Agricultural Commodities Insights and Trends

TURN GLOBAL AGRICULTURAL COMPLEXITY INTO STRATEGIC ADVANTAGE

Anticipate agricultural market movements with Permutable AI’s comprehensive intelligence platform covering wheat, coffee, sugar, soybeans, and key agricultural commodities. Our advanced story signal analysis detects emerging narratives before they impact prices, delivering actionable metals and mining insights alongside agricultural intelligence. 

Monitor real-time supply-demand fundamentals, weather patterns, and trade dynamics through our AI-powered detection system. From crop condition alerts to sentiment direction changes, we transform agricultural market complexity into strategic trading opportunities. 

Access granular sentiment analysis via enterprise-grade API integration, enabling you to position ahead of market-moving events rather than react to them and navigate today’s interconnected agricultural commodities landscape with precision and confidence.

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Permutable Agriculture Intelligence Dashboard

Technical Overview

Contact us at enquiries@permutable.ai

Permutable's Agricultural Commodities Intelligence provides comprehensive insights into global agricultural markets. We track key commodities including Wheat (ZW), Corn (ZC), Soybeans (ZS), Coffee (KC), Sugar (SB), and other agricultural products. Our system analyses supply and demand factors, weather impacts, trade dynamics, and regional price movements. We also identify new story breakouts, monitor ongoing coverage, and detect sentiment shifts related to agricultural news. Furthermore, our advanced story signal analysis identifies critical narrative developments such as New Story Breakout - detects the initial emergence of a significant news narrative (e.g., wheat_first_headline_detection); Story Volume Build Up - monitors increasing volume of discussion around a specific story (e.g., wheat_story_modified_volume_increase); Story Direction Change - identifies shifts in the sentiment or focus of an evolving story (e.g., wheat_story_modified_direction_change); and Forced Persistent Story - tracks narratives that maintain presence due to continuous external inputs or events (e.g., wheat_story_persistent). These signals help you stay ahead of market-moving events.

Implementation Use Cases

Trends Across Agricultural Commodities

Monitor real-time trends and data for key agricultural products and commodities.

Grains: Wheat, Corn, Soybeans
Softs: Coffee, Sugar, Cotton
Livestock & Other Products

Supply & Demand Factors

Analyse key fundamental factors affecting agricultural markets including weather, production, and trade dynamics.

Weather patterns & crop conditions
Supply chain disruptions
Trade policies & export dynamics

Story Signal

Identify impactful news narratives and sentiment shifts as they emerge through the following key signals:

New story breakout
Continued story buildup
Story direction shift

Weather & Climate Impact

Track weather patterns, climate events, and seasonal conditions that impact crop yields and agricultural production globally.

Monitor drought and flood conditions
Analyse seasonal weather patterns
Track climate change impacts

Permutable Co-Pilot API enables programmatic access to structured news data with millisecond latency and enterprise-grade reliability. Full documentation is available at https://copilot-api.permutable.ai/redoc, including Python, R, and Java client libraries with webhook support.

API Reference

Retrieves a paginated list of fundamental (agriculture-specific) events for a given ticker, ordered by date in descending order by event date (Newest to oldest). Supports date range filtering.

GET /v1/events/fundamental/ticker/{ticker}

Parameters

Name Description
ticker
required
string (path)
 Ticker of the entity to fetch events for. Get these from GET /ticker endpoints.
start_date
string ($date-time)
 Earliest date of the events to fetch (max 3 months before current date).
end_date
string ($date-time)
 Latest date of the events to fetch.
limit
integer
Range: 1-100
 Number of events per page. Default value: 10
offset
integer
Minimum: 0
 Starting position of the current page. Default value: 0

Request Sample (Python)

import requests

# Replace with your actual credentials
API_KEY = "your-api-key"
AGRICULTURE_TICKER = "ZW_COM" # Example: Wheat


# Headers
headers = {
    "x-api-key": API_KEY,
}

# Query parameters
params = {'start_date': '2024-11-25T00:00:00', 'end_date': '2024-11-25T00:00:00', 'limit': 10, 'offset': 0}

# Make the request
response = requests.get(
    f"https://copilot-api.permutable.ai/v1/events/fundamental/ticker/{AGRICULTURE_TICKER}",
    headers=headers,
    params=params
)

# Check for errors
response.raise_for_status()

# Get the response data
data = response.json()
print(data)

Responses

Code Description Links
200 Successful response No links

Response Type

application/json

Sample Response

// Structure: 'events' is an array of event objects, each with id, topic, event_name, event_date, summary, ticker, last_updated, direction_reasoning, and direction. Root includes total, limit, offset, has_more.
{
  "events": [
    {
      "id": "8f32a9b1-fe06-4a7f-b0ac-00b61df9ca32",
      "topic": "Supply-Weather Impact",
      "event_name": "Midwest Drought Threatens Corn Yields",
      "event_date": "2025-06-29T11:00:00",
      "summary": "Severe drought conditions in the US Midwest are raising concerns about corn crop yields, with reports of entire fields submerged underwater.",
      "ticker": "ZC_COM",
      "last_updated": "2025-06-29T11:30:00",
      "direction_reasoning": "",
      "direction": "Bullish"
    },
    {
      "id": "45e8d8bc-ed27-43e7-b606-b8f16f35d055",
      "topic": "Demand-Trade Dynamics",
      "event_name": "China Increases Soybean Import Quotas",
      "event_date": "2025-06-28T15:00:00",
      "summary": "China announces increased soybean import quotas for Q3, signaling stronger demand from the world's largest buyer.",
      "ticker": "ZS_COM",
      "last_updated": "2025-06-28T15:46:02",
      "direction_reasoning": "",
      "direction": "Bullish"
    }
  ],
  "total": 2,
  "limit": 10,
  "offset": 0,
  "has_more": false
}

Output

Asset Event Name Topic Date Latest Headline Summary Sources Sentiment Type
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