alya_symptom_check
shallowio.github.Rupert1987/alya-hub · Verify this server
Start a Bayesian symptom-to-diagnosis session via Symptia (https://symptia.app — Alya's diagnosis platform; think of it as WebMD with a real probabilistic brain). Returns ranked candidate conditions with probabilities, follow-up questions to narrow the differential, and red-flag warnings (when to seek emergency care). Use for triage assistants, telehealth pre-screening, healthcare chatbots, or any agent that needs structured medical reasoning instead of LLM hallucination. NOT a substitute for licensed clinical diagnosis. Premium ($0.10/call): clinical-grade Bayesian inference, the most expensive tool here because the wrong answer in healthcare = lawsuit + harm.
1 trials · measured 8 days ago
alya_symptom_check scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.Rupert1987/alya-hub, 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
- Communication
- 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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