anomaly_detection
shallowio.github.jcdreamjc/wudao-mcp · Verify this server
按交易所规则检测个股价格偏离基准指数的异动：3日偏离±20%/±30%（主板/双创），主板风险警示股历史按生效日切换旧/新口径，10日严重异动等，自动区分板块阈值 何时使用: 监管口径异动和风险提示；主板风险警示股票按规则生效日自动切换旧/新异常波动口径。 【链接】rows/items/嵌套股票对象含 code/name；列股必须用 `[name(code)](https://stock.quicktiny.cn/quote/<code>)` markdown 链接。
1 trials · measured 3 days ago
anomaly_detection scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.jcdreamjc/wudao-mcp, measured 18 Oct 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- self-provisionable
- Category
- Developer infrastructure
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-18 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
Embed this score
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[](https://vouch.tools/tools/1bb3d295-e657-4aa5-8243-5664aebb7081)