# Agent Council – Quick Panel (3 Models, 1 Round)

> Agent Council – Quick Panel (3 Models, 1 Round) is a paid API for AI agents from council.cyberwarex.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).

Submits a decision question to a panel of 3 independent AI models, then returns a synthesized verdict with confidence score, consensus points, dissent, and what would flip the answer.

## Facts

- Endpoint: GET https://council.cyberwarex.com/council?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/agent-council-quick-panel-3-models-1-round-0a119bd1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rHh65-haA3YYPf6ccfBTZ

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 agent-council-quick-panel-3-models-1-round-0a119bd1
```

Example prompt: Ask the AI council whether we should launch our new pricing model next week or wait until Q2 — we'd be moving from flat-rate to usage-based, and our top 20 customers haven't been notified yet.

## When to prefer this

Choose this endpoint when you need a quick, cheap multi-model sanity check on a binary or comparative judgement call and a single AI opinion feels insufficient. It's ideal for go/no-go decisions, option comparisons, or safety checks where you want structured dissent and a confidence signal. Prefer the deep council (4 models, 2 rounds) for higher-stakes decisions, and the grounded council when the question depends heavily on current facts. At $0.01 USDC with no account or API key required, it's the lowest-friction option for one-shot deliberation.

## Known failure modes

- Missing required 'q' parameter returns a 400 or error response
- Question exceeds 2000 character limit and is rejected
- One or more underlying AI model calls fail, potentially degrading confidence or response completeness
- Payment of 0.01 USDC not completed or x402 handshake fails, resulting in 402 Payment Required
- Ambiguous or poorly framed question produces a low-confidence verdict with broad dissent
- Network timeout if deliberation takes longer than expected

## How this service works

Put one question to a panel of 3 different AI models and get a single verdict back. Each model answers independently, then a chair synthesizes: verdict, confidence, the points they all agreed on, the dissent, and what would flip the answer. Use it for judgement calls where one model's opinion is not enough: is this safe, is this worth it, which option. No account, no API key, one USDC micropayment per call.

## Output

Returns a JSON object containing: a synthesized verdict string, an integer confidence score (0–100, lower when seats disagreed), an array of consensus points all models agreed on, a dissent array of real disagreements between seats, a watch_for array of conditions that would flip the verdict, a panel array with each seat's individual position and the model behind it, plus metadata (seats, rounds, mode, elapsed_sec, original question).

## 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",
      "HEAD",
      "DELETE"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "q"
     ],
     "properties": {
      "q": {
       "type": "string",
       "maxLength": 2000,
       "description": "The question to put to the council (required, max 2000 chars). A decision question works best: include the options and the constraints."
      }
     },
     "additionalProperties": false
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object",
     "properties": {
      "mode": {
       "enum": [
        "quick",
        "deep"
       ],
       "type": "string"
      },
      "panel": {
       "type": "array",
       "items": {
        "type": "object"
       },
       "description": "each seat's position, confidence and the model that argued it."
      },
      "seats": {
       "type": "integer"
      },
      "rounds": {
       "type": "integer"
      },
      "dissent": {
       "type": "array",
       "items": {
        "type": "object"
       },
       "description": "real disagreements, as {seat, point} - empty when the panel agreed."
      },
      "verdict": {
       "type": "string",
       "description": "the council's answer, synthesized by the chair."
      },
      "question": {
       "type": "string"
      },
      "consensus": {
       "type": "array",
       "items": {
        "type": "string"
       }
      },
      "watch_for": {
       "type": "array",
       "items": {
        "type": "string"
       },
       "description": "what would flip the verdict."
      },
      "confidence": {
       "type": "integer",
       "description": "0-100, lower when the seats disagreed."
      },
      "elapsed_sec": {
       "type": "number"
      }
     }
    }
   }
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agent-council-quick-panel-3-models-1-round-0a119bd1/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from council.cyberwarex.com](https://www.zero.xyz/host/council.cyberwarex.com/llms.txt)