# SEC 8-K Material Event Monitor — Real-Time Filing Alerts (`datasignalslab/sec-8k-material-event-monitor`) Actor Monitor SEC 8-K filings for any US company and get material events (M\&A, executive changes, earnings, restatements, bankruptcy) classified and scored by materiality. Track tickers, react in minutes. - **URL**: https://apify.com/datasignalslab/sec-8k-material-event-monitor.md - **Developed by:** [DataSignals Lab](https://apify.com/datasignalslab) (community) - **Categories:** AI, Agents, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $200.00 / 1,000 company analyzeds 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 Material Event Monitor - Real-Time Filing Alerts **Never miss a market-moving disclosure.** Give a list of tickers (or SEC CIKs) and get each company's recent **8-K material events** - M&A, executive changes, earnings, restatements, bankruptcy, delisting - automatically **classified and scored by materiality (0-100)**. See them the same day, not days later. > An 8-K is filed within 4 business days of a material event. This Actor turns the raw item codes into plain-English categories and flags the high-impact ones. **Real example (from live SEC data):** *Tesla - recent 8-Ks classified: earnings (m60), **executive change (m70)**, **material agreement / deal (m70)**.* High-impact events are flagged automatically. ### What makes it different Most SEC monitors dump raw filings. This one **interprets** them: - **Item-code classification** - turns cryptic codes (1.01, 4.02, 5.02...) into readable categories. - **Materiality score (0-100)** - bankruptcy/restatement/control-change rank highest; routine exhibits lowest. - **High-impact flagging** - instantly see the events most likely to be market-moving. - **Multi-company watchlist** - monitor a whole portfolio of tickers in one run. - **Verifiable** - every event includes a direct `url` to the filing on SEC EDGAR. ### Who it's for - **Traders & quants** - real-time event monitoring (earnings, M&A, exec departures). - **Fintech & research apps** - drop classified corporate events into your product. - **Risk / compliance / IR teams** - track material disclosures across a watchlist. Pairs naturally with our Insider Cluster Signal and Smart Money 13F actors for a full corporate-signal suite. ### Input | Field | Type | Description | |---|---|---| | `companies` | array | Tickers (AAPL, TSLA...) or SEC CIKs. | | `recentLimit` | integer | How many recent 8-Ks to classify per company. | | `minMateriality` | integer | Only return events ≥ this score (e.g. 70 = high-impact only). | ### Output One item per company: ticker, name, CIK, a `high_materiality_count`, and a list of `events` - each with date, plain-English `headline`, `max_materiality`, and the underlying item codes/categories. ### How it works Reads each company's filing history from the official **SEC EDGAR submissions API** (free, public, no key), which exposes 8-K **item codes directly** - so no fragile document scraping. Clean, stable, fast. ### Pricing **Pay-per-event: per company analyzed.** A 10-ticker watchlist = 10 charges. You pay only for what you scan. ### FAQ **How fast after a filing?** 8-Ks appear on EDGAR within minutes of submission; run on a schedule to catch them same-day. **Where do I find a CIK?** You don't need to - just use the ticker; the Actor resolves it automatically. --- *Keywords: SEC 8-K, material events, filing alerts, M&A alerts, executive change, earnings, restatement, bankruptcy, EDGAR monitor, corporate events API, trading catalysts, real-time SEC filings.* --- **Note:** Provided as data for research, screening and monitoring - not investment advice. Historical patterns do not guarantee future results. # Actor input Schema ## `companies` (type: `array`): US company tickers (e.g. AAPL, TSLA, NVDA) or SEC CIK numbers. Each is checked for recent 8-K material events. ## `recentLimit` (type: `integer`): How many of the most recent 8-K filings to classify per company. ## `minMateriality` (type: `integer`): Only return events at or above this materiality score (e.g. 70 = only high-impact: M&A, exec changes, restatements, bankruptcy). 0 = all events. ## Actor input object example ```json { "companies": [ "AAPL", "TSLA", "NVDA" ], "recentLimit": 15, "minMateriality": 0 } ```` # 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 = { "companies": [ "AAPL", "TSLA", "NVDA" ] }; // Run the Actor and wait for it to finish const run = await client.actor("datasignalslab/sec-8k-material-event-monitor").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 = { "companies": [ "AAPL", "TSLA", "NVDA", ] } # Run the Actor and wait for it to finish run = client.actor("datasignalslab/sec-8k-material-event-monitor").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 '{ "companies": [ "AAPL", "TSLA", "NVDA" ] }' | apify call datasignalslab/sec-8k-material-event-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=datasignalslab/sec-8k-material-event-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC 8-K Material Event Monitor — Real-Time Filing Alerts", "description": "Monitor SEC 8-K filings for any US company and get material events (M&A, executive changes, earnings, restatements, bankruptcy) classified and scored by materiality. Track tickers, react in minutes.", "version": "0.1", "x-build-id": "MXhC4PZddKIAJ14aE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/datasignalslab~sec-8k-material-event-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-datasignalslab-sec-8k-material-event-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/datasignalslab~sec-8k-material-event-monitor/runs": { "post": { "operationId": "runs-sync-datasignalslab-sec-8k-material-event-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/datasignalslab~sec-8k-material-event-monitor/run-sync": { "post": { "operationId": "run-sync-datasignalslab-sec-8k-material-event-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "companies" ], "properties": { "companies": { "title": "Tickers or CIKs", "type": "array", "description": "US company tickers (e.g. AAPL, TSLA, NVDA) or SEC CIK numbers. Each is checked for recent 8-K material events.", "items": { "type": "string" } }, "recentLimit": { "title": "Recent 8-Ks per company", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many of the most recent 8-K filings to classify per company.", "default": 15 }, "minMateriality": { "title": "Minimum materiality (0-100)", "minimum": 0, "maximum": 100, "type": "integer", "description": "Only return events at or above this materiality score (e.g. 70 = only high-impact: M&A, exec changes, restatements, bankruptcy). 0 = all events.", "default": 0 } } }, "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 } } } } } } } } } } ```