# Smart Money Insider Flow Mcp (`mcp_collector/smart-money-insider-flow-mcp`) Actor

- **URL**: https://apify.com/mcp_collector/smart-money-insider-flow-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 us stock smart money & insider flow analyses

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 Smart Money & Insider Flow Scanner 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).**\
Analyzes 13F institutional ownership (Blackrock, Vanguard, State Street, Fidelity), C-Suite (CEO/CFO) open-market insider purchases vs sales, net insider dollar flow, and computes a quantitative **Smart Money Score (0-100)** in compact JSON and a 1-line Markdown summary.

***

### ⚡ Why AI Agents Need This MCP

1. **95% LLM Context Token Saving**: Raw SEC Form 4 and 13F filings are hundreds of pages of messy XML/HTML. This tool digests everything in serverless Python and returns a compact 300-token verdict.
2. **Detects High-Conviction CEO Buys**: Distinguishes between routine automated 10b5-1 executive selling and rare, high-conviction open-market purchases by CEOs, CFOs, or Board Chairmen.
3. **Institutional Anchor Verification**: Checks if Top-Tier hedge funds and asset managers own >70% of the float.
4. **Pay-Per-Event Micro-Pricing**: Only $0.008 per ticker analysis.

***

### 🎯 The 3-Step Agent Investment Pipeline

Combine with our sister MCP tools for the ultimate autonomous hedge-fund analyst workflow:

1. **Macro Check**: Call `macro-regime-liquidity-mcp` ➔ Determine global risk regime (Goldilocks vs Stagflation).
2. **Smart Money Check**: Call `smart-money-insider-flow-mcp` (this tool) ➔ Confirm institutional backing & CEO insider buying.
3. **Timing & Execution**: Call `us-stock-etf-quant-signal-mcp` ➔ Identify Wilder RSI turnaround, 20-day MA reclaim, and 2ATR stop-loss levels.

***

### 🔌 Claude Desktop & Cursor MCP Configuration

```json
{
  "mcpServers": {
    "smart-money-flow": {
      "command": "npx",
      "args": [
        "-y",
        "@apify/mcp-server",
        "--actor",
        "YOUR_APIFY_USERNAME/smart-money-insider-flow-mcp"
      ],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"
      }
    }
  }
}
```

***

### 📦 Output Sample

```json
{
  "ticker": "NVDA",
  "smart_money_verdict": "INSTITUTIONAL_HEAVY_BACKING (월가 대형 기관 70%+ 지분 보유 견고한 수급 앵커)",
  "smart_money_score": 78.0,
  "ceo_or_cfo_bought": false,
  "ownership_summary": {
    "institutions_percent_held": 71.52,
    "institutions_float_percent_held": 74.5,
    "institutions_count": 7728,
    "institutions_status": "HEAVY_INSTITUTIONAL_CONCENTRATION (월가 핵심 스마트머니 편입주)",
    "insiders_percent_held": 4.01
  },
  "insider_flow_6m": {
    "net_flow_usd": -142350000.0,
    "buy_count": 0,
    "sell_count": 14,
    "insider_flow_status": "ROUTINE_10B5_1_SELLING (통상적 10b5-1 규정 매도 및 차익실현)"
  },
  "top_institutions": [
    {
      "institution_name": "Blackrock Inc.",
      "shares_formatted": "1.94B",
      "value_formatted": "397.39B",
      "percent_held_formatted": "8.06%"
    },
    {
      "institution_name": "Vanguard Capital Management LLC",
      "shares_formatted": "1.54B",
      "value_formatted": "315.31B",
      "percent_held_formatted": "6.39%"
    }
  ],
  "summary_md": "**NVDA Smart Money** | Verdict: INSTITUTIONAL_HEAVY_BACKING (Score: 78.0/100) | Inst Ownership: 71.52% (7,728 funds) | Top 3: Blackrock(8.06%), Vanguard(6.39%), FMR(4.26%) | Insiders: 4.01% | 6M Net Flow: -$142M (ROUTINE_10B5_1_SELLING) | CEO/CFO Buy: None"
}
```

# Actor input Schema

## `tickers` (type: `array`):

List of US Stock ticker symbols to analyze (e.g., \["NVDA", "AAPL", "TSLA", "PLTR", "MSFT"]).

## `maxItems` (type: `integer`):

Maximum number of tickers to process in a single call to control Pay-Per-Event budget.

## Actor input object example

```json
{
  "tickers": [
    "NVDA",
    "AAPL",
    "TSLA",
    "PLTR",
    "MSFT"
  ],
  "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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "tickers": [
        "NVDA",
        "AAPL",
        "TSLA",
        "PLTR",
        "MSFT"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("mcp_collector/smart-money-insider-flow-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "tickers": [
        "NVDA",
        "AAPL",
        "TSLA",
        "PLTR",
        "MSFT",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("mcp_collector/smart-money-insider-flow-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": [
    "NVDA",
    "AAPL",
    "TSLA",
    "PLTR",
    "MSFT"
  ]
}' |
apify call mcp_collector/smart-money-insider-flow-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mcp_collector/smart-money-insider-flow-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 <APIFY_API_TOKEN>` 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/tMxliHacNNb8BcwHK/builds/tgEfplAhjUAD5uy1G/openapi.json