
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.
Connect Snowflake#
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: [],
});
},
});Trusted by 1,000,000+ developers from startups to Fortune 500 companies