with BigML and Acuity Scheduling?
Emit new event when an appointment is scheduled.
Emit new event when an appointment is canceled.
Emit new event when an appointment is rescheduled.
Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.
Blocks a specific time slot on your schedule to prevent the scheduling of any appointments during this particular time range. 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 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}`,
},
})
},
})
Acuity Scheduling API allows you to tap into the functionality of Acuity Scheduling, a cloud-based appointment scheduling software. With this API on Pipedream, you can automate appointment creation, modifications, and cancellations, as well as sync customer data across your tech stack. The API lets you fetch detailed information about schedules, available time slots, and calendar events. Create dynamic, real-time integrations with CRMs, email marketing platforms, or payment gateways to streamline your scheduling and business processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
acuity_scheduling: {
type: "app",
app: "acuity_scheduling",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://acuityscheduling.com/api/v1/me`,
headers: {
Authorization: `Bearer ${this.acuity_scheduling.$auth.oauth_access_token}`,
},
})
},
})