<a href="https://flow.horustek.pro/status.html"></a>
๐ค The Zero-Human Decision Loop in Action
When you connect Claude Desktop, Cursor, or an autonomous LangChain / AutoGen agent to Horus Cortex, your agent stops hallucinating and begins executing with Wall Street risk rigor:
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Autonomous Quant Agent (Claude 3.5 Sonnet / Cursor IDE) ๐ค โ
โ โ
โ Prompt: "BTC is pumping. Should we execute a 3x breakout long entry?" โ
โ โ
โ AI Calls Tool: `get_horus_cortex()` โ
โ โ Horus Cortex Returns: โ
โ { โ
โ "regime_state": "TRANSITION", โ
โ "trust_score": 26.5, โ
โ "action_policy": { โ
โ "directive": "Deteriorating Transition: Capital Preservation Lock (0.0x)", โ
โ "trend_allowed": false, โ
โ "ignition_allowed": false โ
โ }, โ
โ "market_vitals": { "taker_ratio": 0.24, "global_ignition": 0.08 }, โ
โ "active_contradictions": [ โ
โ { "id": "BULLISH_PRICE_vs_HOLLOW_BREADTH", "severity": "MEDIUM" } โ
โ ], โ
โ "execution_boundaries": { โ
โ "invalidation_support": 77052.0, โ
โ "breakout_resistance": 78608.0 โ
โ } โ
โ } โ
โ โ
โ AI Final Output: โ
โ "โ TRADE ABORTED โ CAPITAL PRESERVATION ENFORCED. โ
โ Although spot price is making local highs, Horus Cortex flags a severe divergence: โ
โ 1. Taker Buy/Sell ratio collapsed to 0.24 (Aggressive seller absorption). โ
โ 2. Global market breadth is dormant (0.08) indicating an isolated, hollow squeeze. โ
โ 3. Cortex Trust Score is 26.5/100 with active trend locks enabled. โ
โ Action: Standing aside. Re-evaluating only if price confirms above $78,608 with volume." โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ Stop Predicting Candles. Start Measuring Gravity.
Retail traders rely on lagging indicators (RSI, MACD, Moving Averages) which calculate what has already happened.
Horus is predictive, not reactive:
- Level 1-2 Physics (The Eye): Measures sub-second limit orderbook depth, spoofed liquidity walls, and aggressive taker execution delta before candlesticks print.
- Level 3 Forensics (The Radar): Tracks Liquidation Cascades (Gravity Direction) and Spot vs. Futures Speculation Ratios.
- Level 4 Cortex (The Mind): Synthesizes 7 independent evidence families with a real-time Contradiction Engine to output machine-executable position sizing multipliers and USD invalidation boundaries.
๐๏ธ 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 level3 fill:#1A1F36,stroke:#FF6B00,color:#fff,stroke-width:2px;
classDef cortex fill:#4A154B,stroke:#FFD700,color:#fff,stroke-width:3px;
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 [Websocket Ingestion]
B[Binance WSS <br/> L1/L2 Book]:::crypto_stream
A[Alpaca WSS <br/> IEX Equities - sample]:::equity_stream
BF[Binance Futures <br/> OI / Funding / Liquidations]:::crypto_stream
end
%% Level 1-2 Engine
subgraph Core_Engine [Level 1-2: Microstructure Physics]
IC[Imbalance Calculator <br/> Bid/Ask Walls]:::compute
FC[Flow Calculator <br/> Tape Deltas]:::compute
BC[Behavioral Court <br/> Spoofing & Absorption Rules]:::compute
end
%% Level 3 Intelligence
subgraph L3_Engine [Level 3: Institutional Intelligence]
LH[Liquidation Heatmap <br/> Gravity Zones]:::level3
XF[Cross-Exchange Flow <br/> Spot โ Futures]:::level3
CI[Composite Intelligence <br/> 4-Layer Verdict]:::level3
end
%% Level 4 Cognitive Cortex
subgraph L4_Cortex [Level 4: The Sovereign Cognitive Cortex]
HC[Horus Cortex Symphony 3.0 <br/> 7 Forensic Families + Contradiction Engine]:::cortex
TS[Penalized Trust Score 0-100]:::compute
EB[Execution Boundaries USD]:::compute
AP[Action Policy Multipliers for Bots]:::compute
end
%% Output
subgraph Output_Layer [Data Delivery & Agent Integration]
MCP[AI Agent FastMCP Server <br/> 8 Sovereign Tools]:::mcp
API[FastAPI REST Gateway <br/> 13 Endpoints]:::client
Dash[Real-Time Portal <br/> Live Microstructure]:::client
end
B --> IC
A --> IC
B --> FC
A --> FC
BF --> LH
BF --> XF
IC --> BC
FC --> BC
LH --> CI
XF --> CI
BC --> CI
CI --> HC
HC --> TS
HC --> EB
HC --> AP
HC --> MCP
HC --> API
BC --> Dash
๐ก Complete API Catalog
Level 1-2: Orderflow Microstructure
Level 3: Forensic Market Intelligence
Every Level 3 document carries a method field with its exact formula. Endpoints return 503 data_stale instead of serving data older than their freshness limit.
Level 4: The Sovereign Cognitive Cortex
Agent Layer
Every directional flow reading carries a reliability block with its measured hit rate. Add ?view=compact to /v1/flow/crypto/{symbol} for a token-light answer.
๐ค Connect Your AI Agent
Remote MCP server (recommended)
https://flow.horustek.pro/mcp (Streamable HTTP).
- RapidAPI subscribers: send your RapidAPI key as
X-RapidAPI-Key: <key>. Calls go through RapidAPI, so your RapidAPI plan and quota apply. Subscribe on RapidAPI. - Horus keys:
X-API-Key: <key>orAuthorization: Bearer <key>. - No key: free tier: order flow for any pair, the public track record, US session context, the first 3 scanner results and service status.
Claude Code:
claude mcp add --transport http horus-flow https://flow.horustek.pro/mcp --header "X-RapidAPI-Key: YOUR_RAPIDAPI_KEY"
Any MCP client that supports remote servers:
{
"mcpServers": {
"horus-flow": {
"type": "http",
"url": "https://flow.horustek.pro/mcp",
"headers": { "X-RapidAPI-Key": "YOUR_RAPIDAPI_KEY" }
}
}
}
Tools (all read-only, compact JSON with an output schema)
Readings are context with a measured track record, not trade instructions. Many signals score close to a coin flip; the reliability field says so.
Local stdio server (PyPI)
pip install horus-flow-mcp and set RAPIDAPI_KEY to use the RapidAPI listing from a local MCP client.
Webhook signatures
import hmac, hashlib
def verify(secret: str, timestamp: str, body: bytes, signature: str) -> bool:
expected = "sha256=" + hmac.new(secret.encode(), timestamp.encode() + b"." + body, hashlib.sha256).hexdigest()
return hmac.compare_digest(expected, signature)
# timestamp = request.headers["X-Horus-Timestamp"], signature = request.headers["X-Horus-Signature"]
โก 60-Second Quant Bot Quickstart (Python)
import requests
HEADERS = {"X-API-Key": "your_horus_api_key"}
BASE_URL = "https://flow.horustek.pro"
# 1. Query Horus Cortex for the Sovereign Market State
res = requests.get(f"{BASE_URL}/v1/intelligence/cortex", headers=HEADERS).json()
trust_score = res["trust_score"]
policy = res["action_policy"]
boundaries = res["execution_boundaries"]
print(f"๐ง Market State: {res['regime_state']} | Trust: {trust_score}/100")
print(f"๐ก๏ธ Action Directive: {policy['directive']}")
print(f"๐ฏ Support Invalidation: ${boundaries['invalidation_support']:,.0f} | Breakout Target: ${boundaries['breakout_resistance']:,.0f}")
# 2. Enforce Autonomous Risk Rules
if not policy["trend_allowed"]:
print("โ Trade Rejected: Cortex forbids trend breakouts during transitions.")
else:
position_multiplier = policy["trend_multiplier"]
# execute_trade(multiplier=position_multiplier, stop_loss=boundaries["invalidation_support"])
๐ Plans
Live status and uptime: flow.horustek.pro/status.html
๐ Live Real-Time Dashboard
Explore the live institutional orderflow visualizer at flow.horustek.pro/dash/.
Engineered with mathematical rigor for Autonomous AI Agents and Quantitative Traders.
ยฉ 2026 Horus Tech Ltd. ๐ฆ
mcp-name: pro.horustek/horus-flow-mcp