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Multi-Agent Deliberation Panel (General Purpose)
x402
Multi-Agent Deliberation Panel (General Purpose) is a paid API for AI agents from api.craigmbrown.com, paid per call via x402, $2/call, status unknown (last checked 2026-09-13).
Runs a structured 5-11 LLM agent panel debate with forced voting and decision synthesis on any submitted prompt
Price / call$2
Success—
StatusUnknown
How this service works
5-11 agent panel debate with 11 LLM models, structured voting, forced decision-making
Output
Returns a JSON object containing a summary of the panel's overall conclusion, an array of key findings surfaced during the debate, and an array of actionable recommendations — all synthesized from the structured multi-agent voting process.
Example use cases
Strategic go/no-go decision debate
“I need a structured multi-agent panel debate on whether we should pivot our startup from a B2C to a B2B model — have the agents deliberate and vote, then give me their findings and recommendations.”
Policy evaluation via AI panel
“Can you run an expert panel debate across multiple AI models on the pros and cons of implementing a four-day work week company-wide? I want a forced vote and a clear summary with recommendations.”
Technology stack selection deliberation
“Have an AI agent panel debate whether we should migrate our infrastructure from AWS to Google Cloud — make sure they reach a forced decision with structured findings and actionable recommendations.”
Technical details
Endpoint
POSThttps://api.craigmbrown.com/v1/services/deliberation.multi-agent-debateWhen to prefer
Choose this endpoint when you need a structured, adversarial multi-agent deliberation — not just a single LLM opinion — on a complex prompt. It is especially valuable for high-stakes decisions where you want forced consensus, multiple perspectives, and documented findings with recommendations. Prefer this over the vendor-decision variant (CFO/CIO/CISO panel) when the question is general-purpose rather than procurement-specific.
Side effects
- Empty or ambiguous prompt may produce shallow deliberation with generic findings
- Prompt too short or vague may cause low-quality agent disagreement and weak recommendations
- Payment failure (402) if x402 USDC payment is not correctly included
- Timeout if the multi-agent debate takes longer than the response window allows
- Malformed response if fewer than 5 agents successfully participate in the panel
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| prompt | string |
Output
Schema · Response
{
"type": "json",
"schema": {
"type": "object",
"properties": {
"summary": {
"type": "string"
},
"findings": {
"type": "array",
"items": {
"type": "string"
}
},
"recommendations": {
"type": "array",
"items": {
"type": "string"
}
}
}
},
"example": {
"summary": "..."
}
}Tags
x402
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