Answer stock and price questions from a data store
A read-only Make AI Agent looks up stock and price for products in a Make Data store via a tool scenario; the author measured credit cost on the Free plan. ·
Done withMake
- What they did
- The author built a read-only inventory assistant in Make on the Free plan. A Make AI Agent using Make’s AI Provider and the Small recommended model answered questions like product stock and price by calling one on-demand tool scenario that searched a Make Data store with three fictional products; it could only read data, not reserve, order, or edit stock.
- How it went
- It worked for six demo questions at about 1.08 to 1.30 credits each, roughly 1.1 to 1.3 per question. The main failures were operational: the tool scenario had to be active, a stray placeholder module broke the trigger, and plural product names were not matched.
- Worth knowing
- This setup used both active scenarios available on the Free plan, which only includes 1,000 credits per month.
Try it yourself with Make
Help me build a read-only Make AI Agent that answers questions like 'Is [product name] in stock and what does it cost?' using my Make Data store [data store name]. Set up a tool scenario that searches the store by product name and returns stock and price, and give the agent instructions to only read and never edit or delete records. It's done when I can ask about three sample products and get correct answers, and tell me roughly how many credits each question uses.
Want help getting this working? Join the Vibe Coding Academy ↗ Run by Alex Finn, who also runs this site.
Source: Reddit · Nov 10, 2026
Related use cases
Manage email, calendar and tasks from Slack
An agent built on Make.com with Gmail, Google Calendar and Notion triages emails, checks the calendar and adds tasks on Slack commands.
Prep sales calls and research YouTube ideas with agents
A Lindy agent researches YouTube ideas and scripts, and another emails a brief on discovery-call contacts 10 minutes before meetings; complex content stayed on Make.
Automate customer onboarding with a Make scenario
Agency replaced a planned AI agent with a Make.com scenario and Slack channel for client customer onboarding, and the client paid.
Run a solo company with eight agent departments
A founder set up CEO, CFO, COO, lawyer, accountant, marketing, CTO, and improver agents that share memory and consult each other.
Build profit/loss statements for rental properties
Meta Muse logged into property software and built profit/loss statements for every rental property.
Automate Amazon brand bookkeeping and product images
An Amazon brand operator uses Claude Code to automate as much of his business as possible, including bookkeeping and generating product listing images.
Get 5 like this every morning
The best things people got an AI agent to do, each with the prompt to try it.