# SEC 8-K Events Feed — Material Corporate Events as JSON (`jdepablos/sec-8k-events-feed`) Actor - **URL**: https://apify.com/jdepablos/sec-8k-events-feed.md - **Developed by:** [Juan de Pablos](https://apify.com/jdepablos) (community) - **Categories:** Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 company 8-k reports This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## SEC 8-K Events Feed — Material Corporate Events as JSON **Know the moment a US public company reports something material.** This feed turns official [SEC 8-K filings](https://www.sec.gov/answers/form8k.htm) into clean JSON: mergers, earnings, executive departures, delistings, bankruptcies, cybersecurity incidents — each event decoded from its official item code into a readable label. The 8-K is the SEC's "current report": a company must file one within four business days of a material event. It is the primary source that news outlets read. This feed reads it for you, structured. ### What you get ```json { "ticker": "AAPL", "cik": 320193, "companyName": "Apple Inc.", "events": [ { "filedAt": "2026-04-30", "form": "8-K", "items": [ { "code": "2.02", "label": "Results of Operations and Financial Condition", "category": "earnings" }, { "code": "9.01", "label": "Financial Statements and Exhibits", "category": "other" } ], "summary": "Results of Operations and Financial Condition; Financial Statements and Exhibits", "highSignal": true, "url": "https://www.sec.gov/Archives/edgar/data/320193/..." } ] } ```` The value is the **item code decoding**. `5.02` means an executive came or went. `2.01` means an acquisition closed. `1.03` means bankruptcy. `1.05` means a material cybersecurity incident. You filter and route on `category` without reading a single document. ### Use cases - **Event-driven trading**: watch a basket of tickers and react to `earnings`, `ma` or `distress` events the day they file. - **Risk monitoring**: flag `distress` events (impairments, delisting notices, accelerated obligations, non-reliance on prior financials) across a portfolio. - **Executive tracking**: `5.02` events tell you who joined or left the C-suite and board. - **AI agents**: exposed as an MCP tool — ask "any material events for NVDA this quarter?" and get a decoded list in one call. ### Input `ticker` (single) or `tickers` (watchlist of up to 25). Set `daysBack`, cap with `maxFilings`, and flip `highSignalOnly` to drop routine exhibit-only filings and keep the events that move a stock. ### Pricing Pay per event: charged only per company report that contains at least one 8-K in the window. Companies not found on EDGAR and empty windows are free. ### Use with AI agents (MCP) ``` https://mcp.apify.com?tools=jdepablos/sec-8k-events-feed ``` ### FAQ **Where does the data come from?** The official SEC EDGAR submissions API — the same primary source filers submit to. No third-party aggregator. **How fresh is it?** Live: every run queries EDGAR at request time. 8-K filings appear here as soon as the SEC accepts them. **What is an "item code"?** The SEC defines a fixed set of numbered items for the 8-K (1.01 through 9.01). Each identifies a specific kind of event. This feed maps every code to its official meaning and a category. **Do you cover 8-K/A amendments?** Yes, amendments are included and marked with `form: "8-K/A"`. # Actor input Schema ## `ticker` (type: `string`): A single US stock symbol, e.g. "AAPL". For batches use `tickers`. ## `tickers` (type: `array`): Up to 25 US stock symbols in one run, e.g. \["AAPL", "TSLA", "NVDA"]. ## `daysBack` (type: `integer`): How far back to look for 8-K filings (1-365). ## `maxFilings` (type: `integer`): Cap the number of 8-K filings returned per company. ## `highSignalOnly` (type: `boolean`): Keep only material events (M\&A, earnings, executive changes, distress, restructuring, capital, governance). Filters out filings that are only exhibits or routine disclosure. ## Actor input object example ```json { "ticker": "AAPL", "tickers": [ "AAPL", "TSLA" ], "daysBack": 90, "maxFilings": 40, "highSignalOnly": false } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "ticker": "AAPL", "tickers": [ "AAPL", "TSLA" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jdepablos/sec-8k-events-feed").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "ticker": "AAPL", "tickers": [ "AAPL", "TSLA", ], } # Run the Actor and wait for it to finish run = client.actor("jdepablos/sec-8k-events-feed").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "ticker": "AAPL", "tickers": [ "AAPL", "TSLA" ] }' | apify call jdepablos/sec-8k-events-feed --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jdepablos/sec-8k-events-feed", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC 8-K Events Feed — Material Corporate Events as JSON", "version": "0.1", "x-build-id": "SjpBJ8JlMQt8GHEOO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jdepablos~sec-8k-events-feed/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jdepablos-sec-8k-events-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jdepablos~sec-8k-events-feed/runs": { "post": { "operationId": "runs-sync-jdepablos-sec-8k-events-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jdepablos~sec-8k-events-feed/run-sync": { "post": { "operationId": "run-sync-jdepablos-sec-8k-events-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "ticker": { "title": "Ticker", "type": "string", "description": "A single US stock symbol, e.g. \"AAPL\". For batches use `tickers`." }, "tickers": { "title": "Tickers (watchlist)", "type": "array", "description": "Up to 25 US stock symbols in one run, e.g. [\"AAPL\", \"TSLA\", \"NVDA\"].", "items": { "type": "string" } }, "daysBack": { "title": "Days back", "minimum": 1, "maximum": 365, "type": "integer", "description": "How far back to look for 8-K filings (1-365).", "default": 90 }, "maxFilings": { "title": "Max filings per company", "minimum": 1, "maximum": 100, "type": "integer", "description": "Cap the number of 8-K filings returned per company.", "default": 40 }, "highSignalOnly": { "title": "High-signal events only", "type": "boolean", "description": "Keep only material events (M&A, earnings, executive changes, distress, restructuring, capital, governance). Filters out filings that are only exhibits or routine disclosure.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```