AlphaBook Risk Lab MCP
Pricing
from $20.00 / 1,000 analysis calls
AlphaBook Risk Lab MCP
Risk analytics engine as a remote MCP server. Six tools: get_volatility, get_max_drawdown, get_beta, get_var, get_correlation, rank_risk.
Pricing
from $20.00 / 1,000 analysis calls
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Developer
Neeen Ja
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10 days ago
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Risk analytics engine as a remote MCP server. It gives your agent risk metrics with interpretation and invalidation levels — not a pile of raw price series. Six tools cover realized volatility, maximum drawdown, market beta, historical VaR, correlation and a basket risk ranking. All metrics are pure price-derived and work on A-shares, HK, US and global markets through free public data. No API key. Not investment advice.
Honest boundary: historical VaR only reflects the in-sample tail and underestimates real risk in fat-tailed / gap events; beta and correlation depend on aligned return samples and can break down in crises (correlations converge to 1). These limits are declared in every tool output. A low risk score is not a guarantee of safety.
Tools
| Tool | Event | Returns |
|---|---|---|
get_volatility | tool-call $0.02 | Annualized realized volatility + risk band |
get_max_drawdown | tool-call $0.02 | Peak-to-trough max drawdown + severity band + trough date |
get_beta | tool-call $0.02 | Market beta vs benchmark (default CSI 300) + defensive/aggressive read |
get_var | tool-call $0.02 | 1-day historical VaR at configurable confidence (default 95%) |
get_correlation | tool-call $0.02 | Pearson correlation of two assets + diversifying/concentrated read |
rank_risk | screen-call $0.05 | Composite risk ranking of up to 10 codes (lower = safer) |
Connect (MCP client)
https://neeenja--alphabook-risk-lab.apify.actor/mcpAuthorization: Bearer <APIFY_TOKEN>
POST JSON-RPC: initialize, tools/list, tools/call. Example:
{"jsonrpc": "2.0","id": 1,"method": "tools/call","params": { "name": "get_volatility", "arguments": { "code": "600519" } }}
Pricing
Pay-per-event. initialize and tools/list are free. Each analysis call is $0.02; a composite basket risk ranking (rank_risk) is $0.05 because it scores up to 10 symbols.
Data sources & honest limits
- Klines: Tencent
gtimg.cn(A/HK/US) and Yahoo (global). Free, no key. - Missing data →
n/a, never a fabricated0. - Every output carries a
NOT_ADVICEdisclaimer.
AlphaBook 风险实验室 MCP
风险分析引擎,以远程 MCP 服务器形式提供。它给 agent 的是 带解读与失效位的风险指标,而非一堆原始价格序列。六个工具覆盖已实现波动率、最大回撤、市场 Beta、历史 VaR、相关性与篮子风险排名。全部指标纯价格派生,支持 A 股、港股、美股与全球市场,免费公开数据,无需 API Key。不构成投资建议。
诚实边界: 历史法 VaR 仅反映样本内尾部,对肥尾/跳空行情会低估真实风险;Beta 与相关依赖对齐收益样本,危机期可能失效(相关性向 1 收敛)。这些限制在工具输出中均如实声明。风险分低≠一定安全。
工具
| 工具 | 计费事件 | 返回 |
|---|---|---|
get_volatility | tool-call $0.02 | 年化已实现波动率 + 风险档位 |
get_max_drawdown | tool-call $0.02 | 峰谷最大回撤 + 严重档位 + 回撤谷日期 |
get_beta | tool-call $0.02 | 对基准的 Beta(默认沪深300)+ 防御/进攻判读 |
get_var | tool-call $0.02 | 可配置信度的单日历史 VaR(默认 95%) |
get_correlation | tool-call $0.02 | 两资产 Pearson 相关性 + 可分散/集中判读 |
rank_risk | screen-call $0.05 | 最多 10 只标的的综合风险排名(越低越安全) |
连接(MCP 客户端)
https://neeenja--alphabook-risk-lab.apify.actor/mcpAuthorization: Bearer <APIFY_TOKEN>
发送 JSON-RPC:initialize、tools/list、tools/call。示例:
{"jsonrpc": "2.0","id": 1,"method": "tools/call","params": { "name": "get_volatility", "arguments": { "code": "600519" } }}
计费
按事件付费。initialize 与 tools/list 免费。每次分析调用 $0.02;篮子风险排名(rank_risk)为 $0.05,因其最多评分 10 只标的。
数据源与诚实边界
- K 线: 腾讯
gtimg.cn(A/港/美)与 Yahoo(全球),免费、无 Key。 - 数据缺失 → 返回
n/a,绝不编造0。 - 所有输出均带
NOT_ADVICE免责声明。
AlphaBook 風險實驗室 MCP
風險分析引擎,以遠端 MCP 伺服器形式提供。它給 agent 的是 帶解讀與失效位的風險指標,而非一堆原始價格序列。六個工具涵蓋已實現波動率、最大回撤、市場 Beta、歷史 VaR、相關性與籃子風險排名。全部指標純價格派生,支援 A 股、港股、美股與全球市場,免費公開資料,無需 API Key。不構成投資建議。
誠實邊界: 歷史法 VaR 僅反映樣本內尾部,對肥尾/跳空行情會低估真實風險;Beta 與相關依賴對齊收益樣本,危機期可能失效(相關性向 1 收斂)。這些限制在工具輸出中均如實聲明。風險分低≠一定安全。
工具
| 工具 | 計費事件 | 回傳 |
|---|---|---|
get_volatility | tool-call $0.02 | 年化已實現波動率 + 風險檔位 |
get_max_drawdown | tool-call $0.02 | 峰谷最大回撤 + 嚴重檔位 + 回撤谷日期 |
get_beta | tool-call $0.02 | 對基準的 Beta(預設滬深300)+ 防禦/進攻判讀 |
get_var | tool-call $0.02 | 可配信賴度的單日歷史 VaR(預設 95%) |
get_correlation | tool-call $0.02 | 兩資產 Pearson 相關性 + 可分散/集中判讀 |
rank_risk | screen-call $0.05 | 最多 10 檔標的的綜合風險排名(越低越安全) |
連線(MCP 用戶端)
https://neeenja--alphabook-risk-lab.apify.actor/mcpAuthorization: Bearer <APIFY_TOKEN>
發送 JSON-RPC:initialize、tools/list、tools/call。範例:
{"jsonrpc": "2.0","id": 1,"method": "tools/call","params": { "name": "get_volatility", "arguments": { "code": "600519" } }}
計費
按事件付費。initialize 與 tools/list 免費。每次分析呼叫 $0.02;籃子風險排名(rank_risk)為 $0.05,因其最多評分 10 檔標的。
資料來源與誠實邊界
- K 線: 騰訊
gtimg.cn(A/港/美)與 Yahoo(全球),免費、無需 Key。 - 資料缺失 → 回傳
n/a,絕不編造0。 - 所有輸出均附
NOT_ADVICE免責聲明。

