Registry packagePublic

@pasar6987/sf-core-ai-einstein

Machine learning models, AI insights, discovery predictions, natural language processing, recommendation engines, and generative AI capabilities powered by Salesforce Einstein.

OSISchema 1.0Domain crmSource developer.salesforce.comOwner @pasar6987

Native (downloadable) · Latest 1.0.1 published Mar 4, 2026 · 48 datasets / 25 measures in the latest preview · Updated Mar 11, 2026

Snapshot

Registry facts before deep inspection

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Format

OSI

Latest release

1.0.1Published Mar 4, 2026

Origin

Native (downloadable)Managed directly in rawctx

Installability

DownloadableDirect rawctx snapshot download

Domain

crm

Owner

@pasar6987

Organization

Independent

Repository

Not linked

License

MIT

Visibility

Public

Tags

salesforcecrmcoreai-einstein

Schema preview

OSI 1.0

Model preview

Structure before documentation

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Models1
Datasets48
Measures25
Dimensions612
Relationships24
AI context1
models/sf-core-ai-einstein.osi.yamlAI context included
48 datasets25 measures612 dimensions24 relationships

README

Package narrative and examples

Use documentation after the package qualifies on source, preview, and installability.

@pasar6987/sf-core-ai-einstein

Machine learning models, AI insights, discovery predictions, natural language processing, recommendation engines, and generative AI capabilities powered by Salesforce Einstein.

Overview

Count
Objects (Datasets)48
Dimensions612
Measures25
Relationships24

Objects

  • AIInsightAction — Represents an Einstein prediction insight action.
  • AIInsightFeedback — Represents an Einstein prediction insight feedback.
  • AIInsightReason — Represents an Einstein prediction insight reason.
  • AIInsightValue — Represents an Einstein prediction insight value.
  • AIMetric — AI Live Model Metrics - AIMetric
  • AIRecordInsight — Represents an Einstein prediction insight.
  • AIResearchPromptResult — Represents the research result generated by Einstein from a prompt template.
  • AiExternalModelReference — AI External Model References - AiExternalModelReference
  • AiGenActionItem — Represents business actions suggested by generative AI. AI-generated action items are sent to either agents for automatic execution or human users for review, depending on org preference and if there are any errors in the process.
  • AiJobRun — Represents an execution instance of an AI job. This object tracks the overall status and manages the lifecycle of the job from initiation to completion.
  • AiJobRunItem — Stores an individual item associated with a parent AiJobRun, including the inputs and resulting response.
  • AiModelLanguage — An object that stores language related information that is generated for each AI model.
  • DiscoveryAIModel — Discovery AI Models - DiscoveryAIModel
  • DiscoveryDeployedModel — Discovery Deployed Models - DiscoveryDeployedModel
  • DiscoveryDplyMdlCstmzField — Discovery Deployed Model Customizable Fields - DiscoveryDplyMdlCstmzField
  • DiscoveryFieldMap — Discovery Field Maps - DiscoveryFieldMap
  • DiscoveryFilter — Discovery Filters - DiscoveryFilter
  • DiscoveryFilterValue — Discovery Filter Values - DiscoveryFilterValue
  • DiscoveryGoal — Discovery Goals - DiscoveryGoal
  • DiscoveryModelField — Discovery Model Fields - DiscoveryModelField
  • DiscoveryRecipient — Discovery Recipients - DiscoveryRecipient
  • DiscoveryRefreshConfig — Discovery Refresh Configs - DiscoveryRefreshConfig
  • DiscoveryRefreshJob — Discovery Refresh Jobs - DiscoveryRefreshJob
  • DiscoveryRefreshTask — Discovery Refresh Tasks - DiscoveryRefreshTask
  • DiscoveryScoringJob — Discovery Scoring Jobs - DiscoveryScoringJob
  • DiscoveryScoringJobItem — Discovery Scoring Job Items - DiscoveryScoringJobItem
  • DiscvDplyMdlCstmzFieldTxt — Discovery Deployed Model Customizable Field Text - DiscvDplyMdlCstmzFieldTxt
  • EinsteinAnswerFeedback — Einstein Answer Feedback - EinsteinAnswerFeedback
  • GenAIConversationSummary — Represents a generated summary of a voice or video call.
  • GenAiPlannerFunctionDef — Represents a relationship between the agent planner service and agent actions.
  • GenAiPluginDefinition — Represents an agent topic, which is a category of actions related to a particular job to be done by AI agents.
  • MLFilterValue — ML Filter Values - MLFilterValue
  • MLModel — Represents an AI model that can be used in Einstein Prediction Builder, Einstein Recommendation Builder, and other Einstein features.
  • MLModelFactor — Represents a field value that has a positive or negative effect on the model’s score.
  • MLModelFactorComponent — Represents information about the related MLModelFactor. For example, this object can represent a field value or a field range such as “Title = CEO” or “Annual Revenue >10000000”.
  • MLModelMetric — Represents a metric or statistic about the related model, such as accuracy, precision, or RSquared. Use a model’s metrics to learn about its performance and to compare it with other models.
  • MLRecommendationDefinition — For internal use only.
  • MlFeatureValueMetric — ML Feature Value Metrics - MlFeatureValueMetric
  • MlIntentUtteranceSuggestion — Represents a customer input, used for training purposes in the feedback loop process of a conversation. Admins can add these inputs to the intent training model.
  • ModelFactor — ModelFactors - ModelFactor
  • NLPhrase — CQ Phrases - NLPhrase
  • NLQueryFragment — CQ Fragments - NLQueryFragment
  • Recommendation — Represents the recommendations surfaced as offers and actions for Einstein Next Best Action.
  • RecommendationFeedback — Recommendation Feedback - RecommendationFeedback
  • RecommendationResponse — Represents the user responses to a presented offer or recommendation for Einstein Next Best Action. This object is available in API version 51.0 and later.
  • RecordRecommendation — Record Recommendations - RecordRecommendation
  • ReplyAIRecommendation — Reply AI Recommendations - ReplyAIRecommendation
  • TopInsight — For internal use only.

Install

rawctx snapshot-download @pasar6987/sf-core-ai-einstein

Topology

Semantic graph

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Semantic Graph

Datasets 0 / Measures 0 / Dimensions 0 / Relationships 0

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