Accountability infrastructure for autonomous agents
DebateTalk verifies AI agent reasoning, decisions, and actions before they execute, collaborate, or pay. Built for A2A workflows and x402 payments, it provides evidence trails, debate-based validation, approvals, and audit logs — so autonomous agents can work together, justify outcomes, and transact with accountability
Expert Perspectives by Default
DebateTalk now features specialized AI roles. From Legal Strategists to Medical Expert Checkers, our debaters embody professional expertise to provide the most balanced answers.
DebateTalk in your pocket.
The full power of multi-model AI debates is now native on mobile. Run debates, ask follow-up questions, and explore consensus on the go.
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Real-time Stream Engine
Watch elite models debate and synthesize answers live on your phone.
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Fully Synchronized History
Access your debate history, API usage, and settings across web and mobile.
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Google Sign-In Enabled
Secure, one-tap authentication to keep your data protected.
Download DebateTalk App
Point your camera to scan & download instantly.
One AI = One opinion = Zero accountability.
The Confidence Trap
Single AI models hallucinate with full confidence. You can't tell a solid answer from a fabrication.
The Brand Bias
You trust Claude because it's Anthropic, or GPT because it's OpenAI. Brand deference lets weak reasoning hide behind a logo.
The Black Box
You get an answer. You don't get to see how it was reached, what was considered, or what was missed.
The Consensus Debate Protocol (CDP)
A structured pipeline that produces information no single model can generate.
Think of it as structured peer review for AI outputs — your models cross-examine each other before you see a result.
Submit
Ask any question — factual, normative, a proposal, prediction, or idea. The platform classifies it and selects the best model combination for the topic.
- Input types: factual, normative, proposal, prediction, brainstorm, evaluation, belief
- Optional grounding: web search or uploaded documents anchor all models to the same evidence
Debate
Your configured AI models respond independently and simultaneously — no model sees any other's response. Identities are anonymized throughout.
- No coordination, no shared context — convergence independence is the strongest trust signal
- Models then challenge, support, or refine each other's specific claims across deliberation rounds
Synthesize
An adjudicator evaluates the debate and compiles everything into the four-part output — a structured map of what's solid, contested, and unresolved.
- Consensus score decomposed into 4 visible components — not a black box number
- Every claim tagged with confidence spread, model attribution, and evidence cited
The Four-Part Output
Strong Ground
Claims all models converged on. Blind agreements at the top, later adoptions below. Each claim tagged with confidence spread and evidence cited.
“Here's what you can rely on.”
Fault Lines
Precise points of disagreement, expressed as conditionals. Tagged with which models are on which side, whether empirical or normative.
“Here's where the uncertainty lives.”
Blind Spots
Claims only one model raised but others validated after seeing them. Tagged with origin, validation status, and significance.
“Here's what you would have missed asking just one AI.”
Your Call
Decision points where AI knowledge runs out entirely. Classified as: values decisions, risk appetite, priorities, or genuine unknowables.
“Here's where you bring your own judgment.”
Bring structured debate into any AI workflow.
The DebateTalk MCP server and CLI let you run multi-model debates from Claude Desktop, Cursor, Windsurf, or your terminal, without leaving your workflow.
MCP (Model Context Protocol) lets AI assistants call external tools. Our MCP server wraps the full debate engine (blind rounds, deliberation, consensus checking) into a single run_debate tool. The CLI gives you the same power from the terminal.
Both ship as @debatetalk/mcp on npm. One package, two interfaces.
MCP Client Compatibility
| Client | MCP Support | Experience |
|---|---|---|
| Claude Code | Full | Round-by-round progress in terminal |
| Cursor / Windsurf / Zed | Full | IDE-native tool call |
| Claude Desktop | Full | Desktop app integration |
| Cline / Roo Code | Full | VS Code agent integration |
| Goose (Block) | Full | Open-source agent support |
| Claude.ai Web | Not yet | Use web app directly |
| ChatGPT | Not yet | Not MCP-compatible |
{ "mcpServers": { "debatetalk": { "command": "npx", "args": ["-y", "@debatetalk/mcp"], "env": { "DEBATETALK_API_KEY": "dt_your_key_here" } } }}Start free. Scale when you're ready.
Free
Start exploring structured debate
- 5 debates per day
- 2 rounds per debate
- Up to 3 AI debaters
- Smart model routing
- Algorithmic consensus scoring
- Watermarked output
- 1 API key
Managed
For professionals who need clarity
- Unlimited debates
- Up to 4 rounds per debate
- Up to 5 AI debaters
- All models including Claude, GPT-4o, Gemini Pro
- LLM adjudicator committee
- Full four-part debate output
- JSON audit trail export
- No watermark
- 2 API keys
Enterprise
Tailored for your organization
- Unlimited debates
- Up to 10 rounds
- Up to 10 AI debaters
- Configurable models (BYOK option)
- On-premise or private cloud deployment
- Ephemeral mode (zero data stored)
- EU AI Act, SOC2, HIPAA-ready
- Compliance audit export
- Dedicated support + SLA
All payments processed on web. No app store markup. Same model as ChatGPT and Perplexity.
Stop trusting. Start verifying.
Run your first debate in 10 seconds. No API keys. No setup.