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Citiview Second Opinion – Multi-Model AI Consensus
x402
Citiview Second Opinion – Multi-Model AI Consensus is a paid API for AI agents from agents.citiviewgroup.com, paid per call via x402, $0.04/call, status unknown (last checked 2026-10-14).
Sends a question to three different AI models independently, then returns a consensus answer, disagreement points, confidence level, and a combined best answer.
Price / call$0.04
Success—
StatusUnknown
How this service works
Second opinion: three different AI models (gpt-oss-120b, Llama 3.3 70B, Gemma 4) answer independently, then you get the consensus, the points they disagree on, a confidence level and a combined best answer. Also callable as GET with the same fields as query parameters.
Output
Returns a structured response containing: (1) the consensus across all three models, (2) specific points where the models disagree, (3) a confidence level score, and (4) a synthesized best combined answer drawing on all model outputs.
Example use cases
Fact-checking a disputed claim
“I keep getting different answers about whether vitamin D supplements prevent COVID. Can you run that question through three AI models and show me where they agree, where they differ, and give me a final confidence-rated answer?”
Medical or legal decision support
“Before I act on this, ask multiple AI models: 'Is it legal to record a phone call without consent in California?' — then tell me the consensus, any disagreements between the models, and how confident the combined answer is.”
Validating code logic correctness
“I want a second opinion on whether my approach is right — ask three AI models: 'Is it safe to use parseInt() without a radix argument in JavaScript?' and give me what they agree on, what they disagree on, and the best combined answer.”
Technical details
Endpoint
GEThttps://agents.citiviewgroup.com/v1/second-opinion?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need higher-confidence answers and want to reduce hallucination risk by cross-checking multiple AI models. Ideal when a single AI response is insufficient for important decisions, when you want to surface model disagreement on controversial or nuanced topics, or when you need a confidence indicator to assess answer reliability. Prefer this over a single-model chat endpoint when correctness matters more than speed.
Side effects
- Missing required 'question' query parameter returns validation error
- One or more upstream model APIs unavailable may degrade consensus quality or cause failure
- Very long or ambiguous questions may produce low-confidence or inconsistent consensus
- Network timeout if all three model calls take too long
- Invalid or malformed input types return schema validation errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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