with Thanks.io 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 Thanks.io API lets you automate the sending of personalized postcards and letters. This API can be harnessed to craft tailored outreach campaigns, customer appreciation notes, or event-based mailings. By integrating with Pipedream, you can create intelligent, event-driven workflows that trigger mailings based on user activity, data changes, or milestones achieved in other apps, streamlining the way businesses and developers connect with their audiences physically.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
thanks_io: {
type: "app",
app: "thanks_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.thanks.io/api/v2/ping`,
headers: {
Authorization: `Bearer ${this.thanks_io.$auth.oauth_access_token}`,
},
})
},
})
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,
})
},
})