Connect Onfleet and InfluxDB to Build Intelligent Automations
Choose a Trigger
When this happens...
Task Created
Choose an Action
Automatically do this!
- Request a new Action for InfluxDB
Enable Integrations or automations with these events of Onfleet and InfluxDB
Enable Integrations or automations with these events of Onfleet and InfluxDB
Triggers
Task Created
Triggers when an Onfleet task is created.
Actions
Create Task
Creates a pickup or dropoff task.
List Administrators
Get all the administrators
Delete Task
Delete a active task
Clone Task
Clones a existing task
List Workers
Returns a collection of all workers in your organization.
Get Workers by Location
You may provide a coordinate pair along with a radius to get a list of workers who are currently within a certain target area.
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Frequently Asked Questions
To start, connect both your Onfleet and InfluxDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Onfleet triggers actions in InfluxDB (or vice versa).
Absolutely. You can customize how Onfleet data is recorded in InfluxDB. This includes choosing which data fields go into which fields of InfluxDB, setting up custom formats, and filtering out unwanted information.
The data sync between Onfleet and InfluxDB typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Onfleet and InfluxDB. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Onfleet
Onfleet transforms cumbersome last-mile logistics into delightful delivery management. Intuitive smartphone apps, powerful web dashboard and automatic customer notifications handle the heavy lifting so you can focus on your customer.
Learn MoreAbout InfluxDB
InfluxDB is a time series database designed to handle high write and query loads, making it ideal for storing and analyzing time-stamped data such as metrics, events, and analytics.
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