Automation library · Data collection

Assess Bitcoin AML risk with Groq

Started by an event in a connected app, and works across Google Sheets. It hands the judgement calls to Groq. 10 steps: a working afternoon to understand properly.

MediumCalls a model: Groq

10 stepsMedium: a working afternoon
0Branches: places the flow splits
0Loops or waits
1Service it connects to

The flow

Starts it 1Model 2Logic 5Service 2

The steps in the order they run, from what starts it.

  1. 1Manual Workflow TriggerManual triggerStarts it
  2. 2Groq Transaction Chat ModelLm Chat GroqModel
  3. 3Fetch Unconfirmed TransactionsHttp RequestService
  4. 4Analyze Transactions with LLMChain LlmModel
  5. 5Extract Bitcoin TransactionsCodeLogic
  6. 6Append to Bitcoin AML SheetGoogle SheetsService
  7. 7Filter Clean TransactionsCodeLogic
  8. 8Process Clean TransactionsCodeLogic
  9. 9Limit to 10 TransactionsLimitLogic
  10. 10Filter Transactions by ConditionFilterLogic

How it's built

Starts on
An event in a connected app
Steps
10
Size
Medium: a working afternoon
Connects to
Google Sheets
Model
Groq

Questions

What does it need to run?

An n8n account, plus your own Google Sheets account, and a key for Groq. You connect your own accounts after importing it; none are included.

What starts it?

It starts on an event in a connected app.

Does it use AI?

Yes. It calls Groq. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 10 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

Before you run it

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 10 steps before you point it at anything that matters.