with Vtiger CRM and Codeq Natural Language Processing API?
Receives a text and returns a JSON object containing a list of analyzed sentences. See the docs here
Receives two texts and returns a JSON object containing the text similarity score. See the docs here
The Vtiger CRM API lets you tap into your customer relationship data to create, read, update, and delete records across various entities such as contacts, leads, and opportunities. In Pipedream, you can leverage this API to automate workflows, sync data across platforms, and react to events in real-time, all without the need for dedicated backend code. You can create dynamic workflows that respond to webhooks, schedule tasks, and integrate with 1000+ apps readily available on Pipedream.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
vtiger_crm: {
type: "app",
app: "vtiger_crm",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.vtiger_crm.$auth.instance}.vtiger.com/restapi/v1/vtiger/default/me`,
auth: {
username: `${this.vtiger_crm.$auth.username}`,
password: `${this.vtiger_crm.$auth.access_key}`,
},
})
},
})
The Codeq Natural Language Processing API provides powerful text analysis capabilities. It parses and understands complex structures in text, extracting meaningful insights. On Pipedream, you can harness this API to analyze text data from various sources, automate content categorization, sentiment analysis, or even construct rich profiles of user feedback. With Pipedream's serverless platform, these processes can be automated, triggered by events, and integrated with numerous other apps to create robust, data-driven workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
codeq_natural_language_processing_api: {
type: "app",
app: "codeq_natural_language_processing_api",
}
},
async run({steps, $}) {
const data = {
"user_id": `${this.codeq_natural_language_processing_api.$auth.user_id}`,
"user_key": `${this.codeq_natural_language_processing_api.$auth.user_key}`,
"text": `{your_text}`,
}
return await axios($, {
method: "post",
url: `https://api.codeq.com/v1`,
headers: {
"Content-Type": `application/json`,
},
data,
})
},
})