# Citiview Second Opinion – Multi-Model AI Consensus

> 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.

## Facts

- Endpoint: GET https://agents.citiviewgroup.com/v1/second-opinion?utm_source=zero.xyz
- Price: $0.04/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/citiview-second-opinion-multi-model-ai-consensus-d5883b77
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OZ2QYQCNEHu9w3b55vRzF

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability citiview-second-opinion-multi-model-ai-consensus-d5883b77
```

Example prompt: I'm not sure I trust this AI answer — ask three different models (GPT-oss-120b, Llama 3.3 70B, and Gemma 4) whether 'correlation implies causation in most scientific studies' and give me where they agree, where they disagree, and a confidence-weighted best answer.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "question"
     ],
     "properties": {
      "async": {
       "type": "boolean"
      },
      "context": {
       "type": "string"
      },
      "question": {
       "type": "string"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/citiview-second-opinion-multi-model-ai-consensus-d5883b77/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from agents.citiviewgroup.com](https://www.zero.xyz/host/agents.citiviewgroup.com/llms.txt)