Using the API to add food information - possible?

[dojoca]

I'm on an automation mission. So far I've managed to get N8N working with some locally hosted AI models (using Ollama).

As an example, I've automated posting transactions to Actualbudget - N8N reads email notifications from my bank, and posts them to Actualbudget using an HTTP based API).

I now have Qwen3 VL hosted locally - this powerful model can take a photo of a plate of food, identify what is on the plate, and guesstimate the nutrition of a meal.

I'd like to set up an N8N workflow to:

• Receive a photo of a meal, extract the time/date/other metadata
• Pass the photo to the AI model, which will do an analysis and output information in a structured JSON format (eg - total protein, total kilojoules, etc
• Then (and this is the key part of my question) add this information to actualbudget using the API, if possible.

So my question is: is this currently possible? I've tried to work through the API documentation, but it's a bit confusing. Is there some sort of swagger UI type API documentation? Or is there a way to "translate" the database schema into API terminology, so I can try out a few ways of 'posting' or 'adding' food related info to my Sparkyfitness instance?

[CodeWithCJ]

API doc will be available in next release. Refer Developer resource under Settings tab. But have caution as the App is under heavy development, API might be changed without notice. But I will try my best to avoid changing them.