HubSpot's CRM platform contains the marketing, sales, service, operations, and website-building software you need to grow your business.
Adds a contact to a specific static list. See the documentation
Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.
Create or update a batch of contacts by its ID or email. See the documentation
Create a model based on a given source ID, dataset ID, or model ID. See the docs.
Create a source with a provided remote URL that points to the data file that you want BigML to download for you. See the docs.
The HubSpot API enables developers to integrate into HubSpots CRM, CMS, Conversations, and other features. It allows for automated management of contacts, companies, deals, and marketing campaigns, enabling custom workflows, data synchronization, and task automation. This streamlines operations and boosts customer engagement, with real-time updates for rapid response to market changes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
hubspot: {
type: "app",
app: "hubspot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.hubapi.com/integrations/v1/me`,
headers: {
Authorization: `Bearer ${this.hubspot.$auth.oauth_access_token}`,
},
})
},
})
The BigML API offers a suite of machine learning tools that enable the creation and management of datasets, models, predictions, and more. It's a powerful resource for developers looking to incorporate machine learning into their applications. Within Pipedream, you can leverage the BigML API to automate workflows, process data, and apply predictive analytics. By connecting BigML to other apps in Pipedream, you can orchestrate sophisticated data pipelines that react to events, perform analyses, and take action based on machine learning insights.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bigml: {
type: "app",
app: "bigml",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://bigml.io/andromeda/source`,
params: {
username: `${this.bigml.$auth.username}`,
api_key: `${this.bigml.$auth.api_key}`,
},
})
},
})