Build an interactive commodity story.
Start with a practical question. The result explains the answer, preserves the assumptions and gives the next reader a way to explore.
Choose the question you want to answer.
Each generator turns selected inputs into a short explanation. You can change the choices, check the evidence and share the result.
Which commodity changed more?
Choose two commodities and turn their shared history into a plain-language comparison.
Build this story →What is an oil cargo worth?
Connect barrels, price, losses and adjustments in one shareable explanation.
Build this story →Where can metal supply be concentrated?
Choose a metal and explain what its leading producer shares can—and cannot—tell you.
Build this story →What commodities are inside everyday things?
Explore the materials behind a phone, car, home or farm.
Build this story →From a question to a useful explanation.
A data story is not just a headline. It should show what was compared, explain the result and point back to the evidence.
Ask one clear question
Choose a comparison, calculation, object or supply topic.
Use matched information
Keep dates, units and like-for-like series together.
Explain the result
Turn the output into words a new reader can understand.
Let the reader explore
Share a link so the next person can change the inputs.
Build the evidence behind the story.
Use these workspaces when you need more detail than a short generator provides.
What a generated story does not do.
It does not predict prices, replace the original source or prove why a market moved. Treat it as a clear starting point: check the date, open the linked evidence and add outside context when the question needs it.