Alternative data datasets
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Compilation of well and production records featuring the most precise interpreted geological tops and positional information.
Maritime shipment tracking system delivering near real-time cargo data for individual vessels.
S&P Global Energy scenario datasets consolidated for streamlined analytics and faster interpretation.
An LNG Cargo dataset containing core information about worldwide liquefied natural gas shipment movements.
Global freight rate evaluations and marine fuel pricing across multiple commodities.
Information on greenhouse gas emissions originating from upstream operations.
Past and projected weather observations consolidated into a single, regularly refreshed resource.
Generates in-house indicators of credit exposure and trend strength derived from the S&P Global CDS Pricing collection.
Tools for evaluating the credit exposure associated with a counterparty.
An alternative data feed delivering utility as both a sustainability measure and a risk signal for investment professionals.
A structured, multi-level categorization framework distinguishes between ETFs and ETNs through style-based groupings.
An in-depth overview of a firm's employee structure, hiring patterns, and key human-resources indicators.
Independent and open municipal bond price feeds are supplied to assist with transactions, valuation work, and related analysis.
Worldwide supply chain intelligence covering in excess of nine million firms along with more than two billion shipping entries.
Evaluates how individual companies are vulnerable to seven physical hazards linked to climate change.
Applies natural language processing to earnings call transcripts in order to surface KPI-related signals such as risk factors, strategic pivots, and pricing pressures.
Multiple credit risk evaluations are combined into one consolidated score that summarizes an entity's credit standing.
Worldwide estimates derived from modeling, projections, and analytical research efforts.
Company-level environmental, social, and governance ratings, including separate scores for each pillar and the methodology used to derive them.
A broad set of metrics addressing multiple dimensions of supply chain activity.
NLP-derived sentiment ratings and behavioral indicators extracted from corporate transcripts.
Offers full environmental performance records covering more than 16,800 organizations.
Enrichment attributes covering population, earnings, household composition, consumer characteristics, and geographic context at the ZIP code level for use within Snowflake analytics.
A consumer credit-profile dataset capturing earnings, FICO-style ratings, open credit lines, and home-buying history.
Text of SEC filings pulled from EDGAR spanning millions of records in English (Apache 2.0): 10-K, 10-Q, 8-K, annual reports and exhibits, tagged for text-generation and classification. A practical base corpus for earnings- and filings-driven signals, from risk factors and MD&A to management commentary.
Split/bonus/dividend-adjusted daily prices, earnings, insider trades, flows
Trading calendars populated by detected corporate events including investor relations conferences and public filing dates.
Stock-symbol-linked customer feedback and earnings call texts are processed with natural language processing to derive sentiment indicators, helping assess ESG exposure and brand perception.