with Koala AI and Segment?
Send events to a webhook. Requires a Team or Business account.
Identify lets you tie a user to their actions and record traits about them. It includes a unique User ID and any optional traits you know about them (note requires userId or anonymousId). See the docs here
The Koala AI API enables intelligent analysis of text and conversation data, offering insights and automation capabilities. With Koala AI API on Pipedream, you can craft serverless workflows that respond to data in real-time. Use it to analyze sentiment, categorize content, extract entities, and more. Build workflows that trigger on new data, process it through Koala AI, and act on the insights gained, like updating a database, sending notifications, or enriching CRM information.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
koala_ai: {
type: "app",
app: "koala_ai",
}
},
async run({steps, $}) {
const data = {
"targetKeyword": `What is Pipedream?`,
"gptVersion": `gpt-3.5`,
}
return await axios($, {
method: "post",
url: `https://koala.sh/api/articles/`,
headers: {
Authorization: `Bearer ${this.koala_ai.$auth.api_key}`,
"Content-Type": `application/json`,
},
data,
})
},
})
The Segment API enables you to collect, manage, and route your customer analytics data to various tools for marketing, analytics, and data warehousing. By harnessing the Segment API on Pipedream, you can automate the ingestion and syncing of user events and properties to multiple destinations, allowing you to create seamless data pipelines without manual intervention. Pipedream's serverless platform empowers you to build custom workflows that react to events in real-time, enrich data, or trigger actions across your tech stack.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
segment: {
type: "app",
app: "segment",
}
},
async run({steps, $}) {
const data = {
"event": `PipedreamTestOrder`,
"anonymousId": `019mr8mf4r`,
}
return await axios($, {
method: "post",
url: `https://api.segment.io/v1/track`,
headers: {
"Content-Type": `application/json`,
},
auth: {
username: `${this.segment.$auth.write_key}`,
password: ``,
},
data,
})
},
})