NatGasHub.com Launches gINDEX Data Platform for North American Gas Market

June 02, 2026
NatGasHub.com has launched gINDEX, an AI-assisted and human-verified data platform that consolidates Index of Customers information for North American natural gas market participants, providing standardized data through a central website and API.

NatGasHub.com announced in a press release the launch of gINDEX, a Consolidated Index of Customers data platform for natural gas market participants across North America. The platform gathers publicly available Index of Customers data using artificial intelligence and verifies it through human review.

gINDEX is designed to replace manual monitoring and data scraping across more than 165 websites by offering standardized data through a web portal and an API. It includes information on shippers, DUNS numbers, volumes, rate schedules, receipt and delivery locations, and other line items for both the United States and Canada.

The platform provides access to historical data dating back to 2020 and includes reference data for over 35,000 pipeline locations and 3,000 counterparty DUNS numbers. Data is updated quarterly, with each update reviewed for accuracy. The product subscription includes enterprise-wide access, technical support, Excel templates, and an API library available in more than 30 programming languages.

According to NatGasHub.com, gINDEX is NAESB certified and includes a money-back guarantee if it fails to reduce data processing time by at least 80%. The company also guarantees full data accuracy for the platform.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Finance AI Weekly

Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more