get_causal_drivers
shallowio.github.serkvay13/nerai-mcp · Verify this server
NERAI's causal network for a country: Granger-significant lead-lag relationships (p<0.01) showing which risk signals lead which others, with the lag in days and F-statistic. Use to explain WHY a risk is building, not just that it is.
1 trials · measured today
get_causal_drivers scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.serkvay13/nerai-mcp, measured 20 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
- gated
- Category
- Legal & government
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-20 | 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/df1bb53e-a395-4e1d-a5fa-8645214aa282)