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Databricks and Token Metrics integration
Save yourself the work of writing custom integrations for Databricks and Token Metrics and use n8n instead. Build adaptable and scalable Data & Storage, workflows that work with your technology stack. All within a building experience you will love.
How to connect Databricks and Token Metrics
Create a new workflow and add the first step
In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Build your own Databricks and Token Metrics integration
Create custom Databricks and Token Metrics workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
Databricks supported actions
Execute Query
Execute a SQL query and wait for results
Create Directory
Create a directory in volume
Delete Directory
Delete a directory in volume
Delete File
Delete a file from a volume
Download File
Download file content from a volume
Get File Metadata
Get file metadata from a volume
List Directory
List directory contents in volume
Upload File
Upload a file (up to 5 GiB) to Databricks volumes
Create Conversation Message
Create a new conversation message
Execute Message SQL Query
Execute a SQL query from a message attachment
Get Conversation Message
Get a conversation message by ID
Get Genie Space
Get details of a Genie space
Get Query Results
Get results of a SQL query execution
Start Conversation
Start a new conversation
Query Endpoint
Query a serving endpoint. The input format is automatically detected from the endpoint schema.
Create Catalog
Create a new catalog
Create Function
Create a new function
Create Table
Register a new table
Create Volume
Create a new volume
Delete Catalog
Delete a catalog
Delete Function
Delete a function
Delete Table
Delete a table
Delete Volume
Delete a volume
Get Catalog
Get catalog information
Get Function
Get function information
Get Table
Get table information
Get Volume
Get volume information
List Catalogs
List all catalogs
List Functions
List functions in schema
List Tables
List tables in schema
List Volumes
List volumes in schema
Update Catalog
Update catalog information
Create Index
Create a new vector search index
Get Index
Get details of a vector search index
List Indexes
List all vector search indexes
Query Index
Query a vector search index with text or vectors
Supported API Endpoints for Token Metrics
GET
List tokens
Get the list of coins and their associated TOKEN_ID supported by Token Metrics.
/v2/tokens
GET
List trader grades
Retrieve trader grades data.
/v2/trader-grades
GET
List hourly OHLCV
Fetch hourly OHLCV data.
/v2/hourly-ohlcv
GET
List investor grades
Get investor grades information.
/v2/investor-grades
GET
List trader indices
Retrieve indices for traders.
/v2/trader-indices
GET
List investor indices
Get investor indices data.
/v2/investor-indices
GET
List market metrics
Fetch market metrics.
/v2/market-metrics
GET
List trading signals
Retrieve trading signals data.
/v2/trading-signals
GET
List AI reports
Get reports generated by AI.
/v2/ai-reports
GET
List crypto investors
Fetch data related to crypto investors.
/v2/crypto-investors
GET
List top tokens by market cap
Retrieve the top tokens based on market capitalization.
/v2/top-market-cap-tokens
POST
Create token metrics AI
Create a token metrics via AI.
/v2/tmai
GET
List price predictions
Get predictions for token prices.
/v2/price-prediction
GET
List sentiments
Fetch market sentiment data.
/v2/sentiments
GET
Get categories
Access the list of categories.
/v2/categories
GET
Get exchanges
Access the list of exchanges.
/v2/exchanges
GET
Get blockchains
Access the list of blockchains.
/v2/blockchains
To set up Token Metrics integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Token Metrics to query the data you need using the API endpoint URLs you provide.
See the example hereThese API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Token Metrics official documentation to get a full list of all API endpoints and verify the scraped ones!
Databricks and Token Metrics integration details
FAQs
FAQ
Can Databricks connect with Token Metrics?
Can I use Databricks’s API with n8n?
Can I use Token Metrics’s API with n8n?
Is n8n secure for integrating Databricks and Token Metrics?
How to get started with Databricks and Token Metrics integration in n8n.io?
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