with Pipedrive and Metatext.AI Pre-build AI models API?
Adds a new activity. Includes more_activities_scheduled_in_context
property in response's additional_data
which indicates whether there are more undone activities scheduled with the same deal, person or organization (depending on the supplied data). See the Pipedrive API docs for Activities here. For info on adding an activity in Pipedrive
Determine the sentiment of the given text (positive, negative, or neutral). See the documentation
Identify and extract significant keywords from the given text. See the documentation
Pipedrive API on Pipedream allows you to create powerful sales automation and data management workflows. With access to Pipedrive's CRM capabilities, you can automate deal updates, contact management, and sales reporting. Whether you're syncing customer information across platforms or triggering actions based on deal stages, Pipedream makes these integrations seamless.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pipedrive: {
type: "app",
app: "pipedrive",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.pipedrive.$auth.api_domain}/users/me`,
headers: {
Authorization: `Bearer ${this.pipedrive.$auth.oauth_access_token}`,
},
})
},
})
The Metatext.AI Pre-built AI Models API offers various artificial intelligence capabilities such as natural language processing, image recognition, and sentiment analysis. This API enables users to add AI features to their applications without the need for extensive machine learning expertise. Utilizing this API in Pipedream workflows allows for automation and integration with other services, making it possible to process and analyze text and images within a serverless environment efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
metatext_ai_pre_build_ai_models_api: {
type: "app",
app: "metatext_ai_pre_build_ai_models_api",
}
},
async run({steps, $}) {
const data = {
"text": `{your_text}`,
}
return await axios($, {
method: "post",
url: `https://api.metatext.ai/hub-inference/sentiment-analysis`,
headers: {
"Content-Type": `application/json`,
"x-api-key": `${this.metatext_ai_pre_build_ai_models_api.$auth.api_key}`,
},
data,
})
},
})