{"categories":[{"label":"WWW/HTTP","url":"https://skillfed.io/packages/category/internet-www-http/7"}],"enrichment":{"capability":"Python client library for the S&P Global Commodity Insights REST API, returning market data, forward curves, price forecasts, and energy analytics as pandas DataFrames.","skillfed_tags":["commodity-markets","energy-data","api-client"],"use_cases":["Fetch current crude oil assessments and forward curves for a portfolio of trading symbols in a single DataFrame.","Build automated energy price forecasts by querying monthly and annual predictions across multiple sectors and regions.","Retrieve refinery operational data (yields, runs, outages) and refining margins for a specific location or time period.","Search and download market commentary, subscriber notes, and energy insights articles filtered by keyword and date range.","Construct historical demand and supply models by querying archived scenarios and reference data for countries and products."],"what_it_does":"SPGCI is a Python wrapper around the S&P Global Commodity Insights REST API, designed to simplify access to commodity market data, energy forecasts, and refining analytics. It handles authentication token generation automatically, returns results as pandas DataFrames by default, and supports optional auto-pagination and type coercion for date fields. The library covers multiple datasets including market assessments, forward curves, energy price forecasts, refinery data, world oil supply, LNG analytics, and market insights.\n\nThe package is built on standard dependencies (pandas for data handling, requests for HTTP calls, tenacity for retry logic) and accepts native Python types\u2014lists and pandas Series are automatically converted to filter expressions. It requires API credentials from S&P Global and targets developers working with commodity markets, energy trading, or supply-chain analytics who want programmatic access to Platts data without writing raw HTTP clients.","worth_installing":"Yes. The package is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive license. Install it if you need programmatic access to S&P Global Commodity Insights data and have valid API credentials; the pandas integration and automatic token handling make it substantially easier than calling the REST API directly."},"id":"spgci","links":{"html":"https://skillfed.io/packages/spgci","md":"https://skillfed.io/packages/spgci.md","pypi":"https://pypi.org/project/spgci/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-11","license_spdx":null,"license_treatment":"permissive","name":"spgci","python_support":"supports_current","summary":"SPGCI is an API Client for the S&P Commodity Insights REST API"},"popularity":{"monthly_downloads":90296,"position":13604,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.0.100"}