oruk_analyze_tone
shallowai.oruk/speech · Verify this server
Score how speech sounds without transcribing it: calibrated multilabel emotion (happy, frustrated, worried, …) and speaking-style (sarcastic, confident, hesitant, warm, …) predictions per acoustic segment. Use this when the user asks about mood, delivery, sentiment, sarcasm, or emotional dynamics in audio. Accepts a public audio URL or base64 bytes (≤30 MB / ≤60 min, English). Outputs are calibrated acoustic annotations of delivery, not claims about inner state. Need the words too? Use oruk_analyze_speech.
1 trials · measured 8 days ago
oruk_analyze_tone scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against ai.oruk/speech, 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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[](https://vouch.tools/tools/6efcb957-1efe-4baf-a799-a8f33be7833b)