Salesforce Einstein AI Analytics

naftiko: "1.0.0-alpha1"

info:
  label: "Salesforce Einstein AI Analytics"
  description: >-
    Workflow capability combining Einstein Vision and Language APIs for
    AI-driven analytics workflows. Covers image classification, object detection,
    sentiment analysis, and intent detection for customer data analytics teams
    and Salesforce developers building intelligent applications.
  tags:
    - Artificial Intelligence
    - Computer Vision
    - Image Recognition
    - Machine Learning
    - Natural Language Processing
    - Salesforce Einstein
    - Sentiment Analysis
  created: "2026-05-02"
  modified: "2026-05-02"

binds:
  - namespace: env
    keys:
      EINSTEIN_VISION_TOKEN: EINSTEIN_VISION_TOKEN
      EINSTEIN_LANGUAGE_TOKEN: EINSTEIN_LANGUAGE_TOKEN

capability:
  consumes:
    - import: einstein-vision
      location: ./shared/einstein-vision.yaml
    - import: einstein-language
      location: ./shared/einstein-language.yaml

  exposes:
    - type: rest
      port: 8080
      namespace: einstein-ai-analytics-api
      description: "Unified REST API for Salesforce Einstein AI analytics."
      resources:
        - path: /v1/vision/datasets
          name: vision-datasets
          description: "Vision training datasets."
          operations:
            - method: GET
              name: list-vision-datasets
              description: "List all vision datasets."
              call: "einstein-vision.list-datasets"
              outputParameters:
                - type: object
                  mapping: "$."
        - path: /v1/vision/predictions
          name: vision-predictions
          description: "Image classification predictions."
          operations:
            - method: POST
              name: classify-image
              description: "Classify an image using a trained model."
              call: "einstein-vision.predict-image"
              outputParameters:
                - type: object
                  mapping: "$."
        - path: /v1/language/sentiment
          name: sentiment
          description: "Sentiment analysis."
          operations:
            - method: POST
              name: analyze-sentiment
              description: "Analyze text sentiment."
              call: "einstein-language.analyze-sentiment"
              outputParameters:
                - type: object
                  mapping: "$."
        - path: /v1/language/intent
          name: intent
          description: "Intent detection."
          operations:
            - method: POST
              name: detect-intent
              description: "Detect intent in text."
              call: "einstein-language.detect-intent"
              outputParameters:
                - type: object
                  mapping: "$."

    - type: mcp
      port: 9080
      namespace: einstein-ai-analytics-mcp
      transport: http
      description: "MCP server for AI-assisted Salesforce Einstein analytics."
      tools:
        - name: vision-list-datasets
          description: "List Einstein Vision image datasets for the account."
          hints:
            readOnly: true
            idempotent: true
          call: "einstein-vision.list-datasets"
          outputParameters:
            - type: object
              mapping: "$."
        - name: vision-classify-image
          description: "Classify an image using a trained Einstein Vision model."
          hints:
            readOnly: true
            idempotent: true
          call: "einstein-vision.predict-image"
          outputParameters:
            - type: object
              mapping: "$."
        - name: vision-train-model
          description: "Train a new Einstein Vision model on an image dataset."
          hints:
            readOnly: false
            destructive: false
          call: "einstein-vision.train-model"
          outputParameters:
            - type: object
              mapping: "$."
        - name: language-analyze-sentiment
          description: "Analyze the sentiment (positive/negative/neutral) of a text document."
          hints:
            readOnly: true
            idempotent: true
          call: "einstein-language.analyze-sentiment"
          outputParameters:
            - type: object
              mapping: "$."
        - name: language-detect-intent
          description: "Detect the intent expressed in a text document for customer service routing."
          hints:
            readOnly: true
            idempotent: true
          call: "einstein-language.detect-intent"
          outputParameters:
            - type: object
              mapping: "$."