Arsenal Decision Engine

io.github.Faouzi122v2.0.1更新于 Sep 29, 2026

R_net LP risk evaluator for DeFAI agents. IL + Breakeven Corridor O(1). L402 Lightning paywall.

已验证Streamable HTTP可网页运行Other

安装

在 SourceWeft 中

  1. 打开 控制台中的 Arsenal Decision Engine,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "arsenal-decision-engine": {
      "type": "http",
      "url": "https://api.arsenal-quant.com/mcp"
    }
  }
}

README

Arsenal Decision Engine 🛡️

The Risk-Validation Layer for Autonomous AI Agents (DeFAI)

[Arsenal-Quant-Project MCP server] [smithery badge]

Method and raw results are published — backtest script · result data (180 days of Binance ETH/USDC daily closes): 🔬 Breakeven Corridor is a deterministic algebraic boundary (where IL = accumulated yield). Any position whose price ratio stays within [lower_be, upper_be] has R_net > 0 by mathematical definition — not a probabilistic model. 📐 This engine measures; it does not forecast. No predictive-accuracy figure is claimed — read the published result files and judge the method for yourself.


Mission

Transform DeFi uncertainty into deterministic, actionable risk metrics for autonomous agents. We do not run stateful trading bots or generate speculative prediction signals; we provide a stateless risk middleware layer that agents query before deploying or maintaining standard constant-product / full-range LP positions.

Built for agents. 100 free calls per IP per day — no wallet, no sign-up, custom parameters included. An L402 payment path is implemented in the gateway but is not operational in production: today, the engine is free to use.


What This Engine Does

Before an autonomous agent deploys capital or adjusts a standard constant-product / full-range LP position (such as Uniswap V2 or full-range V3), it submits the pool parameters (APY, price ratio, days held) to our API. The engine computes the exact mathematical risk, the net return ($R_{net}$), and the dynamic Breakeven Corridor bounds.

  • No LLMs. No hallucinations. Pure algebraic calculation.
  • Complexity: $\mathcal{O}(1)$ time and memory.
  • Latency: $< 15\text{ms}$ local execution.

Two ways to call it

1. MCP JSON-RPC — the endpoint advertised on the MCP registry

POST https://api.arsenal-quant.com/mcp
json
{"jsonrpc":"2.0","id":1,"method":"tools/call", "params":{"name":"evaluate_pool",           "arguments":{"apy":0.20,"price_ratio":0.85,"days_held":30}}}

Standard MCP handshake: initialize → tools/list → tools/call. Available over streamable HTTP and stdio.

2. REST convenience route — no MCP client required

GET https://api.arsenal-quant.com/mcp/evaluate?apy=0.20&price_ratio=0.85&days_held=30

Both routes run the same calculation and the same quota. Note that /mcp/evaluate is GET-only: a POST to that path returns 405 Allow: GET, because JSON-RPC belongs on /mcp.

Engine Response (JSON Contract)

json
{  "impermanent_loss_pct": 0.3292,  "accumulated_yield_pct": 1.6438,  "r_net_pct": 1.3146,  "il_to_yield_ratio": 0.2,  "risk_level": "LOW",  "breakeven_corridor": {    "lower_ratio": 0.6941,    "upper_ratio": 1.4407,    "interpretation": "Position remains profitable if price ratio stays within [0.6941, 1.4407]"  },  "inputs": {    "apy": 0.2,    "price_ratio": 0.85,    "days_held": 30  },  "source": "Arsenal Decision Engine v2.0",  "oracle_signature": "<HMAC-SHA256 hex — illustrative placeholder, yours will differ>",  "layer": "FREE"}

layer reports how the call was served: FREE while inside the free quota, PREMIUM once an L402 payment has been verified. The call shown above is served as FREE.


Access and Pricing

  • Free tier — evaluate_pool: 100 calls per IP per day, custom parameters included. No Lightning wallet is needed. This is the only tier currently in service.
  • Beyond the free quota: the gateway implements the L402 challenge and returns 402 with a WWW-Authenticate header. The payment rail is not operational in production — invoices issued today are not settleable, and no payment is expected or accepted. Treat the paid tier as announced, not available.
  • GET /mcp/audit/latest: 3 free calls per IP per hour; beyond that the route returns 402. That response documents the protocol; it is not a live payment path.

Python Integration Example

python
import urllib.requestimport urllib.errorimport jsonimport reimport os
API_URL = "https://api.arsenal-quant.com/mcp/evaluate?apy=0.20&price_ratio=0.85&days_held=30"LNBITS_URL = "https://demo.lnbits.com"
# LNbits requires a wallet key with send permission to pay an invoice.# Use a DEDICATED wallet funded with a small working balance, and never the key# of a wallet holding significant funds. Keep it in the environment, never in code.LNBITS_PAYMENT_KEY = os.getenv("LNBITS_PAYMENT_KEY")
def query_risk_oracle():    req = urllib.request.Request(API_URL, method="GET")    req.add_header("x-agent-id", "autonomous-lp-bot")
    try:        with urllib.request.urlopen(req) as resp:            return json.loads(resp.read().decode('utf-8'))    except urllib.error.HTTPError as e:        if e.code == 402:            auth_header = e.headers.get("WWW-Authenticate")            macaroon = re.search(r'token="([^"]+)"', auth_header).group(1)            invoice = re.search(r'invoice="([^"]+)"', auth_header).group(1)
            pay_req = urllib.request.Request(                f"{LNBITS_URL}/api/v1/payments",                data=json.dumps({"out": True, "bolt11": invoice}).encode(),                headers={"X-Api-Key": LNBITS_PAYMENT_KEY, "Content-Type": "application/json"}            )            with urllib.request.urlopen(pay_req) as pay_resp:                preimage = json.loads(pay_resp.read().decode())["preimage"]
            retry_req = urllib.request.Request(API_URL, method="GET")            retry_req.add_header("Authorization", f"L402 {macaroon}:{preimage}")            retry_req.add_header("x-agent-id", "autonomous-lp-bot")
            with urllib.request.urlopen(retry_req) as final_resp:                return json.loads(final_resp.read().decode('utf-8'))        else:            raise
if __name__ == "__main__":    evaluation = query_risk_oracle()    print(f"Risk Level     : {evaluation['risk_level']}")    print(f"R_net          : {evaluation['r_net_pct']:+.4f}%")    print(f"Breakeven      : [{evaluation['breakeven_corridor']['lower_ratio']}, {evaluation['breakeven_corridor']['upper_ratio']}]")

Developer Integration

  • Integration cookbook & MCP guides: COOKBOOK.md
  • MCP auto-discovery card: https://api.arsenal-quant.com/.well-known/mcp/server-card.json

Why per-call pricing is the intended model

This engine does not prevent losses, and it makes no claim about how much money it saves you. What it does is compute — deterministically, in $\mathcal{O}(1)$ — whether a position sits above or below its breakeven boundary. Each response carries an HMAC tag over the result, which lets the engine detect tampering with its own output; it is a symmetric provenance marker, not a proof a third party can verify independently.

The intended model is per-call pricing, so the cost can be budgeted like any other input. That model is not yet in service: today every call is free.

来源:README.md,提交 c84bac2

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版本历史

1
  1. v2.0.1最新Sep 16, 2026