slug: salesforce-einstein
provider: Salesforce Einstein
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Software & Technology
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 10
edges:
- tag: Models
  spec_file: salesforce-einstein-models-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.92
  evidence: '"Train a model", "Retrain a model", "Get model learning curve", schemas DiscoveryModel, GenerativeModel,
    TrainResponse'
  reason: Full ML model lifecycle operations (list, train, retrain, delete, learning curve) across vision/language/LLM
    definitions — plainly AI/ML model lifecycle management.
- tag: Predictions
  spec_file: salesforce-einstein-predictions-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.85
  evidence: '"Make a prediction", "Analyze sentiment", "Detect intent", "Detect objects in an image"'
  reason: Inference endpoints for ML models (scoring, NLP sentiment/intent, computer vision) — model serving
    within AI management; not tied to a specific business domain.
- tag: Prediction Definitions
  spec_file: salesforce-einstein-prediction-definitions-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.82
  evidence: '"Create custom AI predictions on Salesforce data without code using Einstein Prediction Builder";
    createPredictionDefinition'
  reason: CRUD over predictive model definitions (outcome, prediction settings) is configuration of ML
    models, i.e. AI/ML lifecycle management rather than any line-of-business capability.
- tag: AI Record Insights
  spec_file: salesforce-einstein-ai-record-insights-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: 'POST /einstein/ai-record-insights  getAIRecordInsights; schemas: AIRecordInsightsResponse,
    PredictionFactor'
  reason: Operation returns AI prediction insights with prediction factors from Einstein Prediction Builder
    — AI/ML model consumption, mapping to Artificial Intelligence Management.
- tag: Dashboards
  spec_file: salesforce-einstein-dashboards-api-openapi.yml
  capability_id: BC-610.50
  capability_id_l1: BC-610
  capability_name: Analytics & BI Management
  confidence: 0.8
  evidence: 'GET /wave/dashboards  listDashboards; schemas: DashboardCollection, Dashboard'
  reason: Analytics (Wave) dashboard listing and retrieval — business intelligence/analytics delivery
    artefacts, mapping to Analytics & BI Management.
- tag: Datasets
  spec_file: salesforce-einstein-datasets-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: 'POST /datasets  createDataset; schemas: Label, LabelSummary, Dataset, DatasetList (language
    and vision definitions)'
  reason: Datasets with labels for Einstein language/vision model training — ML training data lifecycle,
    part of AI/ML model lifecycle management.
- tag: Generations
  spec_file: salesforce-einstein-generations-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /einstein/llm/prompt/generations  generateFromPrompt; POST /einstein/llm/prompt/chat/generations  chatGeneration
  reason: LLM prompt completion and chat generation endpoints — operational use of generative AI models,
    mapping to Artificial Intelligence Management.
- tag: Prompt Templates
  spec_file: salesforce-einstein-prompt-templates-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: '"List prompt templates", "Create a prompt template"; "Generative AI API powered by large
    language model integration"'
  reason: Lifecycle management of LLM prompt templates is generative-AI asset management, falling under
    AI/ML model lifecycle and responsible AI operations.
- tag: Examples
  spec_file: salesforce-einstein-examples-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: POST /datasets/{datasetId}/examples  addExample  Salesforce Einstein Add an example to a dataset
  reason: Adding labelled training examples to ML datasets for language/vision models — AI/ML lifecycle
    (training data curation).
- tag: Lenses
  spec_file: salesforce-einstein-lenses-api-openapi.yml
  capability_id: BC-610.50
  capability_id_l1: BC-610
  capability_name: Analytics & BI Management
  confidence: 0.75
  evidence: 'GET /wave/lenses  listLenses; schemas: LensCollection, Lens'
  reason: Wave/CRM Analytics lenses are saved exploration views over datasets — analytics and BI delivery
    artefacts.