The Historical Commodity Food Price API is designed to handle the domain of agricultural commodities, specifically focusing on food price indices. It processes a variety of data fields including commodity types, historical price values, and indices for different food categories such as grains, meats, fruits, and beverages. The API utilizes domain-specific terminology such as 'Commodity Food Price Index' and 'Commodity Agricultural Raw Materials Index', adhering to established standards for commodity pricing. Data is structured in a JSON format, with fields for commodity name, price, date, and index type, allowing for easy integration and analysis. Technical requirements include secure access protocols and adherence to data accuracy standards, ensuring reliable information retrieval. The output schema is designed to provide clear and concise data, facilitating users' ability to analyze trends over time and make informed decisions based on historical price movements.
[
{
"Aug 2002": 61.5
}
]
curl --location --request POST 'https://zylalabs.com/api/10222/historical+commodity+food+price+api/19661/get+historical+food+commodity+price' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"month":"Required","year":"Required"}'
[
{
"Month": "Aug 2002",
"Price": "61.50",
"Change": "-0.18%"
}
]
curl --location --request POST 'https://zylalabs.com/api/10222/historical+commodity+food+price+api/19662/get+historical+food+commodity+price+change' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"date_1":"Required","date_2":"Required","date":"Required"}'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The API provides historical price indices for various food commodities, including grains, meats, fruits, and beverages. It includes data fields such as commodity name, price, date, and index type.
The data is structured in a JSON format, which allows for easy integration and analysis. Each data entry includes fields for commodity name, price, date, and index type.
Users can leverage the API to track market trends and fluctuations in food commodity prices, conduct historical analysis for research, and make informed decisions in agricultural investments or pricing strategies.
The core value proposition lies in its ability to provide reliable and accurate historical price data for food commodities, enabling users to analyze trends over time and make data-driven decisions.
The output schema includes fields such as 'commodity name', 'price', 'date', and 'index type', allowing users to easily access and analyze relevant information regarding food commodity prices.
This endpoint returns historical price data for specific food commodities, providing the price index for a selected month and year. For example, a response might show the price for "Aug 2002" as 61.5.
The response includes fields such as "Month," "Price," and "Change." For instance, it may return data like "Month": "Aug 2002", "Price": "61.50", and "Change": "-0.18%".
The response data is structured as a JSON array, with each entry containing key-value pairs. For example, the historical price change response includes a structured object for each month queried.
Users can specify parameters such as the month and year for which they want to retrieve historical price data. For example, a request could specify "Aug 2002" to get data for that month.
This endpoint provides information on the price index for a specific month, including the price value and the percentage change compared to the previous month, allowing users to analyze price trends.
Users can analyze the historical price trends over time, compare price changes across different months, and use this data for market analysis or forecasting in agricultural sectors.
The API aggregates data from established agricultural commodity markets and databases, ensuring that the information reflects accurate historical price indices for food commodities.
Data accuracy is ensured through rigorous quality checks and adherence to established standards for commodity pricing, allowing users to rely on the information for informed decision-making.
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