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Brazilayer Causal Chains – Soybean Supply (soja_zs)
x402
Brazilayer Causal Chains – Soybean Supply (soja_zs) is a paid API for AI agents from api.brazilayer.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Returns the causal chain for Brazilian soybean supply: consecutive dry days in Mato Grosso, forecast rainfall for MT and the South, last month's officially recorded export volume, and year-over-year change.
Price / call$0.05
Success—
StatusUnknown
How this service works
Causal chain for soybeans: consecutive dry days in the Mato Grosso belt (leads yield and shipped volume by months) → forecast rainfall in MT and the South → soybean volume actually exported last month from the official trade registry → year-over-year change. Brazil is the largest soybean exporter; this is the physical and trade side of global supply, not a price feed. Free sample, no payment: https://api.brazilayer.com/v1/cadeias/amostra
Output
A structured causal chain object containing: (1) number of consecutive dry days recorded in the Mato Grosso soybean belt (a leading indicator of yield and export volume); (2) forecast rainfall for Mato Grosso and Southern Brazil; (3) soybean volume officially exported in the previous month from Brazil's trade registry; and (4) the year-over-year percentage or absolute change in that export volume.
Example use cases
Agricultural commodity supply monitoring
“What does the latest Brazilian soybean supply chain data show — how many consecutive dry days in Mato Grosso, what's the rainfall forecast, and how did last month's exports compare to the same month last year?”
Soybean futures trading signal check
“Before I take a position on ZS futures, can you pull the Brazilayer soybean causal chain signals — specifically the drought stress indicator in the Mato Grosso belt and the official export volume trend?”
Supply chain risk assessment for food processor
“I need to assess Brazilian soybean supply risk for our procurement team — can you get me the current Mato Grosso dry-day count, the rainfall forecast for the key growing regions, and the year-over-year shift in shipped export volume from the official trade registry?”
Technical details
Endpoint
GEThttps://api.brazilayer.com/v1/cadeias/soja_zsWhen to prefer
Choose this endpoint when you need the physical supply-side picture of Brazilian soybeans — combining weather stress, forward-looking rainfall, and official export registry data in a single causal chain. Prefer it over price feeds when you want leading indicators (dry days lead yield and shipments by months) rather than current market prices. It is distinct from general commodity briefings in that it is structured, machine-readable, and focused purely on the soja/ZS supply chain rather than narrative synthesis.
Side effects
- Official trade registry data may lag by days or weeks, so last month's export figure could be preliminary
- Rainfall forecast data may not be available if the upstream meteorological source is unavailable
- HTTP 402 Payment Required if x402 payment header is missing or USDC balance is insufficient
- HTTP 429 if rate limits are exceeded
- HTTP 503 if the upstream government data sources are temporarily unavailable
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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