HData
HData is the AI-native operating system for energy regulation. Founded in 2018 by Hudson Hollister, the platform turns disconnected federal and state regulatory filings, dockets, and proceedings from sources such as FERC, EIA, and state utility commissions into standardized, citable, machine-readable data. It combines centralized regulatory data, domain-specific AI trained on more than 20 million citable documents, and purpose-built tools — including HData Analytics, Regulatory Intelligence, Gateway for FERC data extraction, and Data Request Management — to help utilities, regulators, advocates, advisory firms, financial institutions, and large energy customers accelerate rate cases, resource planning, compliance reporting, and policy research.
HData is profiled on the APIs.io network. Tagged areas include Company, Energy, Regulatory, Utilities, and Regulatory Intelligence.
HData’s developer surface includes engineering blog, support, signup flow, and 13 more developer resources.
Kin Score
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 1
Portal, sign-up, and the first successful call
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Access & Security 3
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 5
The organization behind the API