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Nomas AI Review

Nomas AI provides clean, structured SEC data for research, APIs, and agents, ensuring accurate and reliable data retrieval through standardized formats.

shipped Aug 23, 2026codefreemium
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Nomas AI — product screenshot

Why it matters

1Offers a freemium pricing model with Free, Pro ($29/month), and API ($99/month) tiers.
2Provides access to clean, structured SEC data, including real-time filings and parsed historical data.
3Features an API with documentation available at https://nomas.fyi/api-docs.
4Supports 1,000 free requests per day on its free tier.

About Nomas AI

Business Model
Subscription SaaS
Usage Pricing
$0.003/request per request
Free Credits
1,000 requests/day
Platforms
Web, API
Target Audience
Researchers, analysts, developers

Pricing Plans

Free
$0 / monthly
  • Limited company-facts history
  • 13F by security: holder names; amounts and charts blurred
  • Search and research demo
  • JSONL sample export
Pro
$29 / monthly
  • Full research UI: facts, insiders, 13F, FTD
  • 13F by security: full holder list with amounts
  • Complete historical coverage
  • API: 300 requests/min, 10,000/day
API
$99 / monthly
  • Everything in Pro
  • RAG endpoints and bulk export routes
  • API: 1,000 requests/min, 100,000/day
  • Commercial internal use (no redistribution)

Cost Examples

  • 1 API request: $0.003

Specs

API Available

Yes, public API

overview

What is Nomas AI?

Nomas AI is a financial data platform developed by Nomas that enables researchers, developers, and financial analysts to access clean, structured SEC data. It provides comprehensive financial datasets in standardized formats, ensuring accurate and reliable data retrieval for various applications. The platform is designed to streamline the process of obtaining and utilizing SEC filings, offering both real-time and historical data.

features

Key Features of Nomas AI

Nomas AI offers a suite of features designed to provide comprehensive and structured SEC data, facilitating financial research and analysis. These capabilities ensure data accuracy, standardization, and ease of integration for various enterprise applications.

  • Clean, structured SEC data for research and analysis.
  • Comprehensive financial datasets, including all SEC filings.
  • Standardized data formats for consistent data retrieval.
  • Access to real-time SEC filings as they are published.
  • Parsed historical data for in-depth trend analysis.
  • API access for seamless integration with external systems and agents.
  • Normalized SEC datasets to reduce data inconsistencies.

use cases

Who Should Use Nomas AI?

Nomas AI is primarily designed for professionals and organizations requiring reliable, structured access to SEC financial data. Its capabilities support a range of financial and research-oriented applications.

  • Researchers: For in-depth financial research and academic studies requiring accurate SEC data.
  • Financial Analysts: To perform data analysis, identify trends, and inform investment decisions.
  • Developers: For building financial tools, applications, and automated reporting systems via API.
  • Institutional Investors: For tracking company performance and compliance through standardized datasets.
  • Data Scientists: To integrate clean SEC data into machine learning models and predictive analytics.

how to use

How to Use Nomas AI

To begin using Nomas AI, users can register for an account on the Nomas.fyi website and select a suitable pricing tier. The platform provides immediate access to its web interface and API documentation for integration.

  • 1Navigate to the Nomas AI website (nomas.fyi) and create an account.
  • 2Select a pricing tier (Free, Pro, or API) based on data access and request volume requirements.
  • 3Access the web interface to browse and download structured SEC data directly.
  • 4For programmatic access, consult the API documentation at https://nomas.fyi/api-docs.
  • 5Integrate the Nomas AI API into custom applications or agents using provided endpoints.
  • 6Utilize the standardized data formats for financial research, analysis, or automated reporting.

pricing

Nomas AI Pricing & Plans

Nomas AI operates on a freemium model, offering multiple tiers to accommodate varying user needs, from individual researchers to enterprise-level API integrations. All tiers include usage-based pricing for requests.

  • Free Tier: $0 per month, includes 1,000 requests per day. Additional requests are $0.003 each.
  • Pro Tier: $29 per month, designed for individual professionals requiring higher limits.
  • API Tier: $99 per month, intended for developers and organizations needing extensive API access and integrations.
  • Usage Pricing: All requests beyond free tier limits or within paid tiers are charged at $0.003 per request.

Pros

  • +Provides pre-cleaned and structured SEC data, reducing processing overhead for users.
  • +Offers a comprehensive financial dataset, including both real-time and historical filings.
  • +Features a robust API for seamless integration into custom applications and agents.
  • +Includes a freemium tier with 1,000 free requests per day, allowing initial exploration.
  • +Ensures data accuracy and reliability through standardized formats.
  • +Offers a unified platform for AI security posture management, access control, detection, and red teaming.

Cons

  • Usage-based pricing ($0.003/request) can accumulate costs for high-volume users beyond free limits.
  • Specific user reviews for the enterprise AI security platform are not publicly available.
  • Requires an understanding of SEC filing structures for optimal utilization, despite data cleaning.
  • The platform's focus on SEC data may limit its utility for broader financial data needs outside of regulatory filings.

Similar Tools

Nomas AI vs Competitors

Nomas AI differentiates itself by providing pre-cleaned and structured SEC data, simplifying the data consumption process compared to raw data sources or libraries requiring local processing. Its unified platform approach covers discovery, posture management, red teaming, and runtime protection within a single platform.

1
SEC EDGAR API

Provides direct, official access to raw and structured XBRL data from the SEC, requiring no API key or registration.

While completely free, it provides data in its raw or semi-structured XBRL format, requiring users to implement their own parsing and standardization logic, unlike Nomas AI which delivers pre-cleaned and structured data.

2
EdgarTools

A Python library that parses SEC EDGAR filings into structured, typed Python objects and pandas DataFrames, simplifying data extraction for various filing types.

EdgarTools is a library you run locally, offering deep control over parsing and data handling, but requires Python programming skills and local setup, whereas Nomas AI is a hosted platform with an API.

3
XBRL US API

Provides a unified API to access structured XBRL data from the XBRL US Public Filings Database, updated frequently from EDGAR.

It offers structured XBRL data via an API, similar to Nomas AI's output, but focuses specifically on XBRL data and requires obtaining a free API key, potentially offering less comprehensive data types than Nomas AI's broader 'clean, structured SEC data'.

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