Integrations Contextual AI runkeeper
Contextual AI + runkeeper

Connect Contextual AI and runkeeper to Build Intelligent Automations

Choose a Trigger

Contextual AI

When this happens...

Choose an Action

runkeeper

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Enable Integrations or automations with these events of Contextual AI and runkeeper

Enable Integrations or automations with these events of Contextual AI and runkeeper

Actions

Create Datastore

Create Datastore

Create a new Datastore.

List Datastores

List Datastores

Retrieve a list of Datastores.

Get Datastore Metadata

Get Datastore Metadata

Get the details of a given Datastore, including its name, create time, and the list of Agents which are currently configured to use the Datastore.

Reset Datastore

Reset Datastore

Reset the give Datastore. This operation is irreversible and it deletes all the documents associated with the datastore.

Delete Datastore

Delete Datastore

Delete a given Datastore, including all the documents ingested into it. This operation is irreversible.

List Documents

List Documents

Get list of documents in a given Datastore, including document id, name, and ingestion job status.

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Frequently Asked Questions

How do I start an integration between Contextual AI and runkeeper?

To start, connect both your Contextual AI and runkeeper accounts to viaSocket. Once connected, you can set up a workflow where an event in Contextual AI triggers actions in runkeeper (or vice versa).

Can we customize how data from Contextual AI is recorded in runkeeper?

Absolutely. You can customize how Contextual AI data is recorded in runkeeper. This includes choosing which data fields go into which fields of runkeeper, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Contextual AI and runkeeper?

The data sync between Contextual AI and runkeeper typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Contextual AI to runkeeper?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Contextual AI and runkeeper?

Yes, you can set conditional logic to control the flow of data between Contextual AI and runkeeper. 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.

Contextual AI

About Contextual AI

Contextual AI is a cutting-edge platform that leverages artificial intelligence to provide context-aware solutions. It helps businesses and developers create applications that understand and respond to the context of user interactions, enhancing user experience and engagement.

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runkeeper

About runkeeper

Runkeeper lets you track your runs and walks from your mobile device and share the activity with your friends, helping you stick to fitness goals with plans and an encouraging community.

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