# StockScope: Stock & Financial Intelligence from SEC EDGAR (`constructive_wainscot/stockscope-mcp`) Actor Stock research and financial analysis from SEC EDGAR for AI agents. Get revenue, net income, margins, assets, SEC filings, and side-by-side company comparisons for any US public company. Works as a standalone API (click Run) or as an MCP server for Claude, ChatGPT, Cursor. Free, no API key needed. - **URL**: https://apify.com/constructive\_wainscot/stockscope-mcp.md - **Developed by:** [Stew Williamson](https://apify.com/constructive_wainscot) (community) - **Categories:** AI, Lead generation, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## StockScope MCP — Stock & Financial Intelligence Research any US public company instantly using SEC EDGAR data. Revenue, net income, margins, assets, filings, and side-by-side comparisons. **Free. No API key needed. Works with Claude, ChatGPT, Cursor, and any MCP client.** ### What it does StockScope gives AI agents direct access to SEC EDGAR financial data: | Tool | What it returns | Price | |------|----------------|-------| | `stock_financials` | Revenue, net income, total assets, liabilities, equity, net margin, tickers, exchange listings, SIC industry code | $0.10 | | `stock_filings` | Recent 10-K, 10-Q, 8-K, S-1, DEF 14A filings with dates and document links | $0.05 | | `stock_compare` | Side-by-side financial comparison of two companies | $0.15 | ### Two ways to use it #### 1. Click "Run" (Batch Mode) Enter company names or tickers in the input, click Run. Get financial reports in the dataset. **Example input:** ```json { "companies": ["AAPL", "MSFT", "GOOGL"], "tools": ["stock_financials", "stock_filings"] } ```` #### 2. MCP Server (Standby Mode) Connect from any MCP client: **Claude Desktop / Cursor / Cline:** ```json { "mcpServers": { "stockscope": { "command": "npx", "args": ["mcp-remote", "https://constructive_wainscot--stockscope-mcp.apify.actor/mcp"], "env": { "HEADER_Authorization": "Bearer YOUR_APIFY_TOKEN" } } } } ``` **Direct HTTP:** ```bash curl -X POST https://constructive_wainscot--stockscope-mcp.apify.actor/mcp \ -H "Authorization: Bearer YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"stock_financials","arguments":{"query":"AAPL"}},"id":1}' ``` ### Example output ``` Company: APPLE INC Tickers: AAPL (Nasdaq) Industry: Electronic Computers (SIC: 3571) State: CA SEC URL: https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0000320193 --- Financials --- Revenue: $416.0B (FY ending 2025-09-27) Net Income: $93.7B (FY ending 2025-09-27) Total Assets: $364.9B Total Liabilities: $308.0B Stockholders' Equity: $56.9B Net Margin: 22.5% ``` ### Data source All data comes directly from [SEC EDGAR](https://www.sec.gov/edgar), the official database of the U.S. Securities and Exchange Commission. Updated in real-time as companies file. Covers all US publicly-traded companies. ### Also see - **[CompanyScope MCP](https://apify.com/constructive_wainscot/companyscope-mcp)** — Full company intelligence: profiles, tech stacks, key people, competitors, patents, job postings, domain intel, social presence. 11 tools, 12 data sources. # Actor input Schema ## `companies` (type: `array`): List of company names or tickers (e.g. 'AAPL', 'Tesla', 'MSFT'). Each gets a full SEC EDGAR financial profile. ## `tools` (type: `array`): Which tools to run for each company. Options: stock\_financials, stock\_filings. Default: stock\_financials. ## Actor input object example ```json { "companies": [ "AAPL" ], "tools": [ "stock_financials" ] } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "companies": [ "AAPL" ], "tools": [ "stock_financials" ] }; // Run the Actor and wait for it to finish const run = await client.actor("constructive_wainscot/stockscope-mcp").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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"], "tools": ["stock_financials"], } # Run the Actor and wait for it to finish run = client.actor("constructive_wainscot/stockscope-mcp").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" ], "tools": [ "stock_financials" ] }' | apify call constructive_wainscot/stockscope-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=constructive_wainscot/stockscope-mcp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "StockScope: Stock & Financial Intelligence from SEC EDGAR", "description": "Stock research and financial analysis from SEC EDGAR for AI agents. Get revenue, net income, margins, assets, SEC filings, and side-by-side company comparisons for any US public company. Works as a standalone API (click Run) or as an MCP server for Claude, ChatGPT, Cursor. Free, no API key needed.", "version": "1.0", "x-build-id": "Wwv6HnC2vu5WaLbmp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/constructive_wainscot~stockscope-mcp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-constructive_wainscot-stockscope-mcp", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/constructive_wainscot~stockscope-mcp/runs": { "post": { "operationId": "runs-sync-constructive_wainscot-stockscope-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/constructive_wainscot~stockscope-mcp/run-sync": { "post": { "operationId": "run-sync-constructive_wainscot-stockscope-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "companies": { "title": "Companies to Research", "type": "array", "description": "List of company names or tickers (e.g. 'AAPL', 'Tesla', 'MSFT'). Each gets a full SEC EDGAR financial profile.", "items": { "type": "string" } }, "tools": { "title": "Tools to Run", "type": "array", "description": "Which tools to run for each company. Options: stock_financials, stock_filings. Default: stock_financials.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```