edgartools — SEC EDGAR Data
SkillCommerce & financeLets your agent pull and analyze SEC filings, financial statements, insider trades, and institutional holdings from EDGAR.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the edgartools — SEC EDGAR Data skill
About this capability
Python library for accessing, analyzing, and extracting data from SEC EDGAR filings. Use when working with SEC filings, financial statements (income statement, balance sheet, cash flow), XBRL financial data, insider trading (Form 4), institutional holdings (13F), company financials, annual/quarterly
What this skill tells your AI
The instructions your AI receives, as published by foryourhealth111-pixel/vibe-skills in bundled/skills/edgartools/SKILL.md and read by ahel’s review.
Python library for accessing all SEC filings since 1994 with structured data extraction.
Authentication (Required)
The SEC requires identification for API access. Always set identity before any operations:
from edgar import set_identity
set_identity("Your Name your.email@example.com")
Set via environment variable to avoid hardcoding: EDGAR_IDENTITY="Your Name your@email.com".
Installation
uv pip install edgartools
# For AI/MCP features:
uv pip install "edgartools[ai]"
Core Workflow
Find a Company
from edgar import Company, find
company = Company("AAPL") # by ticker
company = Company(320193) # by CIK (fastest)
results = find("Apple") # by name search
Get Filings
# Company filings
filings = company.get_filings(form="10-K")
filing = filings.latest()
# Global search across all filings
from edgar import get_filings
filings = get_filings(2024, 1, form="10-K")
# By accession number
from edgar import get_by_accession_number
filing = get_by_accession_number("0000320193-23-000106")
Extract Structured Data
# Form-specific object (most common approach)
tenk = filing.obj() # Returns TenK, EightK, Form4, ThirteenF, etc.
# Financial statements (10-K/10-Q)
financials = company.get_financials() # annual
financials = company.get_quarterly_financials() # quarterly
income = financials.income_statement()
balance = financials.balance_sheet()
cashflow = financials.cashflow_statement()
# XBRL data
xbrl = filing.xbrl()
income = xbrl.statements.income_statement()
Access Filing Content
text = filing.text() # plain text
html = filing.html() # HTML
md = filing.markdown() # markdown (good for LLM processing)
filing.open() # open in browser
Key Company Properties
company.name # "Apple Inc."
company.cik # 320193
company.ticker # "AAPL"
company.industry # "ELECTRONIC COMPUTERS"
company.sic # "3571"
company.shares_outstanding # 15115785000.0
company.public_float # 2899948348000.0
company.fiscal_year_end # "0930"
company.exchange # "Nasdaq"
Form → Object Mapping
| Form | Object | Key Properties |
|---|---|---|
| 10-K | TenK | financials, income_statement, balance_sheet |
| 10-Q | TenQ | financials, income_statement, balance_sheet |
| 8-K | EightK | items, press_releases |
| Form 4 | Form4 | reporting_owner, transactions |
| 13F-HR | ThirteenF | infotable, total_value |
| DEF 14A | ProxyStatement | executive_compensation, proposals |
| SC 13D/G | Schedule13 | total_shares, items |
| Form D | FormD | offering, recipients |
Important: filing.financials does NOT exist. Use filing.obj().financials.
Common Pitfalls
filing.financials→ AttributeError; usefiling.obj().financialsget_filings()has nolimitparam; use.head(n)or.latest(n)- Prefer
amendments=Falsefor multi-period analysis (amended filings may be incomplete) - Always check for
Nonebefore accessing optional data
Reference Files
Load these when you need detailed information:
- companies.md — Finding companies, screening, batch lookups, Company API
- filings.md — Working with filings, attachments, exhibits, Filings collection API
- financial-data.md — Financial statements, convenience methods, DataFrame export, multi-period analysis
- xbrl.md — XBRL parsing, fact querying, multi-period stitching, standardization
- data-objects.md — All supported form types and their structured objects
- entity-facts.md — EntityFacts API, FactQuery, FinancialStatement, FinancialFact
- ai-integration.md — MCP server setup, Skills installation,
.docsand.to_context()properties
Signals
- GitHub stars
- 3k
- Forks
- 277
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
edgartools- Source
- github.com/foryourhealth111-pixel/vibe-skills