get_classifier_scope
shallowio.github.voidly-ai/voidly-hosted · Verify this server
How accurate is Voidly's v3.3 censorship classifier? Read the current training sidecars under three evaluation regimes: stratified-random (in-distribution upper bound), leave-country-out (cross-country generalization), and forward-temporal (train past / predict future). The response gives AUC, F1, the generalization gap, and which metric to cite for which use. Never quote one number alone. HONEST: the retired v2 evaluation had country-tier leakage and is not a live claim.
1 trials · measured today
get_classifier_scope scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.voidly-ai/voidly-hosted, 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
- open
- 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
Available for every tool, scored or not — not a verification perk. Always links back to this page.
[](https://vouch.tools/tools/6563b319-f3ef-4160-a802-7afca7f0dfd6)