Automation library · Data collection

Generate real-time IPL commentary from CricAPI data

Started by another system calling it, and works across Google Sheets. It hands the judgement calls to OpenAI. 9 steps, 1 branch: a working afternoon to understand properly.

MediumCalls a model: OpenAI

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

The flow

Starts it 3Model 1Logic 3Service 2

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

  1. 1Schedule TriggerSchedule triggerStarts it
  2. 2Manual test triggerWebhookStarts it
  3. 3Fetch live match listHttp RequestService
  4. 4Compute Match IndicatorsCodeLogic
  5. 5Is Live Match ?IfLogic
  6. 6Narrative GeneratorOpen AiModel
  7. 7Parse NarrativeCodeLogic
  8. 8Log to IPL Win Probability LogGoogle SheetsService
  9. 9Respond to WebhookRespond To WebhookStarts it

How it's built

Starts on
Another system calling it
Steps
9, with 1 branch
Size
Medium: a working afternoon
Connects to
Google Sheets
Model
OpenAI

Questions

What does it need to run?

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

What starts it?

It starts on another system calling it.

Does it use AI?

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

How long does it take to set up?

Plan an afternoon. 9 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 9 steps before you point it at anything that matters.