Regulatory Filing Data
Buy and sell regulatory filing data data. SEC filings, FINRA reports, OCC call reports — regulatory AI needs real structured filing data.
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Find Me This Data →Overview
What Is Regulatory Filing Data?
Regulatory filing data comprises structured, machine-readable documents submitted to financial regulators such as the SEC, FINRA, and OCC. These filings include SEC Forms (ADV, D, 13F, N-1A), XBRL-formatted financial statements, and pension/endowment investment disclosures. The SEC has mandated eXtensible Business Reporting Language (XBRL) for public company financial statements, enabling automated analysis and structured data extraction. This data powers compliance systems, institutional research, allocator intelligence, and AI-driven financial analysis platforms by providing comprehensive disclosure of asset holdings, fee structures, personnel changes, and disciplinary histories.
Market Data
127% annually
AI Data Extraction Investment Growth (2020-2024)
Source: ScrapeGraphAI
15-25x
AI-Powered Data Company Revenue Multiples
Source: ScrapeGraphAI
$8.7 billion
Total AI Data Extraction Investment (2020-2024)
Source: ScrapeGraphAI
$45 million
Average AI Data Extraction Deal Size
Source: ScrapeGraphAI
Who Uses This Data
What AI models do with it.do with it.
Institutional Investment Research
Asset managers, hedge funds, and quantitative trading firms use 13F filings to track equity holdings of large institutional investors and identify emerging investment signals. Historical filing data enables backtesting of strategies.
Allocator Intelligence & Due Diligence
Limited partners research registered investment advisors through Form ADV filings to evaluate assets under management, fee structures, advisory personnel, and disciplinary history. Form D filings reveal newly formed private fund vehicles before they appear in other databases.
Compliance & Risk Management
Banks, asset managers, and regulatory bodies use structured filing data for audit trails, risk model training, and compliance verification across jurisdictions. XBRL formatting enables automated regulatory reporting and cross-border data standardization.
Pension & Endowment Analysis
Researchers track public pension board minutes, university endowment investment reports, and 990-PF private foundation filings to identify allocator relationships, fee structures, and strategic commitments.
What Can You Earn?
What it's worth.worth.
Historical Filing Archives (Broad Coverage)
Varies
Licensing SEC EDGAR data, 13F datasets, or Form ADV archives to institutional research platforms; pricing typically volume and update frequency dependent.
Structured XBRL Financial Data
Varies
Extracted and standardized SEC filing data (XBRL format) sold to fintech platforms, compliance systems, and trading algorithms; premium pricing for real-time or pre-release access.
Alternative Allocator Intelligence
Varies
Curated regulatory filing analysis on pensions, endowments, foundations, and sovereign wealth fund disclosures; higher-value for LP research platforms and family office networks.
What Buyers Expect
What makes it valuable.valuable.
Structured, Machine-Readable Format
Data must be delivered in standardized formats (XBRL, JSON, CSV with proper schemas). Unstructured web portals or Excel downloads do not meet institutional automation requirements.
Historical & Complete Coverage
Buyers require comprehensive historical filing data with date-range filtering capabilities. Institutional strategies need years of backtesting data; compliance workflows demand audit trails and full coverage of reportable entities.
Timeliness & Update Frequency
Data must be current with documented lag times from source submission to availability. Real-time or daily updates are required for trading and compliance applications; weekly updates minimum for research workflows.
Accuracy & Regulatory Compliance
Extracted data must match original filings exactly. Privacy regulations (GDPR, US state laws) and SEC rules govern contact data and personal information; compliance costs are high for cross-jurisdictional datasets.
API / Programmable Access
Enterprise buyers require scalable, automated data access via APIs with query parameters. Static downloads or portal-based access cannot serve institutional workflows at scale.
Companies Active Here
Who's buying.buying.
Monitors SEC Form ADV, Form D, and 13F filings continuously to extract mandate signals, personnel changes, and entity formations for allocator research.
Operates EDGAR platform and mandates XBRL filing format for public company financial statements to enable structured data access and automated analysis.
Maintains Form 1 regulatory filings requiring International Financial Reporting Standards (IFRS) adoption for investment industry member reporting.
Consume 13F, ADV, and Form D data for equity position tracking, competitor intelligence, and fund formation signals.
FAQ
Common questions.questions.
What are the main types of SEC filings available for data licensing?
The primary SEC filing types include Form ADV (investment advisor disclosures of assets, fees, and personnel), Form D (private fund registrations), 13F (quarterly equity holdings for managers above $100 million in reportable assets), and N-1A (mutual fund registration statements). XBRL-formatted financial statements from public companies are also standardized and machine-readable.
Why is XBRL format important for regulatory filing data?
XBRL (eXtensible Business Reporting Language) is a machine-readable structured format mandated by the SEC for public company financial statements. It enables automated analysis, reduces manual interpretation, and allows stakeholders (investors, regulators, platforms) to easily search and compare financial data across companies and time periods.
What gaps exist in 13F filing coverage?
13F filings exclude private fund allocations, fixed income holdings, and equity positions below the reporting threshold. Family offices and other managers holding under $100 million in reportable equities will not appear in 13F data, even if they manage significantly larger total assets.
How are AI-powered data extraction companies outpacing traditional API providers?
AI data extraction companies are growing at 127% annually and commanding 15-25x revenue multiples, compared to traditional data providers at 3-5x multiples growing 15-25% annually. Enterprises are shifting budgets toward AI-powered solutions for faster, more automated regulatory filing analysis and compliance workflows.
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