Argus Media AI-Ready Data

Argus AI‑Ready Data enables teams across the organisation to access trusted, structured commodity intelligence faster and with less friction. It reduces time spent searching and preparing data, while improving confidence, consistency and speed in decision‑making across research, analysis and strategy.

Our AI‑Ready Data is structured and machine‑readable, designed to integrate effortlessly with enterprise data and AI ecosystems. This enables customers to easily feed clean, standardised datasets into predictive models, to power forecasting, trend analysis and scenario planning.

With Argus’ recognized methodologies, every data point reflects verified market activity, rigorous editorial oversight, and impartial standards. This ensures that AI models built on Argus data produce robust, defensible, and actionable outputs.

Snowflake delivery ensures Argus AI‑Ready Data is instantly accessible, analytics‑ready, and designed to integrate effortlessly into your cloud environment.

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## **The Commodities We Cover**

- Crude
- Oil Products
- LPG/NGLs
- Gas and Power
- Coal
- Net Zero
- Chemicals
- Fertilizers
- Metals
- Agriculture

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## Key Features

**Scenario Planning**

Argus’ AI‑Ready Data and semantic search capabilities give teams the ability to explore multiple market scenarios in minutes. ​Users can test assumptions, compare historical patterns, and generate structured insights that support more confident strategic planning.

**Agent Compatible**

Argus' AI‑Ready Data works seamlessly with AI assistants and enterprise tools, making it easy to find and use trusted Argus information in automated workflows. ​This ensures prices and analysis are delivered with the right context and permissions, so teams can rely on the results with confidence.

**Market Intelligence on Demand**

AI-Ready Data enables instant access to decades of news, market commentary, and insights. ​Users can surface relevant developments with natural‑language prompts, reducing time spent searching and increasing time spent interpreting what matters. Market monitoring becomes proactive, always‑on, and tailored to the user’s context.

**Research Acceleration**

Researchers can rapidly summarise large volumes of articles, extract key themes, and trace connections across prices, publications, and market events. ​AI‑powered semantic search capabilities streamline the entire research cycle. This dramatically shortens the path to high‑quality analysis without sacrificing depth or rigor.​

**Communication Support**

AI-Ready Data helps teams translate complex market movements into clear, actionable messages. ​Users can generate summaries, talking points, and visual outputs directly from prompts, ensuring consistent and credible communication across an organisation.

**Risk Assessments**

Structured, cross‑linked datasets and fast AI‑assisted retrieval enables deeper evaluation of supply, pricing and geopolitical risks. Analysts can quickly find historical patterns, related market events, and analysis to assess exposure more holistically. This empowers organizations to identify threats sooner and make better‑informed decisions under uncertainty.

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## **Customers We Support**

**Trading Managers**

- Use structured pricing, news and analysis to respond faster to market volatility and emerging risks.
- Test scenarios and assess exposure quickly using AI‑enabled workflows without manual data preparation.
- Maintain continuous market awareness through trusted, real‑time commodity intelligence.

**Analysts**

- Accelerate research by quickly surfacing relevant market developments across pricing, news and commentary.
- Connect prices, events and trends to produce deeper, more consistent analysis at scale.
- Spend less time sourcing and cleaning data, and more time generating insight.

**Corporate Strategists**

- Evaluate strategic options using AI‑ready market insight to understand risks and opportunities.
- Explore “what‑if” scenarios informed by historical precedents and market dynamics.
- Deliver clear, credible insights to senior stakeholders supported by trusted data.

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## **How To Gain Access**

To gain access to the Argus Media Jet Fuel prices you will need to:

1. Click the 'Request Access' button

2. Outline your request, including your information and interest areas

3. We will reach out directly

原始信息汇总

数据集概述：Argus Media Ai-Ready Data

该数据集由 Argus Media 提供，旨在为高级分析和人工智能应用提供结构化、机器可读的商品情报数据，减少数据搜索和准备时间，提升决策的速度与一致性。

一、数据集核心特点

• AI就绪数据结构化：数据集采用结构化、机器可读格式，可轻松集成到企业数据与AI生态系统中，用于预测模型、趋势分析和情景规划。
• 数据可靠性：每个数据点均经过Argus公认的方法论验证，包含市场活动核实、编辑监督和公正标准，确保AI模型输出稳健、可辩护且可操作。
• 云端即时访问：通过Snowflake交付，数据即时可用、分析就绪，可无缝集成至云环境。

二、覆盖的商品领域

数据集涵盖以下十大商品领域：

1. 原油（Crude）
2. 油品（Oil Products）
3. 液化石油气/天然气液体（LPG/NGLs）
4. 天然气与电力（Gas and Power）
5. 煤炭（Coal）
6. 净零（Net Zero）
7. 化学品（Chemicals）
8. 肥料（Fertilizers）
9. 金属（Metals）
10. 农业（Agriculture）

三、关键功能与应用场景

功能	描述
情景规划	结合语义搜索能力，可在数分钟内探索多种市场情景，测试假设并生成结构化洞察。
智能体兼容	可与AI助手和企业工具无缝协作，实现自动化工作流中的信息查找与使用，确保上下文与权限正确。
按需市场情报	通过自然语言提示即时访问数十年新闻、市场评论和洞察，实现主动式市场监控。
研究加速	可快速汇总大量文章、提取关键主题，并追踪价格、出版物与市场事件之间的关联。
沟通支持	帮助团队将复杂市场动态转化为清晰、可操作的摘要、谈话要点和可视化输出。
风险评估	利用结构化、交叉关联的数据集和快速AI辅助检索，深入评估供应、定价和地缘政治风险。

四、主要业务需求与应用

1. 定价分析：结合权威基准与机器学习，识别非线性价格关系和历史时间序列中的新兴模式。
2. 市场分析：通过包含价格评估的丰富数据集，获得更深入的市场动态洞察。
3. 风险分析：利用无偏见、可信赖的数据进行预测性风险模拟和压力测试。
4. 供应链：通过AI工具预判物流挑战并优化采购，提高抵御中断和区域失衡的能力。
5. 定量分析：构建标准化的经济计量和统计模型，消除数据准备低效问题。
6. 机器学习：提供结构化、特征丰富的数据集，加速AI应用。

五、使用示例

数据集提供了多个SQL查询示例，展示如何直接使用数据：

• 历史价格趋势：追踪特定价格评估ID的价格序列随时间的变化。
• 波动率指标：计算过去30天特定价格评估的平均价格和波动率（标准差）。
• 现货与远期价格对比：比较现货价格与不同远期年份的价格，用于规划。
• 按交付模式分析定价差异：评估不同交付模式对价格的影响。
• 检查数据新鲜度：获取每个价格评估的最新发布日期。
• 检查产品数据可用性：验证数据的完整性，统计每个价格评估的观测数量和时间范围。

六、数据访问与交付

• 交付方式：通过Snowflake市场平台交付，每日刷新。
• 获取条件：需点击“Request Access”按钮，提交请求并说明兴趣领域后由供应商联系。
• 支持信息：
  • 销售联系：[e-mail]
  • 支持链接：https://www.argusmedia.com/en/about-argus/training-and-support

七、目标用户

该数据集主要服务于以下三类用户：

用户角色	主要获益
交易经理	快速响应市场波动、测试情景、通过AI工作流持续获取市场情报。
分析师	加速研究、关联价格与事件，产出更深入、一致的分析。
企业战略师	评估战略选项、探索“假设”情景，向高级利益相关者提供可信洞察。

八、数据集分类标签

• AI & ML
• Energy
• Financial
• Machine Learning
• Market Analysis
• Pricing Analysis
• Quantitative Analysis
• Risk Analysis
• Supply Chain