Prediction Markets
Put your view on prices, crops and reports to the test in markets with a virtual balance, build a portfolio and climb the scoreboard.
- Markets on real outcomes
- Portfolio tracking
- Scoreboard
Kommody brings together what the market expects, what the weather is doing to the crop, what the news is saying and who is positioned, for the agricultural commodities you follow. Read it in the dashboard or ask your AI assistant.
Prediction market · Brazil soybean crop above forecast?
Yes 64%
Rainfall vs. normal · Mato Grosso
ObservedForecastAverage
Today's headlines
Built for the agricultural complex
One platform
Each module answers one question a commodity analyst asks every day, and they all share the same commodity and region filters.
Put your view on prices, crops and reports to the test in markets with a virtual balance, build a portfolio and climb the scoreboard.
Daily precipitation and temperature, observed and forecast, weighted by where each crop is actually grown and compared with the historical average.
Commodity news gathered from many sources, grouped into events and scored bullish, bearish or neutral, with an AI daily digest to start the day.
Weekly CFTC positioning for every major contract: speculator KPIs, historical evolution, players' P&L and mean entry price, plus a nowcast before the next report is out.
Know where every number comes from and when the next official report lands, in one release calendar.
Bring the same data to Claude, ChatGPT or Cursor through MCP, or pull it into Python and Excel with your Kommody login.
Weather that matters to the crop
A plain country average hides the story. Kommody builds daily weather weighted by crop area, from the world map down to state and mesoregion level, and tells you how far each region is from normal.
Daily, region by region
Precipitation and temperature every day for each state and mesoregion, from decades of history through the coming weeks.
Weighted to the crop
Regions count by how much of the crop they grow, so a country's number reflects its producing areas, not its deserts.
Compared with normal
Every value sits next to its historical average, so a dry spell or a wet decad stands out at a glance.
Precipitation · last 30 days vs. average
by regionAI-ready data
Every dataset behind the dashboards is available through an MCP server. Paste one URL into Claude, ChatGPT or Cursor, sign in, and your assistant can read markets, weather, news and positioning directly.
MCP
One URL, OAuth sign-in
Python
Pull any table as a DataFrame
Excel
CSV and XLSX on every chart
Request access, pick the commodities you follow and your home page opens on them every morning.