Use cases & endpoints
Brazil agro data API — production, exports, harvest
Brazil is a decisive supplier in several global agricultural markets, which means Brazilian harvest and export data moves prices well beyond Brazil. It is also published in Portuguese by several agencies on schedules built around the domestic crop calendar rather than around anyone's data pipeline.
For a desk trading grains or protein this creates an asymmetry: the data exists and is public, but the effort to use it systematically is high enough that many participants rely on secondhand summaries and lag the primary source by days.
Hindcast is building Brazilian production, export and harvest-progress data into the same release-aware model as the US agencies, with values tied to producing regions rather than national aggregates. Regions are joined to weather series, so a localized condition can be read against the crop it actually affects — and every value carries the date its source published it.
hindcast — session
previewhindcast> harvest progress and export flows for a producing region
→ tool: br_agro { commodity:"...", region:"...", as_of:"..." }
✓ published estimates with their release dates
source: Brazilian agency publications, region-level
What's covered
- Production and yield estimates by producing region
- Export flows and shipment data as published
- Harvest progress aligned to the crop calendar
- Weather series joined at region rather than country level
- Publication dates attached to every estimate
- Same release-aware model as USDA and EIA data
Join the waitlist — this page's dataset is already selected.
Questions
Why region-level rather than national figures?
Because national averages hide the variation that moves markets. A drought in one producing state and a normal season elsewhere can net out to an unremarkable national number while the crop that matters is in trouble.
Does this compete with the USDA view of Brazil?
It complements it. USDA publishes its own estimates for Brazilian production; having both alongside the domestic sources is what lets an analyst see where the two disagree, which is often the interesting part.
Related
Join the waitlist. Vote the roadmap. First in, first served.