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SYNTHORA Protocol Health Decision Support
x402
SYNTHORA Protocol Health Decision Support is a paid API for AI agents from protocol-health.hergertsynthora.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-15).
Answers decision questions about protocol operational health, dependencies, incidents, and degradation signals using an AI model (Qwen3)
Price / call$0.005
Success—
StatusUnknown
How this service works
Protocol health decision support focused on operational health, dependencies, incidents and degradation signals. Qwen3.8-27B; 0.005 USDC on Base.
Output
A structured JSON object containing: a decision statement, a recommended action, an array of relevant facts, a list of sources, inferences drawn, known limitations, any contradictions in the evidence, a confidence score (0–1), and a freshness indicator for how current the assessment is.
Example use cases
Incident triage for degraded API gateway
“We're seeing a spike in latency and partial failures on our payment relay protocol — can you assess whether this looks like a real degradation incident and what action we should take right now?”
Dependency failure impact assessment
“One of our core data feed dependencies just went offline. Based on that, what's the likely impact on our protocol's health and what should our on-call team prioritize?”
Pre-deployment health gate check
“Before we push this upgrade to our staking protocol, here's the current health snapshot: block finality is slow and two validators are unresponsive. Is it safe to proceed or should we hold off?”
Technical details
Endpoint
POSThttps://protocol-health.hergertsynthora.com/service?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured, AI-driven decision support specifically about protocol operational health, incidents, and dependency degradation — particularly when you want a confidence score, explicit inferences, and a recommended action rather than just raw monitoring data. Prefer it over generic LLM queries when you need a consistent JSON response schema with facts, sources, limitations, and contradictions surfaced explicitly for SRE or on-call workflows.
Side effects
- Vague or unsupported question yields low-confidence decision with many listed limitations
- Missing context or evidence reduces fact count and may produce a hedged recommended_action
- Contradictory signals in input may populate the contradictions array and lower confidence
- Stale or unverifiable data flagged in freshness field
- Payment failure (402) prevents response entirely
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| question | string | Decision question with optional evidence/context |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"niche": "protocol_health",
"result": {
"facts": [],
"sources": [],
"decision": "...",
"freshness": "...",
"confidence": 0,
"inferences": [],
"limitations": [],
"contradictions": [],
"recommended_action": "..."
}
}
}Tags
x402
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