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DuckyHelper in Salesforce Data 360

DuckyHelper sees Salesforce Data 360 on your screen and, in early access, works in it with its own cursor to query customer data, manage segments, explore unified profiles, and activate audiences. It's built to ask before it sends or pays, and explains or draws on Salesforce Data 360 when you want to learn it.

Try asking
  • “Look up the segments and publish a segment”
  • “Create a data space in Salesforce Data 360”
  • “Show me how to create a segment”

Press fn (Ctrl+Shift+Space on Windows and Linux) and ask out loud. Doing the work for you is early access on Mac.

Download for freeSee how it works
Segments in Salesforce Data 360Done in 7sExample
Look up the segments and publish a segment
  1. Looked up the segments in Salesforce Data 360
  2. Created a segment
  3. Publish a segment

It's ready in Salesforce Data 360. Nothing goes out until you press Send.

Salesforce Data 360
7s · 1 app
Salesforce Data 360Publish a segmentNeeds your OK
ToDana Lee (example)

Drawn from Salesforce Data 360's own actions · early access on Mac

WHAT TO ASK

Things you can ask it to do in Salesforce Data 360

Each one is something Salesforce Data 360 itself lets you do, said the way you'd ask. Questions about your screen work today; having it do the job is early access on Mac.

Ask about it

Works today

It sees your screen, answers out loud and draws on it.

  • “Explain this segment to me”
  • “Where do I find the classification taxonomies in Salesforce Data 360?”
  • “Show me how to create a segment”
  • “What does this button do?”
  • “Walk me through this screen”

Read and find

Early access

It opens Salesforce Data 360 and looks things up for you.

  • Look up the segments
  • List the Data spaces
  • List the Data lake objects
  • List the Data streams
  • List the tag taxonomies
  • Look up the data graph data
  • List the data space members
  • Look up the data transforms
Show all 195
  • Count a segment
  • Look up the data model objects
  • Look up the data share targets
  • Look up the data action targets
  • Look up the data shares
  • Look up the consent data model objects
  • Look up the communication capping data spaces
  • List the connections
  • Look up the data model object mappings
  • Search the knowledge libraries
  • Look up the tags
  • Look up a Data space
  • Look up the data kits
  • Look up the activations
  • Look up a data transform
  • Look up the data actions
  • Look up a Data lake object
  • Look up a data model object
  • Look up a data share target
  • Look up the classifications
  • Look up the partner objects
  • Look up the segment members
  • Look up the tag assignments
  • List the connectors
  • Look up a data action target
  • Look up the knowledge spaces
  • Look up the data graph data by entity name
  • Look up the activation targets
  • Look up the connection objects
  • Look up the activation platforms
  • Look up the data sources
  • Look up a data share
  • Look up a Data stream
  • Look up the retrievers
  • Check a data transform
  • Look up the Audience DMO activation records
  • Look up the classification taxonomies
  • Look up the classification assignments
  • Look up the collaboration result objects
  • Look up the activation external platforms
  • Look up the calculated insights
  • Look up the object access grants
  • Look up the data transform run history
  • Look up the agents
  • Look up a data model object mapping
  • Look up the tag suggestions
  • Look up the data kit available components
  • Look up the providers
  • Look up a tag
  • Look up the communication capping rules
  • Look up the knowledge libraries
  • Look up the communication capping activation targets
  • Look up the custom code deployments
  • Look up a data graph
  • Look up the configured models
  • Look up an activation
  • Look up a tag taxonomy
  • Look up a profile data model object
  • Look up the tag assignments on a tag
  • Look up a classification
  • Look up a tag assignment
  • Look up a knowledge space
  • Look up the collaborations
  • Look up the specifications
  • Look up a data space member
  • Look up the knowledge space sessions
  • Look up an activation target
  • Look up an activation platform
  • Check the ingestion records
  • Look up a retriever
  • Look up a classification taxonomy
  • Look up a calculated insight object
  • Look up a classification assignment
  • Look up the knowledge space details
  • Look up the channels
  • Look up the knowledge library details
  • Look up the activation history
  • Look up an activation external platform
  • Look up a calculated insight
  • Look up a data transform schedule
  • Look up the tags with an active detection instructions
  • Look up the custom code executions
  • Look up the private network routes
  • Look up an object access grant
  • Look up the presigned URLs
  • Look up the SQL query rows
  • Review a retriever
  • Look up a data kit manifest
  • Read a session conversation
  • Look up the communication capping dimensions
  • Look up a tag suggestion
  • Look up an agent
  • Look up the classification assignments on a classification
  • Look up the semantic search definition details
  • Look up a provider
  • Look up the channel preferences
  • List the ingestion jobs
  • Look up the last extraction info
  • Look up the connection databases
  • Look up a connection
  • Search the catalog metadata
  • Look up a custom code deployment
  • Look up a semantic search
  • Look up a configured model
  • Look up a data kit component dependency
  • Look up the Marketing Cloud enterprises
  • Look up the data graph metadata
  • Look up the available ad accounts
  • Look up a knowledge space session
  • Look up a tag detection instruction
  • Look up the identity providers for a match boost
  • Look up a connector
  • Look up the knowledge for an import
  • Look up a prediction
  • Look up a connection site map
  • Look up the partner-object types for an activation platform
  • Pull the Document AI configuration data
  • Look up a custom code execution
  • Look up a private network route
  • Look up the profile metadata
  • Look up a connection preview
  • Look up the metadata
  • Look up the data kit component status
  • Look up a file chunks summary
  • Look up a deep research report
  • Look up the query jobs
  • Look up a streaming eligibility
  • Look up the predict jobs
  • Look up the catalog metadata
  • Look up the insight metadata
  • Look up the auto-tagging jobs
  • Look up the action sources for an event
  • Look up the retriever configuration
  • Look up the retriever configurations
  • Look up the Document AI configuration
  • Look up the Document AI configurations
  • Check a data space account for a target
  • Look up a data object categories available for an activation
  • Look up the activation platform metadata
  • Look up the knowledge space configuration
  • Look up the semantic search configuration
  • Look up the knowledge space configurations
  • Look up the file status
  • Look up the Document AI global configuration
  • Look up the calculated insight object metadata
  • Look up the refresh status
  • Look up the communication capping configuration
  • Look up the access policies
  • Look up the activation target dimension metadata
  • Look up the SQL query status
  • Look up the events for an activation platform
  • Look up the deep research status
  • Look up the model artifacts
  • Look up a predict job
  • Look up the profile data model object metadata
  • Look up the prediction job definitions
  • Look up the identity resolution rulesets
  • Look up the model setup versions
  • Look up an ingestion job
  • Look up the catalog metadata types
  • Look up an auto-tagging job
  • Look up the templates
  • Look up the connection database schemas
  • Look up the catalog metadata relationships
  • Look up the template collaborations
  • Look up the field source target relationships
  • Look up the connection fields
  • Look up the predict job tasks
  • Look up the provider templates
  • Look up an access policy rule
  • Look up an access policy
  • Look up the catalog metadata children
  • Look up the metadata entities
  • Look up the model setup version partitions
  • Look up a model artifact
  • Look up the activation target platform fields
  • Look up a prediction job definition
  • Look up a connection schema
  • Look up a model setup version
  • Look up the catalog metadata relationship children
  • Look up an identity resolution ruleset
  • Look up a catalog metadata type
  • Look up the related attribute configuration limits
  • Look up a predict job task
  • Look up a universal ID
  • Look up a model setup version partition
  • Look up a related attribute activation quota

Write and send

Early access

It's built to ask before anything is sent or paid.

  • Create a segment
  • Update a segment
  • Create a data space
  • Create a data transform
  • Create a data lake object
  • Create a data model object
  • Create a data share target
  • Create a data action target
Show all 129
  • Publish a segment
  • Create a data share
  • Create a data stream
  • Create a data model object mapping
  • Create a tag
  • Create a data kit
  • Create a data graph
  • Update a data space
  • Create an activation
  • Create a data action
  • Create a tag taxonomy
  • Create a classification
  • Create a tag assignment
  • Update a data transform
  • Create tags
  • Create a knowledge space
  • Update a data lake object
  • Update a data model object
  • Create an activation target
  • Create a data alert
  • Sync a data space
  • Create a retriever
  • Update a data share
  • Create a classification taxonomy
  • Run a data transform
  • Update a data stream
  • Create tag taxonomies
  • Create a classification assignment
  • Create classifications
  • Create tag assignments
  • Create an object access grant
  • Create an agent
  • Create classification taxonomies
  • Run the data streams
  • Create classification assignments
  • Create a provider
  • Create a knowledge library
  • Create a communication capping rule
  • Update a tag
  • Create calculated insights
  • Create a custom code deployment
  • Create object access grants
  • Create a semantic search
  • Create tag suggestions
  • Update an activation
  • Update a tag taxonomy
  • Create a specification
  • Update a classification
  • Create a knowledge space session
  • Update a knowledge space
  • Create a tag detection instruction
  • Update an activation target
  • Update a data alert
  • Update a retriever
  • Update a classification taxonomy
  • Enable an activation
  • Save data space members
  • Sync a data space member
  • Create tag detection instructions
  • Enable an activation target
  • Update a calculated insight
  • Update the tags
  • Create a communication capping dimension
  • Update a data transform schedule
  • Enable an activation platform
  • Publish an activation platform
  • Link a data share with a target
  • Update a knowledge library
  • Update a communication capping rule
  • Update a connection
  • Run a calculated insight
  • Update the tag taxonomies
  • Update the classifications
  • Update a custom code deployment
  • Update a semantic search
  • Update a configured model
  • Approve the tag suggestions
  • Update the classification taxonomies
  • Update the data kit components
  • Save ingestion records
  • Submit an SQL query
  • Run a clean room query
  • Add the deep research as knowledge source
  • Update a communication capping dimension
  • Import the knowledge
  • Run the deep research
  • Set an activation platform privacy type
  • Update a deep research plan
  • Run an existing connection action
  • Save a connection site map
  • Create an ingestion job
  • Run a full extraction
  • Enable a communication capping
  • Accept a collaboration invitation
  • Run a Document AI process
  • Assign an ad account
  • Create the retriever configuration
  • Run an activation full refresh
  • Create the Document AI configuration
  • Create the knowledge space configuration
  • Update a communication capping dimension priority
  • Create an access policy
  • Create the communication capping configuration
  • Create a prediction job definition
  • Create a Document AI schema
  • Create a model setup version
  • Create an identity resolution ruleset
  • Update a data model object field mapping
  • Publish a Batch DMO activation
  • Create field source target relationships
  • Update a model artifact
  • Update a prediction job definition
  • Update a model setup version
  • Update an identity resolution ruleset
  • Update the retriever configuration
  • Update the Document AI configuration
  • Save a connection schema
  • Update the communication capping configuration
  • Update an ingestion job state
  • Upload an ingestion job CSV
  • Run an identity resolution ruleset now

Manage

Early access

It tidies up and changes things in Salesforce Data 360.

  • Delete a segment
  • Deactivate a segment
  • Deactivate a segment by name
  • Delete a data space
  • Cancel a data transform
  • Delete a data transform
  • Delete a data lake object
  • Delete a data model object
Show all 70
  • Delete a data share target
  • Delete a data action target
  • Delete a data share
  • Delete a data stream
  • Delete a data model object mapping
  • Delete a tag
  • Delete the tags
  • Delete a data kit
  • Delete a data graph
  • Delete an activation
  • Delete a tag taxonomy
  • Disable an activation
  • Delete a classification
  • Delete a tag assignment
  • Delete a knowledge space
  • Delete the tag taxonomies
  • Delete the classifications
  • Delete the tag assignments
  • Delete an activation target
  • Disable an activation target
  • Delete an activation platform
  • Delete the data space members
  • Disable an activation platform
  • Delete a retriever
  • Delete a classification taxonomy
  • Delete a classification assignment
  • Delete the classification taxonomies
  • Delete the classification assignments
  • Delete a calculated insight
  • Delete an object access grant
  • Delete the object access grants
  • Delete an agent
  • Reject the tag suggestions
  • Remove a knowledge library
  • Delete a communication capping rule
  • Delete a connection
  • Delete a custom code deployment
  • Delete a semantic search
  • Delete a configured model
  • Cancel an SQL query
  • Delete the ingestion records
  • Delete a specification
  • Disable a collaboration
  • Delete a knowledge space session
  • Delete a tag detection instruction
  • Remove the files
  • Disable a communication capping
  • Reject a collaboration invitation
  • Delete an ingestion job
  • Update an access policy rule
  • Update an access policy
  • Cancel a running deep research job
  • Delete the retriever configuration
  • Delete the Document AI configuration
  • Delete the activation target metadata
  • Delete a data model object field mapping
  • Delete the knowledge space configuration
  • Delete an access policy
  • Delete a model artifact
  • Delete a prediction job definition
  • Delete an identity resolution ruleset
  • Delete a field source target relationship
BUILT TO ASK FIRST

It's built to wait for your OK in Salesforce Data 360.

When a job ends in “Publish a segment”, it does the work, and is built to stop with it ready. You see exactly what it wrote and where it goes, then Send, Edit or Deny.

It works in Salesforce Data 360 signed in as you. If it hits a sign-in, you sign in yourself: it's built not to type your passwords or card numbers.

Salesforce Data 360Publish a segmentNeeds your OK
ToDana Lee (example)

Example draft · early access on Mac

Why Use DuckyHelper?

Works in Salesforce Data 360 like you do

  • Early access: it sees Salesforce Data 360 on your screen and works in it with its own cursor, while you keep using yours
  • Nothing to set up: it works in Salesforce Data 360 signed in as you
  • Finishes multi-step jobs across Salesforce Data 360 and your other apps

Built to ask before it sends or pays

  • Built to ask first before it sends a message or pays for anything
  • Built not to type your passwords or card numbers for you
  • It listens and looks only while the pill is open

Shows you, not just tells you

  • Explains Salesforce Data 360 out loud and draws right on your screen
  • Works it out with you on a blackboard when you want to learn it

Always there, in every app

  • Press one key in any app and ask out loud: fn on a Mac, Ctrl+Shift+Space on Windows and Linux
  • Runs jobs on a schedule (early access)
  • For Mac, Windows and Linux

Want it in every app you use?

One account works in every app on your computer. Try it for 10 minutes, no card, then pick a plan.

SEE PRICING
FAQ

Frequently asked questions

On your screen, the way a person at your computer would. Press fn (Ctrl+Shift+Space on Windows and Linux) and ask about what you see in Salesforce Data 360: it answers out loud and can draw on Salesforce Data 360 to show you where things are. In early access on Mac it also works in Salesforce Data 360 with its own cursor, signed in as you, while you keep using yours.

For example: “Look up the segments and publish a segment” and “Create a data space in Salesforce Data 360”. Or ask about what you see: “Show me how to create a segment”. Doing the work for you is in early access on Mac.

No. Open Salesforce Data 360 and sign in yourself, the way you always do. DuckyHelper works in the window you have open, signed in as you. It's built not to type your passwords or card numbers for you.

It's built to ask first before it sends a message or pays for anything, and to wait for your yes. It may not recognize every send or payment, so keep an eye on tasks that involve messages or money.

In Salesforce Data 360, a job that ends in “Publish a segment” is built to stop there for your OK: Send, Edit or Deny.

Yes. Press one key and ask out loud. It answers out loud while you keep working, draws on your screen to show you where things are, or works it out with you on a blackboard.

Yes. DuckyHelper works in any app on your computer, so one job can move between Salesforce Data 360 and the other apps and pages you use.

Doing the work for you is new and in early access on Mac. Asking out loud, drawing on your screen and the blackboard work today on Mac, Windows and Linux.

No. It listens and looks only while the pill is open. When the pill is closed, nothing is heard or seen.

No, there is no charge per app. Try DuckyHelper for 10 minutes with no card. Plus is $20 a month, $14 a month for your first 3 months. See pricing.

Mac (Apple silicon, macOS 14 or later), Windows and Linux. Download DuckyHelper.

No. DuckyHelper is made by MingLLM, Inc. and is not affiliated with or endorsed by Salesforce Data 360. It works in Salesforce Data 360 the same way you do, on your screen.

Try it in Salesforce Data 360.Press one key and ask.

It sees Salesforce Data 360, explains it out loud and does the work with you.Try it for 10 minutes, no card.

Download DuckyHelper
Questions and jobs

Do anything

Ask it a question or hand it a job, in any app.

Doing jobs for you is in early access on Mac. Asking works on Mac, Windows and Linux.