generate_optimized_verdict
shallowio.github.paarths-collab/quant-brain-mcp · Verify this server
Optimize a portfolio and return backtest metrics plus a final verdict. Args: tickers: List of ticker symbols (e.g. ["AAPL", "RELIANCE.NS"]) amount: Investment amount used for allocation context optimize_type: Optimization mode. Supported values are: "mvo", "hrp", "max_sharpe", "min_volatility", "black_litterman", "cvar", "semivariance". period: History window for price data, e.g. "1y", "2y", "5y", "10y" (default "2y"). Longer windows give the optimizer and backtest more data at the cost of a slower fetch.
1 trials · measured 8 days ago
generate_optimized_verdict scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.paarths-collab/quant-brain-mcp, measured 25 Aug 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
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 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.
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