# SEC Form 4 Insider Tracker MCP (`red.cars/sec-form-4-insider-tracker`) Actor Track SEC Form 4 and 8-K insider filings for watched tickers. Input tickers and event types, get structured insider trading signals with transaction details. - **URL**: https://apify.com/red.cars/sec-form-4-insider-tracker.md - **Developed by:** [AutomateLab](https://apify.com/red.cars) (community) - **Categories:** MCP servers, AI - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 1,000 results 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 Form 4 Insider Tracker MCP Monitor SEC EDGAR (sec.gov) for Form 4 insider trades and 8-K material events across your stock watchlist, returning structured transaction data with insider names, titles, share counts, and USD values. ### Overview Track insider buying and selling activity across publicly traded companies using official SEC EDGAR filings. Form 4 disclosures are filed when company insiders—executives, directors, and large shareholders—make transactions in company stock. The SEC enforces same-day filing deadlines, making this data one of the fastest available signals for insider sentiment. 8-K reports capture material events like earnings surprises, executive changes, and strategic pivots that move markets. ### Features - **Real-time SEC monitoring**: Tracks Form 4 (insider purchases/sales) and 8-K (material company events) filings with ~15-minute SEC EDGAR latency - **Multi-ticker batch tracking**: Watch up to 50 stock tickers simultaneously in a single API call - **Structured JSON output**: Parsed insider data—no more wrestling with raw SEC XML formats - **Transaction type decoding**: Automatically interprets P=Purchase, S=Sale, D=Disposition, M=Merger transaction codes - **Insider title extraction**: Captures officer/director titles (CEO, CFO, Director, etc.) from Form 4 filings - **USD value calculation**: Computes total transaction value from share count × price when available - **MCP server integration**: Native Model Context Protocol tool for AI agent workflows - **Apify actor compatibility**: Full JSON input schema for batch processing and scheduling ### Use Cases - **Quantitative trading signals**: Screen for insider buying clusters that historically precede price appreciation; filter by transaction size relative to insider holdings - **Due diligence monitoring**: Alert when executives or directors in your portfolio companies file unusual transactions—large purchases signal confidence, sudden sales warrant investigation - **Earnings season preparation**: Track 8-K filings for revenue warnings or guidance changes in the weeks before quarterly reports to position ahead of volatility - **Risk management**: Identify insider selling at historical highs that may signal overvaluation or upcoming lock-up expirations - **M&A alpha detection**: Monitor 8-K disclosures for joint ventures, licensing agreements, and strategic partnerships that hint at future transactions - **Short squeeze screening**: Flag rapid accumulation by insiders combined with high short interest as potential catalysts ### Quick Start #### Prerequisites - Apify account (free tier available) - Node.js 18+ for local testing #### 1-minute setup ```bash ## Install Apify CLI npm install -g apify-cli ## Clone the actor apify actors:create sec-form-4-insider-tracker ## Set environment variable export APIFY_TOKEN=your_apify_token ## Run locally node main.js --tickers AAPL,MSFT,GOOGL --maxResults 5 ```` #### MCP Quick Start ```json { "toolName": "track_insider_filings", "arguments": { "tickers": ["AAPL", "MSFT", "GOOGL"], "event_types": ["4", "8-K"], "maxResults": 10 } } ``` ### Input Parameters | Field | Type | Default | Description | |-------|------|---------|-------------| | tickers | array of string | \["AAPL", "MSFT"] | Stock tickers to monitor (max 50) | | event\_types | array of string | \["4", "8-K"] | SEC form types: 4=Form4 insider trades, 8-K=material events | | maxResults | integer | 10 | Max filings to return per ticker (max 50) | ### Output ```json { "tickers_watched": ["AAPL", "MSFT"], "event_types_tracked": ["4", "8-K"], "total_filings": 2, "filings": [ { "ticker": "AAPL", "form_type": "4", "filed_at": "2026-05-14", "insider_name": "Tim Cook", "title": "Chief Executive Officer", "transaction_type": "P - Purchase", "value_usd": 150000, "shares": 1000 }, { "ticker": "AAPL", "form_type": "8-K", "filed_at": "2026-05-13", "insider_name": "N/A - Company Filing", "title": "N/A", "transaction_type": "8-K Item 2.02", "value_usd": 0, "shares": 0 } ], "metadata": { "sec_source": "https://www.sec.gov/cgi-bin/browse-edgar", "fetched_at": "2026-05-15T12:00:00Z" } } ``` ### Pricing **PPE**: $0.08 per watched ticker per filing event. Cost estimation: Watching 3 tickers with 5 filing events = 3 × 5 × $0.08 = $1.20 | Scenario | Tickers | Events | Cost | |----------|---------|--------|------| | Small watchlist | 5 | 10 | $0.40 | | Medium portfolio | 15 | 20 | $2.40 | | Large hedge fund | 50 | 50 | $20.00 | ### Troubleshooting **"No filings found for ticker"**: SEC EDGAR has ~15-minute delay on new filings. If a filing just occurred, wait 15 minutes and retry. Also verify the ticker symbol is correct (e.g., "BRK.B" not "BRK B"). **"Rate limit exceeded"**: SEC imposes limits on EDGAR queries. The actor includes built-in retry logic with exponential backoff. For high-volume use cases, spread requests across multiple calls with 5-second intervals. **"Form type not supported"**: Currently supports Form 4 (insider trades) and 8-K (material events). For support of additional form types (Form 13D, Form S-1, etc.), contact the development team with your requirements. **"Invalid ticker symbol"**: Only valid SEC-registered tickers work. Test with well-known symbols like AAPL, MSFT, GOOGL before using niche symbols. **"maxResults capped at 50"**: The SEC caps response size for performance. Use pagination by incrementing a date filter to retrieve historical filings in batches. **Data latency concerns**: For real-time trading signals requiring zero latency, consider premium data feeds from Bloomberg or Refinitiv. SEC filings inherently have ~15-minute delay by regulation. # Actor input Schema ## `tool` (type: `string`): MCP tool to call ## `tickers` (type: `array`): Stock tickers to watch (e.g. AAPL, MSFT, GOOGL) ## `event_types` (type: `array`): SEC form types to track (4=Form4, 8-K=8-K) ## `maxResults` (type: `integer`): Max filings to return per ticker ## Actor input object example ```json { "tool": "track_insider_filings", "tickers": [ "AAPL", "MSFT" ], "event_types": [ "4", "8-K" ], "maxResults": 10 } ``` # 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 = { "tool": "track_insider_filings", "tickers": [ "AAPL", "MSFT" ], "event_types": [ "4", "8-K" ], "maxResults": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("red.cars/sec-form-4-insider-tracker").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 = { "tool": "track_insider_filings", "tickers": [ "AAPL", "MSFT", ], "event_types": [ "4", "8-K", ], "maxResults": 10, } # Run the Actor and wait for it to finish run = client.actor("red.cars/sec-form-4-insider-tracker").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 '{ "tool": "track_insider_filings", "tickers": [ "AAPL", "MSFT" ], "event_types": [ "4", "8-K" ], "maxResults": 10 }' | apify call red.cars/sec-form-4-insider-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=red.cars/sec-form-4-insider-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC Form 4 Insider Tracker MCP", "description": "Track SEC Form 4 and 8-K insider filings for watched tickers. Input tickers and event types, get structured insider trading signals with transaction details.", "version": "0.1", "x-build-id": "D1tczhspVJCBvexJF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/red.cars~sec-form-4-insider-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-red.cars-sec-form-4-insider-tracker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/red.cars~sec-form-4-insider-tracker/runs": { "post": { "operationId": "runs-sync-red.cars-sec-form-4-insider-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/red.cars~sec-form-4-insider-tracker/run-sync": { "post": { "operationId": "run-sync-red.cars-sec-form-4-insider-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "tickers", "event_types" ], "properties": { "tool": { "title": "Tool Name", "enum": [ "track_insider_filings" ], "type": "string", "description": "MCP tool to call", "default": "track_insider_filings" }, "tickers": { "title": "Stock Tickers", "type": "array", "description": "Stock tickers to watch (e.g. AAPL, MSFT, GOOGL)", "items": { "type": "string" }, "default": [ "AAPL", "MSFT" ] }, "event_types": { "title": "SEC Event Types", "type": "array", "description": "SEC form types to track (4=Form4, 8-K=8-K)", "items": { "type": "string" }, "default": [ "4", "8-K" ] }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 50, "type": "integer", "description": "Max filings to return per ticker", "default": 10 } } }, "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 } } } } } } } } } } ```