Salesforce Einstein

Salesforce Einstein Models API

Manage Einstein Discovery prediction models

GitHub OpenAPI

Documentation

📖
Documentation
https://metamind.readme.io/docs/intro-to-einstein-vision
📖
Authentication
https://metamind.readme.io/docs/generate-oauth-token
📖
Documentation
https://metamind.readme.io/docs/intro-to-einstein-language
📖
Documentation
https://developer.salesforce.com/docs/atlas.en-us.api_rest.meta/api_rest/einstein_prediction_builder.htm
📖
APIReference
https://developer.salesforce.com/docs/atlas.en-us.api_rest.meta/api_rest/
📖
Authentication
https://developer.salesforce.com/docs/atlas.en-us.api_rest.meta/api_rest/intro_oauth_and_connected_apps.htm
📖
Documentation
https://developer.salesforce.com/docs/atlas.en-us.bi_dev_guide_rest.meta/bi_dev_guide_rest/
📖
APIReference
https://developer.salesforce.com/docs/atlas.en-us.bi_dev_guide_rest.meta/bi_dev_guide_rest/bi_rest_overview.htm
📖
Documentation
https://developer.salesforce.com/docs/service/einstein-bots/guide/einstein-bots-developer-overview.html
📖
Documentation
https://developer.salesforce.com/docs/einstein/genai/overview

Specifications

⚙
OpenAPI
https://raw.githubusercontent.com/api-evangelist/salesforce-einstein/refs/heads/main/openapi/salesforce-einstein-models-api-openapi.yml

Other Resources

🔗
Pricing
https://www.salesforce.com/products/einstein/pricing/
🔗
Signup
https://api.einstein.ai/signup
🔗
Setup Guide
https://help.salesforce.com/s/articleView?id=sf.bots_service_intro.htm
🔗
Announcement
https://www.salesforce.com/news/press-releases/2023/03/07/einstein-gpt/
🔗
Trust & Safety
https://www.salesforce.com/company/ethical-and-humane-use/

Work with this as data

Every API here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for apis

7 MCP tools reach this
  • find_apisBrowse and filter every API in the catalog.
  • get_api_artifactsOne API's artifacts, grouped by type.
  • get_openapiThe primary OpenAPI for this API.
  • find_similar_apisAPIs that look like this one.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools

Call it yourself

curl for this page
This API 
curl "https://apis.io/api/v1/apis/salesforce-einstein-models-api"
All apis 
curl "https://apis.io/api/v1/apis?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no email required.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.

OpenAPI Specification

salesforce-einstein-models-api-openapi.yml Raw ↑ 
openapi: 3.1.0
info:
  title: Salesforce Einstein Bots AI Record Insights Models API
  description: Conversational AI API for building intelligent chatbots and virtual assistants. Einstein Bots provides REST endpoints to create, manage, and interact with AI-powered bots that can handle customer service conversations across channels.
  version: 58.0.0
  contact:
    name: Salesforce Developer Support
    url: https://developer.salesforce.com/
  license:
    name: Salesforce Master Subscription Agreement
    url: https://www.salesforce.com/company/legal/agreements/
  termsOfService: https://www.salesforce.com/company/legal/agreements/
servers:
- url: https://{instance}.salesforce.com/services/data/v58.0
  description: Salesforce Instance
  variables:
    instance:
      default: login
      description: Your Salesforce instance domain.
security:
- oauth2: []
tags:
- name: Models
  description: Manage Einstein Discovery prediction models
paths:
  /wave/models:
    get:
      operationId: listModels
      summary: Salesforce Einstein List prediction models
      description: Returns a list of Einstein Discovery prediction models.
      tags:
      - Models
      parameters:
      - name: pageSize
        in: query
        schema:
          type: integer
          default: 25
      - name: page
        in: query
        schema:
          type: string
      responses:
        '200':
          description: Successful response with models list.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ModelCollection'
        '401':
          $ref: '#/components/responses/Unauthorized'
  /wave/models/{modelId}:
    get:
      operationId: getModel
      summary: Salesforce Einstein Get a prediction model
      description: Returns details of a specific prediction model.
      tags:
      - Models
      parameters:
      - $ref: '#/components/parameters/ModelId'
      responses:
        '200':
          description: Successful response with model details.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/DiscoveryModel'
        '401':
          $ref: '#/components/responses/Unauthorized'
        '404':
          $ref: '#/components/responses/NotFound'
    delete:
      operationId: deleteModel
      summary: Salesforce Einstein Delete a prediction model
      description: Deletes an Einstein Discovery prediction model.
      tags:
      - Models
      parameters:
      - $ref: '#/components/parameters/ModelId'
      responses:
        '204':
          description: Model deleted successfully.
        '401':
          $ref: '#/components/responses/Unauthorized'
        '404':
          $ref: '#/components/responses/NotFound'
  /einstein/llm/models:
    get:
      operationId: listModels
      summary: Salesforce Einstein List available models
      description: Returns a list of available generative AI models that can be used for content generation.
      tags:
      - Models
      responses:
        '200':
          description: Successful response with available models.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ModelCollection_2'
        '401':
          $ref: '#/components/responses/Unauthorized'
  /einstein/llm/models/{modelId}:
    get:
      operationId: getModel
      summary: Salesforce Einstein Get model details
      description: Returns details of a specific generative AI model.
      tags:
      - Models
      parameters:
      - $ref: '#/components/parameters/ModelId_2'
      responses:
        '200':
          description: Successful response with model details.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/GenerativeModel'
        '401':
          $ref: '#/components/responses/Unauthorized'
        '404':
          $ref: '#/components/responses/NotFound'
  /datasets/{datasetId}/models:
    get:
      operationId: listModelsForDataset
      summary: Salesforce Einstein List models for a dataset
      description: Returns all models trained on the specified dataset.
      tags:
      - Models
      parameters:
      - $ref: '#/components/parameters/DatasetId'
      responses:
        '200':
          description: Successful response with models list.
          content:
            application/json:
              schema:
                type: array
                items:
                  $ref: '#/components/schemas/Model'
        '401':
          $ref: '#/components/responses/Unauthorized_2'
  /train:
    post:
      operationId: trainModel
      summary: Salesforce Einstein Train a model
      description: Trains a text classification model on a dataset. Training is asynchronous.
      tags:
      - Models
      requestBody:
        required: true
        content:
          multipart/form-data:
            schema:
              type: object
              properties:
                name:
                  type: string
                  description: Name for the trained model.
                datasetId:
                  type: integer
                  description: ID of the dataset to train on.
                trainParams:
                  type: string
                  description: JSON string of optional training parameters.
                epochs:
                  type: integer
                  description: Number of training epochs.
                learningRate:
                  type: number
                  description: Learning rate for training.
              required:
              - name
              - datasetId
      responses:
        '200':
          description: Training job started successfully.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/TrainResponse'
        '400':
          $ref: '#/components/responses/BadRequest'
        '401':
          $ref: '#/components/responses/Unauthorized_2'
  /retrain:
    post:
      operationId: retrainModel
      summary: Salesforce Einstein Retrain a model
      description: Retrains an existing model with additional data.
      tags:
      - Models
      requestBody:
        required: true
        content:
          multipart/form-data:
            schema:
              type: object
              properties:
                modelId:
                  type: string
                  description: ID of the model to retrain.
                epochs:
                  type: integer
                learningRate:
                  type: number
              required:
              - modelId
      responses:
        '200':
          description: Retraining job started successfully.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/TrainResponse'
        '400':
          $ref: '#/components/responses/BadRequest'
        '401':
          $ref: '#/components/responses/Unauthorized_2'
  /models/{modelId}:
    get:
      operationId: getModel
      summary: Salesforce Einstein Get model details
      description: Returns the details and metrics of a trained model.
      tags:
      - Models
      parameters:
      - $ref: '#/components/parameters/ModelId'
      responses:
        '200':
          description: Successful response with model details.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Model'
        '401':
          $ref: '#/components/responses/Unauthorized_2'
        '404':
          $ref: '#/components/responses/NotFound'
    delete:
      operationId: deleteModel
      summary: Salesforce Einstein Delete a model
      description: Deletes a trained model.
      tags:
      - Models
      parameters:
      - $ref: '#/components/parameters/ModelId'
      responses:
        '200':
          description: Model deleted successfully.
        '401':
          $ref: '#/components/responses/Unauthorized_2'
        '404':
          $ref: '#/components/responses/NotFound'
  /models/{modelId}/lc:
    get:
      operationId: getModelLearningCurve
      summary: Salesforce Einstein Get model learning curve
      description: Returns the learning curve data for a trained model.
      tags:
      - Models
      parameters:
      - $ref: '#/components/parameters/ModelId'
      responses:
        '200':
          description: Successful response with learning curve.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/LearningCurve'
        '401':
          $ref: '#/components/responses/Unauthorized_3'
        '404':
          $ref: '#/components/responses/NotFound'
components:
  schemas:
    DiscoveryModel:
      type: object
      properties:
        id:
          type: string
        name:
          type: string
        label:
          type: string
        status:
          type: string
          enum:
          - Active
          - Inactive
          - Training
          - Failed
        storyId:
          type: string
        algorithmType:
          type: string
        predictionType:
          type: string
        createdDate:
          type: string
          format: date-time
        lastModifiedDate:
          type: string
          format: date-time
        url:
          type: string
          format: uri
    Error_2:
      type: object
      properties:
        message:
          type: string
          description: Human-readable error message.
        errorCode:
          type: string
          description: Machine-readable error code.
    LearningCurve:
      type: object
      properties:
        data:
          type: array
          items:
            type: object
            properties:
              epoch:
                type: integer
              metricsData:
                type: object
                properties:
                  f1:
                    type: array
                    items:
                      type: number
                  testAccuracy:
                    type: array
                    items:
                      type: number
                  trainingLoss:
                    type: array
                    items:
                      type: number
        object:
          type: string
    Error:
      type: object
      properties:
        message:
          type: string
        errorCode:
          type: string
        fields:
          type: array
          items:
            type: string
    Error_3:
      type: object
      properties:
        message:
          type: string
          description: Human-readable error message.
        errorCode:
          type: string
          description: Machine-readable error code.
    Model:
      type: object
      properties:
        modelId:
          type: string
        name:
          type: string
        datasetId:
          type: integer
        datasetVersionId:
          type: integer
        status:
          type: string
          enum:
          - QUEUED
          - RUNNING
          - SUCCEEDED
          - FAILED
          - DELETED
        progress:
          type: number
        createdAt:
          type: string
          format: date-time
        updatedAt:
          type: string
          format: date-time
        learningRate:
          type: number
        epochs:
          type: integer
        object:
          type: string
        modelType:
          type: string
        failureMsg:
          type: string
    TrainResponse:
      type: object
      properties:
        modelId:
          type: string
        datasetId:
          type: integer
        datasetVersionId:
          type: integer
        name:
          type: string
        status:
          type: string
        progress:
          type: number
        createdAt:
          type: string
          format: date-time
        updatedAt:
          type: string
          format: date-time
        epochs:
          type: integer
        learningRate:
          type: number
        object:
          type: string
    ModelCollection:
      type: object
      properties:
        models:
          type: array
          items:
            $ref: '#/components/schemas/DiscoveryModel'
        totalSize:
          type: integer
        nextPageUrl:
          type: string
    ModelCollection_2:
      type: object
      properties:
        models:
          type: array
          items:
            $ref: '#/components/schemas/GenerativeModel'
        totalSize:
          type: integer
    GenerativeModel:
      type: object
      properties:
        id:
          type: string
        name:
          type: string
        label:
          type: string
        provider:
          type: string
          description: Model provider name.
        modelType:
          type: string
          enum:
          - gpt-4
          - gpt-3.5-turbo
          - claude
          - custom
          description: Type of the model.
        capabilities:
          type: array
          items:
            type: string
          description: Capabilities supported by the model.
        status:
          type: string
          enum:
          - Active
          - Inactive
  parameters:
    ModelId:
      name: modelId
      in: path
      required: true
      description: Unique identifier for the model.
      schema:
        type: string
    ModelId_2:
      name: modelId
      in: path
      required: true
      description: Unique identifier for the generative AI model.
      schema:
        type: string
    DatasetId:
      name: datasetId
      in: path
      required: true
      description: Unique identifier for the dataset.
      schema:
        type: integer
  responses:
    Unauthorized_2:
      description: Unauthorized. Invalid or missing bearer token.
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error_2'
    Unauthorized:
      description: Unauthorized.
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error'
    Unauthorized_3:
      description: Unauthorized. Invalid or missing bearer token.
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error_3'
    BadRequest:
      description: Bad request. Invalid parameters or missing required fields.
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error_2'
    NotFound:
      description: Resource not found.
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error'
  securitySchemes:
    oauth2:
      type: oauth2
      description: Salesforce OAuth 2.0 authentication.
      flows:
        authorizationCode:
          authorizationUrl: https://login.salesforce.com/services/oauth2/authorize
          tokenUrl: https://login.salesforce.com/services/oauth2/token
          scopes:
            api: Full access to Salesforce APIs
            einstein_gpt: Access to Einstein AI features