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 Data Stores API

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

Analyze Call with the Bland AI API

Analyzes an input call, extracting structured data and providing insights. See the documentation

 
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Add or update a single record with the Data Stores API

Add or update a single record in your Pipedream Data Store.

 
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End Call with the Bland AI API

Terminates a currently ongoing call using Bland AI. See the documentation

 
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Add or update multiple records with the Data Stores API

Add or update multiple records to your Pipedream Data Store.

 
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Get Transcript with the Bland AI API

Retrieves the transcript of a specified call post-completion. See the documentation

 
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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

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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 Data Stores

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

Connect Data Stores

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export default defineComponent({
  props: {
    myDataStore: {
      type: "data_store",
    },
  },
  async run({ steps, $ }) {
    await this.myDataStore.set("key_here","Any serializable JSON as the value")
    return await this.myDataStore.get("key_here")
  },
})