simulate_price
shallowio.github.sailorpepe/undesirables-mcp-server · Verify this server
Predict future trading card value. The default model is the conformal-calibrated risk forecast (deterministic drift + regime-aware split-conformal bands, honest VaR/CVaR, plus Safe-Hold & Momentum letter grades). Monte Carlo GBM and Merton jump-diffusion are available opt-in via model="gbm" or model="merton". Returns full forecast percentiles (5th–95th), model parameters, and confidence intervals with complete mathematical transparency. PAID: $0.015 USDC per call. Use this when: a user wants to know "what will this card be worth in 3 months?" or wants price trajectory predictions.
1 trials · measured 8 days ago
simulate_price scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.sailorpepe/undesirables-mcp-server, 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 + stdio
- Credential class
- self-provisionable
- Category
- Finance & compliance
- 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.
Embed this score
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