data-edgar

What problem does it solve?

This Skill provides direct, no‑API access to SEC EDGAR data so analysts can retrieve structured XBRL company facts, full filings, and identifier mappings without manual scraping or disparate sources.

Core Features & Use Cases

• XBRL Company Facts & Concepts: retrieve full XBRL fact sets, single-concept time series, and cross-sectional frames for peer comparisons and screening.
• Filings & Metadata: fetch submissions, form-filtered filings, specific filings by accession, and raw document content for 10-Ks, 10-Qs, 8-Ks, and more.
• Full-Text Search & Identifier Resolution: perform keyword and advanced phrase searches across filings and resolve tickers to zero-padded CIKs or reverse lookup tickers from CIKs for automated pipelines.
• Use Case: generate an annual revenue time series for a company, screen every public company for a metric in one period, or extract the full text of a specific 10-K for NLP analysis.

Quick Start

Fetch the annual Revenues time series for ticker AAPL from EDGAR and return the last five years as a CSV.