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Provides real-time orderflow intelligence for Binance cryptocurrency pairs, enabling AI agents to analyze live Level 2 orderbook data and institutional buying/selling pressure for USDT trading pairs. Integrates with RapidAPI to access Horus Flow Intelligence API for institutional-grade crypto and equity orderflow data, requiring a RapidAPI key for authentication and data access.

horus-flow-mcp by horustechltd

🛑 Stop Predicting Candles. Start Measuring Gravity.

Retail traders use trailing indicators (RSI/MACD) to guess what the market will do based on the past. Horus uses Level 2 Orderbook physics, Tick imbalances, and 5-Second Flow Deltas to measure exactly what institutional whales are doing right now.

Horus doesn't ask "Are we overbought?". It measures gravitational pull and tells you: "Whales are spoofing the bid and aggressive takers are tearing through the ask. Liquidity is collapsing. Bailout now."

⚡ Why AI Agents (Claude, Cursor) Love Horus

If you hook up an AI Agent to a basic technical indicator feed, it gets confused by noise. If you feed an AI Agent Horus, it gets an institutional grade decision matrix.

Look at what Horus catches in real-time during a Liquidity Withdrawal / Flash Crash attempt:

{
  "symbol": "BTCUSDT",
  "signal": "LIQUIDITY_EVENT",
  "confidence": 0.99,
  "market_state": "DISTRIBUTION",
  "risk": "EXTREME",
  "description": "Liquidity withdrawn under price. Aggressive taking.",
  "metrics": {
    "bid_ask_ratio": 7.934,
    "buy_sell_ratio": 0.393,
    "delta_5s": -83040.05,
    "whale_activity": true,
    "large_sell_count": 4,
    "delta_accel": 3.8,
    "wall_side": "BID",
    "wiseman_climate": {
      "market_mode": "CHOP",
      "health": "FRAGILE",
      "confidence": 0.85
    },
    "flags": [
      "GLOBAL_LIQUIDITY_EVENT",
      "SPOOFING_DETECTED(wall=BID)"
    ]
  },
  "timestamp": 1776107738.975
}

The Institutional Alpha:

bid_ask_ratio: 7.934 & wall_side: BID: Massive spoofed bid walls are placed by whales below the market to create fake support.
buy_sell_ratio: 0.393: Horus sees through the spoofing (SPOOFING_DETECTED flag). It measures real taker flow and discovers aggressive selling is devastating the orderbook.
delta_accel: 3.8 & whale_activity: true: Selling momentum accelerated by 3.8x natively tracking 4 major whale dumps within milliseconds.
wiseman_climate: FRAGILE: Integrates perfectly with the overarching Horus SaaS macro brain, verifying that Bitcoin's holistic environment is fragile before attacking.
The Verdict: With a 0.99 Confidence factor, the AI engine triggers LIQUIDITY_EVENT. It front-runs the ensuing 1-minute crash. This is Institutional Grade.

🏗️ Architecture

graph TD
    %% Styling
    classDef crypto_stream fill:#F3BA2F,stroke:#000,color:#000,stroke-width:2px;
    classDef equity_stream fill:#000,stroke:#09b533,color:#09b533,stroke-width:2px;
    classDef compute fill:#1A1F36,stroke:#00D6FF,color:#fff,stroke-width:2px;
    classDef mcp fill:#632CA6,stroke:#fff,color:#fff,stroke-width:2px;
    classDef client fill:#FF3366,stroke:#fff,color:#fff,stroke-width:2px;

    %% Ingestion
    subgraph Data_Pipelines [Sub-Millisecond Websocket Ingestion]
        B[Binance WSS <br/> L1/L2 Book]:::crypto_stream
        A[Alpaca WSS <br/> SIP Equities]:::equity_stream
    end

    %% Engine
    subgraph Core_Engine [The Physics Engine]
        IC[Imbalance Calculator <br/> Bid/Ask Spread]:::compute
        FC[Flow Calculator <br/> Tape Deltas]:::compute
        Tkr[Prediction Tracker <br/> In-Memory Evaluator]:::compute
        BC[Behavioral Court <br/> Spoofing & Liquidity Rules]:::compute
    end

    %% Output
    subgraph Output_Layer [Data Shield & Delivery]
        MCP[AI Agent MCP Context <br/> Context-Aware Prompts]:::mcp
        API[FastAPI Client <br/> Safe Shielded Outputs]:::client
        Dash[Real-time Dashboard <br/> Live Edge Proof]:::client
    end

    B --> IC
    A --> IC
    B --> FC
    A --> FC
    
    IC --> BC
    FC --> BC
    
    BC --> Tkr
    Tkr -- "Validates 1M accuracy" --> BC
    
    BC --> MCP
    BC --> API
    BC --> Dash

🚀 Quickstart for Trading Bots

Getting started with Horus takes less than 60 seconds. ⚡ Test Instantly: Download our Postman Collection to ping the API directly from your browser.

# 1. Install Dependencies
pip install -r requirements.txt

# 2. Fire up the Core Engine
uvicorn app.main:app --host 0.0.0.0 --port 8011

In your local Bot / Agent, simply pull the live flow for any Crypto or US Equity:

import requests

response = requests.get(
    "http://127.0.0.1:8011/v1/flow/crypto/BTCUSDT", 
    headers={"X-API-Key": "your_secure_api_key"}
)

flow_data = response.json()

# The Zero-Human Decision Loop:
if flow_data['signal'] in ['EMERGENCY_DUMP', 'BAILOUT', 'LIQUIDITY_EVENT']:
    print("Market gravity collapsing. Market selling all positions.")
    # execute_market_sell()

🌐 Live Real-Time Dashboard

Horus comes with a stunning glass-morphism WebSocket dashboard out-of-the-box (/dash/). It features a Local Edge Proof Tracker that strictly measures 1-Minute Candle directional predictions generated by the Physics Engine with an openly transparent win rate.

Built with absolute precision for those who need to see the Matrix. — HORUS INTELLIGENCE 👁️

horus-flow-mcp

🛑 Stop Predicting Candles. Start Measuring Gravity.

⚡ Why AI Agents (Claude, Cursor) Love Horus

The Institutional Alpha:

🏗️ Architecture

🚀 Quickstart for Trading Bots

🌐 Live Real-Time Dashboard

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