with Cradl AI and Ringover?
Emit new event when a document processing flow has completed.
Parses data from a document using a custom selected model. See the documentation
Sends a document to an existing flow for human-in-the-loop processing. See the documentation
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.
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}`,
},
})
},
})
The Ringover API allows you to automate and integrate telephony features with your existing apps and services. With Pipedream and Ringover, you can create serverless workflows that handle voice and SMS events, manage contacts, and analyze call data without the need for a backend infrastructure. By leveraging Pipedream's capability to connect with various APIs, you can sync Ringover activities with CRM systems, support tickets, messaging platforms, and more, all in real time.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
ringover: {
type: "app",
app: "ringover",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.ringover.$auth.server}.ringover.com/v2/teams`,
headers: {
"Authorization": `${this.ringover.$auth.api_key}`,
"accept": `application/json`,
},
})
},
})