Stop writing salesforce-einstein API integrations by hand.
Every time you connect n8n to salesforce-einstein, you waste hours mapping endpoints, defining parameters, and debugging schemas. You copy-paste from docs, fix edge cases, and pray nothing breaks.
What if connecting n8n to salesforce-einstein took 5 minutes, not half a day?
This node gives you 12+ resources out of the box: Check API Usage, Authorization, Vision Datasets, Vision Examples, Vision Training, and 7 more: with full CRUD operations, typed parameters, and zero manual configuration.
- Zero boilerplate: Resources, operations, and fields are pre-configured and ready to use
- Full CRUD: Create, read, update, and delete support where the API allows it
- Typed parameters: No more guessing field types
- Built-in auth: API key authentication, ready to go
- Declarative: Native n8n performance, no custom execute() overhead
npm install @n8n-dev/n8n-nodes-salesforce-einsteinOr in n8n:
- Settings → Community Nodes → Install
- Search:
@n8n-dev/n8n-nodes-salesforce-einstein - Click Install
- Install the node (above)
- Add credentials: salesforce-einstein API → paste your API key
- Drag the salesforce-einstein node into your workflow
- Pick a resource → pick an operation → done.
That's it. No configuration files. No code. It just works.
Check API Usage (1 operations)
- Get API Isage
Authorization (2 operations)
- Post Generate an OAUTH Token
- Delete a Refresh Token
Vision Datasets (7 operations)
- Get All Datasets
- Post Create a Dataset
- Post Create a Dataset From a Zip File Asynchronously
- Post Create a Dataset From a Zip File Synchronously
- Delete a Dataset
- Get a Dataset
- Get Deletion Status
Vision Examples (6 operations)
- Put Create Feedback Examples From a Zip File
- Get All Examples
- Post Create an Example
- Put Create Examples From a Zip File
- Get All Examples for Label
- Post Create a Feedback Example
Vision Training (3 operations)
- Post Retrain a Dataset
- Post Train a Dataset
- Get Training Status
Vision Models (4 operations)
- Get All Models
- Delete a Model
- Get Model Metrics
- Get Model Learning Curve
Vision Prediction (3 operations)
- Post Detection with Image File
- Post Detect Text
- Post Make Prediction
Language Datasets (6 operations)
- Get All Datasets
- Post Create a Dataset From a File Asynchronously
- Post Create a Dataset From a File Synchronously
- Delete a Dataset
- Get a Dataset
- Get Deletion Status
Language Examples (4 operations)
- Get All Examples
- Put Create Examples From a File
- Get All Examples for Label
- Post Create a Feedback Example
Language Training (3 operations)
- Post Retrain a Dataset
- Post Train a Dataset
- Get Training Status
Language Models (4 operations)
- Get All Models
- Delete a Model
- Get Model Metrics
- Get Model Learning Curve
Language Prediction (2 operations)
- Post Prediction for Intent
- Post Prediction for Sentiment
Without this node:
- Hours of manual API integration
- Copy-pasting from salesforce-einstein docs
- Debugging auth, pagination, error handling
- Maintaining your own client code
With this node:
- Install → configure → use. 5 minutes.
- Auto-generated from the official salesforce-einstein OpenAPI spec
- Always up to date when the API changes
- Native n8n performance
This node was auto-generated from the official salesforce-einstein OpenAPI specification using @n8n-dev/n8n-openapi-node-ultimate, then validated against the live API so you get accurate types and real parameters, not guesswork.
When the salesforce-einstein API updates, this node updates too.
If this node saved you hours of work, consider supporting continued development, new APIs, better error handling, and faster updates.
MIT © kelvinzer0