An AI-driven experience management platform for enterprises to collect multi-channel feedback, analyze structured and unstructured data, and deliver actionable insights.
Nomas
$29/moStarting price
84Monthly visits
0Popularity
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?
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.
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.
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