Nomas

Structured SEC financial data for research, APIs, and AI agents

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About Nomas

Nomas provides parsed, normalized SEC financial datasets derived from filings such as 10-K, 10-Q, 8-K, 13F, Form 4, and FTD records. The data is stored in a searchable database rather than raw EDGAR HTML, enabling direct queries without live crawling. Records include company fundamentals, insider transactions, institutional holdings, and failure-to-deliver data, all formatted for machine readability. The service offers both a research interface and API endpoints for integration with AI agents, retrieval-augmented generation systems, and custom applications. Users can access historical snapshots, bulk exports, and real-time updates through tiered subscription plans. Typical use includes financial research, AI model training, and automated analysis of corporate filings.

Key features

Company fundamentals and balance-sheet data
Insider trading records (Forms 3, 4, 5)
13F institutional holdings with holder details
Failure-to-deliver (FTD) settlement data
8-K, 10-K, 10-Q, 13D/G, 144, Form D, and proxy statements
MCP server and REST API endpoints
Bulk export and JSONL sample exports
Live and historical dataset snapshots

Use cases

AI agent financial analysis using structured SEC data
Research platform integration for institutional users
Training corpora preparation for financial LLMs

Pros

Structured, normalized SEC data from multiple filing types
API and MCP endpoints for AI agents and retrieval systems
Historical coverage with ingest timestamps
Bulk export and sample JSONL formats available
Tiered pricing for individuals and commercial use

Cons

No free tier beyond limited company-facts history
Subscription required for full access
Commercial license needed for redistribution

Frequently asked questions about Nomas

What is Nomas and what kind of data does it provide?

Who is Nomas designed for?

Nomas is designed for researchers, AI agents, and developers who need structured SEC data for financial research, AI model training, or automated analysis of corporate filings. It supports both individual users and builders requiring API access.

How does Nomas differ from raw EDGAR data?

Unlike raw EDGAR HTML, Nomas stores data in a parsed, machine-readable format that allows direct queries and eliminates the need for live crawling. This makes it easier to integrate with AI systems and retrieval-augmented generation workflows.

What types of records are included in Nomas?

Nomas includes company fundamentals, insider transactions, institutional holdings, failure-to-deliver data, and parsed filings such as 8-K, 10-K, 10-Q, 13D/G, 13F, and Form 4 among others.

Can I access Nomas data via an API?

Yes, Nomas offers API endpoints for integration with AI agents, retrieval-augmented generation systems, and custom applications. API access includes tiered usage limits based on subscription plans.

How do I get started with Nomas?

Users can sign up for a free account to access limited research features or subscribe to a paid plan for full access to the research interface, API endpoints, and historical data coverage. The platform provides sample exports and API documentation to assist with integration.