Neutrino
The Neutrino API platform provides a highly available, performant global network that lets developers focus on their product and not on building and maintaining complex in-house tools not relevant to their core business.
Integrate the Neutrino API with the Schedule API
Setup the Neutrino API trigger to run a workflow which integrates with the Schedule API. Pipedream's integration platform allows you to integrate Neutrino and Schedule remarkably fast. Free for developers.
Popular Neutrino and Schedule Triggers#
Overview of Neutrino#
With the Neutrino API, you can build many different types of applications and
services, including:
- Location-based applications
- Geolocation services
- Travel and mapping applications
- Weather applications
- Social media applications
- Messaging and chat applications
- ECommerce applications
- Financial applications
- Politics and news applications
Connect Neutrino#
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import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
neutrino: {
type: "app",
app: "neutrino",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://neutrinoapi.net/email-validate`,
params: {
email: `YOUR_EMAIL_ADDRESS`,
"api-key": `${this.neutrino.$auth.api_key}`,
"user-id": `${this.neutrino.$auth.user_id}`,
},
})
},
})
Overview of Schedule#
With Schedule - A trigger provided by Pipedream - You can easily build
automated workflows that run on regular times or intervals. Some examples of
things that you can build using the Schedule API include:
- Automated data retrieval from a third-party service, like pulling stats from
your Salesforce account on a set schedule. - Uploading new data sets to a database with a predetermined interval.
- Automatic emails to customers or leads at a certain time of the day.
- Automating data analysis based on a set schedule.
- Automatically optimizing social media postings according to a specified
timeline. - Updating webpages at a certain interval with newly available content.
- Re-running reports on a periodic basis.
- Refreshing a cache of data at a given frequency.