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Data & Analytics
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Edgartools

Access, analyze, and extract structured data from SEC EDGAR filings — financial statements, insider trades, institutional holdings, and more.

by foryourhealth111-pixelv1.0.0
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npx clawhub@latest install edgartools
3.7kStars
1.8kDownloads
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Edgartools Skill Overview

Edgartools connects your AI assistant to the full SEC EDGAR database, giving it structured access to every public filing since 1994. Install it when you need to analyze financial statements, track insider trades, review institutional holdings, or work with any SEC regulatory document — all without manually downloading or parsing raw filings.

How to Use It

Step 1: Run in your terminal or install this skill on MyClaw

npx clawhub@latest install edgartools
or

Click the Install button at the top of this page for one-click setup

When to Use Edgartools

Best Fit

  • You need income statements, balance sheets, or cash flow data from 10-K or 10-Q filings for one or more companies.
  • You want to track insider transactions (Form 4) or institutional portfolio holdings (13F) for a specific ticker.
  • You are building a multi-period financial model and need XBRL-tagged data stitched across quarters or years.
  • You need to review proxy statement disclosures (DEF 14A) such as executive compensation or shareholder proposals.

When Not to Use

  • You need real-time market prices or intraday trading data — EDGAR filings are periodic disclosures, not live market feeds.
  • You are working with private companies that do not file with the SEC.
  • You need non-US regulatory filings (e.g., UK Companies House, EU ESMA).

Key Features

Structured Financial Statements

Extracts income statements, balance sheets, and cash flow statements directly from 10-K and 10-Q filings as typed Python objects. Supports both annual and quarterly views with multi-period stitching.

Multi-Form Object Mapping

Each supported SEC form maps to a dedicated structured object — TenK, TenQ, EightK, Form4, ThirteenF, ProxyStatement, and more — with typed properties instead of raw text.

XBRL Fact Querying

Parses XBRL-tagged data from filings, enabling precise fact queries and standardized multi-period financial analysis across reporting periods.

Insider & Institutional Holdings

Parses Form 4 insider transactions (reporting owner, transaction details) and 13F-HR institutional holdings (portfolio table, total value) into structured data.

Flexible Company Lookup

Find any SEC registrant by ticker symbol, CIK number, or free-text name search. Batch and screening workflows are supported via the Companies API.

LLM-Ready Filing Export

Any filing can be exported as plain text, HTML, or Markdown via .text(), .html(), or .markdown(), making it straightforward to feed filing content into LLM prompts.

Use Cases

Financial Statement Analysis

Pull annual or quarterly financials for a public company and compare revenue, margins, or debt levels across multiple periods using structured statement objects.

Insider Trading Monitoring

Retrieve the latest Form 4 filings for a ticker to see which executives or directors bought or sold shares, including transaction dates and amounts.

Institutional Holdings Research

Access 13F-HR filings to see what positions major institutional investors hold, their total portfolio value, and changes quarter over quarter.

Proxy Statement Review

Extract executive compensation tables and shareholder proposals from DEF 14A filings for governance research or ESG analysis.

Requirements

  • SEC EDGAR Identity — A name and valid email address set via the EDGAR_IDENTITY environment variable or set_identity() call. Required by the SEC for all API access.
  • Python package — edgartools installed in the skill's environment (uv pip install edgartools). Use uv pip install "edgartools[ai]" for MCP and AI integration features.
Connecting to VM...
npx clawhub@latest install edgartools
3.7kStars
1.8kDownloads
1Current Installs
📦
v1.0.0Version
View Source

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