AI Ready Data

The AI Ready Data dataset encompasses a comprehensive array of textual content across publications produced by in-house editorial and research teams, including market reports, news articles, rationales, commentaries, fundamentals analyses, outlooks, and more - all in an LLM-friendly format prepared for seamless integration with AI systems.

Customers can effortlessly leverage AI Ready Data for their Retrieval-Augmented Generation (RAG) solutions, enhancing their analytical capabilities and driving informed decision-making. This dataset removes restrictions as you integrate your choice of large language models (LLMs), to uncover patterns, correlations, and insights across commodities. Our flexibility aids processing and understanding data to suit your organizations, and you can utilize the provided data embeddings or set your own as per your preference. Additionally, you can integrate with your own vector database and leverage various internal and external data sources to enrich the dataset.

This dataset includes:

  • Unstructured data in an AI-ready format broken down into documents and segments with LLM-friendly metadata
  • Flexible data delivery
  • Easy customization of your own search and relevancy-boosting algorithms
  • Ease of discovery of relevant content for your end users

Vendor information

At S&P Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Commodity Insights’ coverage includes oil and gas, power, petrochemicals, metals, agriculture and shipping.
  • Primary Entity TypeEnergy Transition
  • Geographic CoverageGlobal
  • Industry CoverageEnergy and Utilities
  • History Initiated2020
  • Earliest Significant Coverage2020
  • Point In TimeYes
  • Data SourceS&P Global Energy
  • Field Count10s
  • Delivery ChannelCloud
  • Delivery PlatformAWS Data Exchange, Alibaba Cloud OSS, Databricks Delta Sharing, Google BigQuery, Microsoft Copilot, Snowflake
  • Reporting FrequencyAd Hoc
  • Dataset LatencyNear Real Time

Sample Data

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Data Dictionary

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