SEC-API.io JavaScript Lib | EDGAR API | search & filter SEC filings | over 150 form types supported | 10-Q, 10-K, 8, 4, 13, S-11, ... | insider trading
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Updated
Feb 12, 2026 - JavaScript
SEC-API.io JavaScript Lib | EDGAR API | search & filter SEC filings | over 150 form types supported | 10-Q, 10-K, 8, 4, 13, S-11, ... | insider trading
Python SEC EDGAR Filings API. Over 18 million filings, all 150 filing types supported. Query, full-text search and real-time stream API. Convert XBRL-to-JSON and access standardized financial statements from 10-K and 10-Q filings.
Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual (semantic) structure of the document.
Find and download SEC filings. Built on top of sec-edgar-downloader.
Scraper/Parser of Fundamental Financial Data for US companies
.NET class library for accessing the Security Exchange Commission's EDGAR database.
Made for the Google Cloud Vertex AI Hackathon, summarize SEC Earnings reports using NLP, LLMs (PaLM2).
SEC Edgar Parsing in Java
Unofficial wrapper for the sec-api.io API. Search & filter SEC filings.
TypeScript library for SEC EDGAR filing discovery and contract exhibit acquisition with built-in rate limiting and compliance
Group project for Coursework; (MLOps IE7374). Northeastern University.
REST API for retrieving SEC EDGAR filings. Returns filing metadata and direct links to official SEC documents.
.NET class library to interact with the EDGAR database maintained by Securities and Exchange Commission
API mapping SEC CIKs Identifiers to Names and Tickers. Base url: "https://edgar-cik-api.onrender.com" + "cik/{cik}" or "ticker/{ticker}". EXAMPLE: https://edgar-cik-api.onrender.com/ticker/aapl
This script utilizes the SEC EDGAR API to download HTML copies of SEC filings in an easy-to-use, compliantly polite, and incredibly effective script.
Finance-Agent-Benchmark Enhancement is a multi-agent extension of the Vals.ai Finance-Agent-Benchmark, developed for UC Berkeley’s Agentic AI course, that transforms the original single-agent setup into an AgentBeats-powered system using the Green/White Agent architecture.
Files for dataset and models in my submission of the JPX stock prediction challenge on Kaggle
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