Turn raw SEC filings into actionable insights ready for analysis
Use case for investment research & analytics
Your challenge
Better insights come from better data. Without it, research misses key signals and analytics lose their edge.
Investment analysts, quant teams, and data‑driven platforms depend on deep, accurate SEC filings to fuel models, compare companies, and surface alpha opportunities. Yet raw filings are difficult to parse, XBRL structures are inconsistent, and manual extraction wastes valuable time. FinFeedAPI provides clean, structured filings, metadata, and financials so your research and analytics stay sharp, scalable, and ahead of the market.
Developer challenges
Unstructured filings slowing down data pipelines
Inconsistent XBRL formats across issuers
Manual extraction of key sections (e.g., MD&A, Risk Factors)
High engineering cost for maintaining custom scrapers
Difficulty integrating filings data into quantitative models
Accelerate Equity Research
- Search and retrieve filings by ticker, CIK, form type, or date in seconds.
- Integrate rich metadata (filing date, form type, document references) directly into research workflows.
Extract Insights from Key Sections
- Pull Item 1 Business, Item 7 MD&A, or Item 8 Financial Statements as structured text.
- Eliminate manual document parsing and focus on analysis.
Feed Clean Financials into Models
- Convert raw XBRL into standardized JSON for income statements, balance sheets, and cash flow.
- Power screens, scoring algorithms, and predictive analytics with consistent data.
Compare and Benchmark with Ease
- Uniform data lets you track trends across issuers, sectors, or time periods.
- Quickly surface differences in disclosures or risk factors between peers.
Save Time and Reduce Complexity
- One RESTful API replaces multiple scrapers or legacy data feeds.
- Simplifies integration for both small research teams and large analytics platforms.