# Us Stock Intrinsic Value Dcf Mcp (`mcp_collector/us-stock-intrinsic-value-dcf-mcp`) Actor - **URL**: https://apify.com/mcp_collector/us-stock-intrinsic-value-dcf-mcp.md - **Developed by:** [koon](https://apify.com/mcp_collector) (community) - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $8.00 / 1,000 intrinsic value & margin of safety runs This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## 💎 US Stock Intrinsic Value & Fair Valuation MCP [![Apify Actor](https://img.shields.io/badge/Apify-Actor-orange?logo=apify)](https://apify.com) [![Pricing](https://img.shields.io/badge/Price-%240.008%20%2F%20call-green)](https://apify.com) [![Runtime](https://img.shields.io/badge/Latency-%3C3s-blue)](https://apify.com) **Ultra-fast (<3s) Zero-Proxy MCP Tool for AI Agents (Claude, Cursor, LangChain).**\ Computes multi-model intrinsic fair value (Benjamin Graham Number, Peter Lynch PEG Parity, Forward Earnings Target, Wall Street Consensus) and calculates Margin of Safety (%) in compact JSON and a 1-line Markdown summary. *** ### ⚡ Why AI Agents Need This MCP 1. **Instant Valuation Anchoring**: AI agents need deterministic answers to: *"Is this stock fundamentally undervalued or in a speculative bubble?"* 2. **Multi-Model Composite Consensus**: Blends classic value models (Benjamin Graham Number $\sqrt{22.5 \times EPS \times BVPS}$), growth models (Peter Lynch PEG fair value), forward multiples, and Wall Street targets. 3. **Margin of Safety Quantification**: Computes the exact discount or premium relative to composite fair value. 4. **95% LLM Context Token Saving**: Condenses complex 10-K balance sheets and financial statements into a concise <250-token payload. *** ### 🎯 7-Step Institutional Hedge Fund Agent Pipeline Combine with our sister MCP tools for the ultimate autonomous portfolio workflow: 1. **Macro Check**: Call `macro-regime-liquidity-mcp` ➔ Determine global risk regime. 2. **Smart Money**: Call `smart-money-insider-flow-mcp` ➔ Check 13F whale backing & C-Suite buying. 3. **Wall Street Targets**: Call `wallstreet-consensus-target-mcp` ➔ Check IB targets & 4Q earnings beat streak. 4. **Intrinsic Valuation**: Call `us-stock-intrinsic-value-dcf-mcp` (this tool) ➔ Verify Margin of Safety (>15% discount). 5. **Short Squeeze**: Call `us-short-squeeze-sentiment-mcp` ➔ Check short float % and squeeze risk. 6. **Dividend Safety**: Call `us-dividend-safety-growth-mcp` ➔ Check payout safety and OCF coverage. 7. **Timing & Execution**: Call `us-stock-etf-quant-signal-mcp` ➔ RSI 턴업, 20MA reclaim, and 2ATR stop-loss levels. *** ### 🔌 Claude Desktop & Cursor MCP Configuration ```json { "mcpServers": { "intrinsic-value": { "command": "npx", "args": [ "-y", "@apify/mcp-server", "--actor", "YOUR_APIFY_USERNAME/us-stock-intrinsic-value-dcf-mcp" ], "env": { "APIFY_TOKEN": "YOUR_APIFY_API_TOKEN" } } } } ``` *** ### 🛠️ Input Parameters | Parameter | Type | Default | Description | | :--- | :--- | :--- | :--- | | `tickers` | `array` | `["AAPL", "NVDA", "MSFT", "KO", "INTC"]` | List of US stock tickers to analyze. | | `maxItems` | `integer` | `50` | Maximum number of tickers to analyze per run. | *** ### ⚖️ License Apache 2.0 # Actor input Schema ## `tickers` (type: `array`): List of US stock tickers to analyze for intrinsic fair value, valuation multiples, and margin of safety. ## `maxItems` (type: `integer`): Maximum number of stocks to process. ## Actor input object example ```json { "tickers": [ "AAPL", "NVDA", "MSFT", "KO", "INTC" ], "maxItems": 50 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "tickers": [ "AAPL", "NVDA", "MSFT", "KO", "INTC" ] }; // Run the Actor and wait for it to finish const run = await client.actor("mcp_collector/us-stock-intrinsic-value-dcf-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 = { "tickers": [ "AAPL", "NVDA", "MSFT", "KO", "INTC", ] } # Run the Actor and wait for it to finish run = client.actor("mcp_collector/us-stock-intrinsic-value-dcf-mcp").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "tickers": [ "AAPL", "NVDA", "MSFT", "KO", "INTC" ] }' | apify call mcp_collector/us-stock-intrinsic-value-dcf-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,mcp_collector/us-stock-intrinsic-value-dcf-mcp" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/mhcbMkKygOPPdqdCU/builds/iWqfTjwq954zom56y/openapi.json