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Enables Google ADK agents to auto-discover and use MCP tools for economic decision signals, including market psychology, maritime freight, and DeFi arbitrage. Provides a Tool wrapper for LangChain agents to analyze market psychology, maritime freight risk, and DeFi arbitrage via the Arsenal Decision Engine.

Arsenal Decision Engine — Decision Intelligence Layer

MCP Server L402 Paywall DeFAI Ready Latency

For A2A / DeFi agent integration → see AGENTS.md

Mission: Transform economic uncertainty into actionable decisions.

An API that consumes raw text (news, RSS feeds, market data) and returns machine-parseable decision signals — not data dumps. Built for autonomous agents operating in the A2A economy.

{
  "signal":           "EXECUTE",
  "value":            80,
  "volatility":       "EXTREME",
  "confidence_score": 0.9,
  "context":          "Routes:suez_europe Risk:80 Carriers:maersk,msc",
  "source":           "Arsenal Decision Engine v1.0"
}

What This Engine Does

The Decision Intelligence Layer covers three economic domains:

Domain	What it detects	Output signal
Market Psychology	Fear/Greed in financial news	`EXECUTE` / `HEDGE` / `DELAY`
Maritime Freight	Disruption risk per corridor + True Price	`ALERT` / `MONITOR` / `HEDGE`
DeFi Arbitrage	R_net vs flash loan cost (6-filter matrix)	`EXECUTE` / `HEDGE` / `DELAY`

The engine does not expose raw scores. Every response is a decision.

Related MCP server: zarq-risk-intelligence

Signal Reference

All endpoints return the §4 Standard Decision Output. Read signal first:

Signal	Meaning	Recommended agent action
`EXECUTE`	All conditions confirmed, positive expected value	Proceed if `confidence_score` ≥ 0.85
`HEDGE`	Negative expected value or extreme fear	Exit / protect positions
`DELAY`	Insufficient signal or conditions misaligned	Re-evaluate in 15–60 min
`ALERT`	Urgent disruption detected	Escalate immediately
`MONITOR`	Neutral — no immediate action needed	Schedule re-evaluation

Confidence gating rule (mandatory for autonomous agents):

confidence_score >= 0.85  → autonomous execution permitted
confidence_score <  0.60  → human review required
arbitration_required=true → human review mandatory (overrides score)

Quick Start

1. Get an API Key

Contact the provisioning endpoint or subscribe via the billing portal.

2. Analyze a news headline

curl -X POST https://api.arsenal-quant.com/analyze \
  -H "X-API-Key: YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "Markets crash in panic sell-off. Banks face bankruptcy amid recession fears."}'

Response:

{
  "value": 10,
  "change_pct": 0.0,
  "volatility": "HIGH",
  "trend": "DOWN",
  "confidence_score": 0.9,
  "signal": "HEDGE",
  "context": "Bull:0 Bear:3 Net:-3 Hits:3",
  "data_freshness_seconds": 0,
  "source": "Arsenal Decision Engine v1.0"
}

3. Maritime freight risk

curl -X POST https://api.arsenal-quant.com/analyze/maritime \
  -H "X-API-Key: YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Houthi missile strikes in Red Sea. Maersk rerouting via Cape of Good Hope.",
    "zone": "suez_europe"
  }'

4. DeFi arbitrage evaluation

curl -X POST https://api.arsenal-quant.com/analyze/arbitrage \
  -H "X-API-Key: YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "entry_price_usd": 100.0,
    "exit_price_usd": 115.0,
    "stop_loss_price_usd": 95.0,
    "position_size_usd": 10000.0,
    "gross_yield_usd": 1500.0,
    "gas_usd": 8.0,
    "flash_loan_amount_usd": 10000.0,
    "atr_values": [1.2, 1.5, 1.8],
    "resistance_level_usd": 98.0,
    "candle_close_4h_usd": 101.5,
    "volume_24h": 5500000,
    "volume_sma_20": 3000000,
    "volume_stddev": 1200000
  }'

Authentication

REST Endpoints (`/analyze/*`, `/pulse`)

All REST endpoints require an API key:

X-API-Key: YOUR_SUBSCRIPTION_KEY

MCP Tool Execution (`/mcp/v1/tools/execute`)

The MCP execution endpoint uses the L402 Lightning Network protocol for pay-per-decision billing.

L402 Monetization — How It Works

The /mcp/v1/tools/execute endpoint implements native A2A paywall using the L402 protocol (RFC-compatible Lightning Network authentication).

The Payment Flow

┌─────────────────┐         ┌──────────────────────────┐
│   AI Agent      │         │   Decision Intelligence  │
│   (Caller)      │         │   Layer (This API)       │
└────────┬────────┘         └──────────┬───────────────┘
         │                              │
         │  POST /mcp/v1/tools/execute  │
         │  (no Authorization header)   │
         │─────────────────────────────▶│
         │                              │
         │  HTTP 402 Payment Required   │
         │  WWW-Authenticate: L402      │
         │    macaroon="<token>"        │
         │    invoice="lnbc150n1p..."   │
         │◀─────────────────────────────│
         │                              │
         │  [Agent pays Lightning       │
         │   invoice via wallet]        │
         │  preimage obtained           │
         │                              │
         │  POST /mcp/v1/tools/execute  │
         │  Authorization: L402         │
         │    <macaroon>:<preimage>     │
         │─────────────────────────────▶│
         │                              │
         │  HTTP 200 — Tool output      │
         │  §4 Decision JSON            │
         │◀─────────────────────────────│

Pricing Model

Access tier	Method	Price	Scope
Pay-per-decision	L402 Lightning	$0.15 / call	`/mcp/v1/tools/execute`
Subscription	API Key	Negotiated	All REST `/analyze/*` endpoints

L402 Integration — Agent Code Examples

Python (with L402 library):

import httpx

# Step 1: Request (will return 402)
resp = httpx.post(
    "https://api.arsenal-quant.com/mcp/v1/tools/execute",
    json={"name": "analyze_maritime_freight_risk", "arguments": {"text": "Suez disruption"}}
)

if resp.status_code == 402:
    # Step 2: Parse WWW-Authenticate header
    auth_header = resp.headers["WWW-Authenticate"]
    # macaroon and invoice extracted from: L402 macaroon="...", invoice="lnbc..."
    invoice = parse_l402_header(auth_header)["invoice"]

    # Step 3: Pay the Lightning invoice (via your wallet API)
    preimage = pay_lightning_invoice(invoice)
    macaroon = parse_l402_header(auth_header)["macaroon"]

    # Step 4: Retry with proof of payment
    resp = httpx.post(
        "https://api.arsenal-quant.com/mcp/v1/tools/execute",
        headers={"Authorization": f"L402 {macaroon}:{preimage}"},
        json={"name": "analyze_maritime_freight_risk", "arguments": {"text": "Suez disruption"}}
    )

decision = resp.json()
print(decision["content"][0]["text"])

LangChain Tool (subscription key):

from langchain.tools import Tool
import requests

def analyze_maritime(text: str, zone: str = None) -> dict:
    """
    Analyzes maritime freight disruption risk. Returns signal=ALERT if freight
    rates will surge. signal=HEDGE if unusual drop detected. signal=MONITOR if stable.
    Always read confidence_score before acting — threshold for autonomous action: 0.85.
    """
    payload = {"text": text}
    if zone:
        payload["zone"] = zone
    resp = requests.post(
        "https://api.arsenal-quant.com/analyze/maritime",
        headers={"X-API-Key": "YOUR_KEY"},
        json=payload
    )
    return resp.json()

maritime_tool = Tool(
    name="analyze_maritime_freight_risk",
    func=analyze_maritime,
    description=analyze_maritime.__doc__
)

Google ADK (MCP auto-discovery):

from google.adk.tools import MCPToolset

# ADK fetches the server card and auto-registers all tools
toolset = MCPToolset.from_server_card(
    url="https://api.arsenal-quant.com/.well-known/mcp/server-card.json",
    auth={"type": "api_key", "value": "YOUR_KEY"}
)
# Tools available: analyze_market_psychology, analyze_maritime_freight_risk,
#                  compare_freight_corridors, evaluate_arbitrage_opportunity

API Reference

Full Specification

OpenAPI 3.1.0 spec: openapi.yaml

MCP Server Card: mcp-server.json — also served live at GET /.well-known/mcp/server-card.json

Endpoints

Method	Path	Description	Auth
`POST`	`/analyze`	Market Psychology Index (Fear/Greed)	API Key
`POST`	`/analyze/maritime`	Maritime freight risk per corridor	API Key
`POST`	`/analyze/compare`	True Price corridor comparison (Transpacific vs Suez)	API Key
`POST`	`/analyze/arbitrage`	DeFi arbitrage decision (6-filter matrix + R_net)	API Key
`GET`	`/pulse`	Live market pulse event feed	API Key
`GET`	`/mcp/v1/tools`	MCP tool registry	API Key
`POST`	`/mcp/v1/tools/execute`	MCP tool execution — pay-per-decision	L402
`GET`	`/.well-known/mcp/server-card.json`	MCP discovery (no auth)	None

Deployment

Docker (recommended)

cp .env.example .env
# Edit .env: set ENGINE_API_KEY, LIGHTNING_API_KEY, LIGHTNING_URL
docker compose up -d

The stack includes:

Decision Intelligence Layer (FastAPI on port 8002)
Lightning Hub (Alby Hub on port 8080 — for L402 invoice generation)
Cloudflare Tunnel (public HTTPS exposure — no port forwarding required)

Environment Variables

Variable	Required	Description
`ENGINE_API_KEY`	✅	Primary subscription key for REST endpoints
`LIGHTNING_API_KEY`	For L402	API key for the Lightning wallet backend
`LIGHTNING_URL`	For L402	Lightning wallet API URL (default: demo instance)
`SENSOR_INTERVAL`	No	RSS scan interval in seconds (default: 900)
`PORT`	No	Exposed port (default: 8002)

Architecture

External News / RSS Feeds
          │
          ▼
  ┌───────────────────┐
  │  Autonomous       │  Scans feeds every 15min
  │  Execution Core   │  Detects critical signals (risk > 65 or < 35)
  │  (RSS Sensor)     │  Writes to MARKET_PULSE.json
  └───────┬───────────┘
          │
          ▼
  ┌───────────────────────────────────────────────────────┐
  │            Decision Intelligence Layer                 │
  │                                                       │
  │  ┌─────────────────┐  ┌──────────────────────────┐   │
  │  │ Market Psychology│  │ Autonomous Execution Core│   │
  │  │ Index Engine     │  │ Maritime Module          │   │
  │  │ (Fear/Greed)     │  │ (Freight Risk + Pricing) │   │
  │  └─────────────────┘  └──────────────────────────┘   │
  │                                                       │
  │  ┌─────────────────────────────────────────────────┐  │
  │  │ Autonomous Execution Core — Arbitrage Module    │  │
  │  │ (6-filter quant. matrix + R_net + FL cost)      │  │
  │  └─────────────────────────────────────────────────┘  │
  │                                                       │
  │  ┌──────────────────────────────────────────────────┐ │
  │  │ Payment Gateway (L402 interface — §9)            │ │
  │  │ Current impl: L402/Lightning. Swappable to x402. │ │
  │  └──────────────────────────────────────────────────┘ │
  └───────────────────────────────────────────────────────┘
          │
          ▼
  HTTP REST + MCP Bridge
  (FastAPI · Port 8002 · <2ms p95 latency)

Performance target: < 15ms end-to-end for all decision endpoints. Optimization: O(1) set operations — no external NLP models, no GPU required.

A2A Compatibility

Framework	Integration method	Status
Google ADK	MCP auto-discovery via server card	✅ Compatible
LangChain	Tool wrapper or direct HTTP	✅ Compatible
Composio	MCP connector	✅ Compatible
AutoGen	Function calling / HTTP	✅ Compatible
Claude	MCP tool use	✅ Compatible
x402	Future — interface ready (§9 PaymentGateway)	🔬 Planned

Arsenal Decision Engine — Decision Intelligence Layer v4.1.0 "Transform economic uncertainty into actionable decisions."

Stop Agent

Sentiment_Alpha_v1

Arsenal Decision Engine — Decision Intelligence Layer

What This Engine Does

Signal Reference

Quick Start

1. Get an API Key

2. Analyze a news headline

3. Maritime freight risk

4. DeFi arbitrage evaluation

Authentication

REST Endpoints (`/analyze/*`, `/pulse`)

MCP Tool Execution (`/mcp/v1/tools/execute`)

L402 Monetization — How It Works

The Payment Flow

Pricing Model

L402 Integration — Agent Code Examples

API Reference

Full Specification

Endpoints

Deployment

Docker (recommended)

Environment Variables

Architecture

A2A Compatibility

Maintenance

Resources

Latest Blog Posts

MCP directory API

Arsenal Decision Engine — Decision Intelligence Layer

What This Engine Does

Signal Reference

Quick Start

1. Get an API Key

2. Analyze a news headline

3. Maritime freight risk

4. DeFi arbitrage evaluation

Authentication

REST Endpoints (/analyze/*, /pulse)

MCP Tool Execution (/mcp/v1/tools/execute)

L402 Monetization — How It Works

The Payment Flow

Pricing Model

L402 Integration — Agent Code Examples

API Reference

Full Specification

Endpoints

Deployment

Docker (recommended)

Environment Variables

Architecture

A2A Compatibility

Maintenance

Resources

Latest Blog Posts

MCP directory API

REST Endpoints (`/analyze/*`, `/pulse`)

MCP Tool Execution (`/mcp/v1/tools/execute`)