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Screwtape.ai — Multi-Agent Consensus Endpoint
x402
Screwtape.ai — Multi-Agent Consensus Endpoint is a paid API for AI agents from screwtape.ai, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-28).
Evaluates agreement across multiple agent outputs, returns a consensus answer, agreement score, and false-consensus risk rating (low/medium/high).
Price / call$0.005
Success—
StatusUnknown
How this service works
API for pass, fail, or retry verdicts on agent output, plus multi-agent consensus and false-consensus risk.
Output
Returns a JSON object containing: a numeric agreement_score (0–1), a false_consensus_risk enum (low/medium/high), a consensus_answer string representing the most agreed-upon output, an array of reasons explaining the verdict, an array of clusters grouping similar answers with representative samples and agent IDs, optional retention metadata, and a unique request_id for tracing.
Example use cases
Detecting copied answers in agent pipeline
“I have 3 agents that all answered 'The revenue was $4.2M' for my financial analysis task — can you check if they independently reached that conclusion or if they're just parroting each other? Run a Screwtape consensus check and tell me the false-consensus risk.”
Surfacing consensus before acting on agentic output
“Before I act on this research result, I want to verify that my 5 research agents actually agree — run a consensus check on their outputs for the task 'Which drug compound showed the highest efficacy?' and give me the agreement score and consensus answer.”
Quality gate in automated agent workflow
“As a quality gate before publishing, check whether my 4 summarization agents agree on this article's key claim — here are their outputs, and here's the original article text as evidence. Flag anything with high false-consensus risk.”
Technical details
Endpoint
POSThttps://screwtape.ai/v1/consensus?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to evaluate whether multiple agent outputs reflect genuine independent agreement versus superficial token overlap or copied answers. It is specifically designed for multi-agent pipelines where false consensus is a risk — e.g. when agents share context and may echo each other. Prefer this over simple majority-vote logic when you need explainable cluster analysis, false-consensus risk scoring, and optional evidence-grounded evaluation in a single call.
Side effects
- Fewer than 2 answers provided — request rejected (minItems:2 constraint)
- More than 16 answers provided — request rejected (maxItems:16 constraint)
- Malformed agent_id pattern (must match ^[A-Za-z0-9._:-]{1,64}$) — validation error
- High agreement_score paired with high false_consensus_risk indicates superficial/copied answers rather than independent reasoning
- No consensus_answer returned when agents are too divergent
- Network or payment failure returning 402 when x402 payment is not fulfilled
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| task | string | |
| retain | boolean | |
| answers | array | |
| version | string | Optional version tag for that agent. |
| agent_id | string | Optional tag for the agent making this call. Not the per-answer agent_id. |
| evidence | — | Optional. A string or an array of up to 20 strings. Used when scoring the agreed answer. |
Output
Schema · Response
{
"type": "json",
"schema": {
"type": "object",
"required": [
"agreement_score",
"false_consensus_risk",
"reasons",
"request_id"
],
"properties": {
"reasons": {
"type": "array",
"items": {
"type": "string"
}
},
"clusters": {
"type": "array"
},
"retention": {
"type": "object"
},
"request_id": {
"type": "string"
},
"agreement_score": {
"type": "number"
},
"consensus_answer": {
"type": "string"
},
"false_consensus_risk": {
"enum": [
"low",
"medium",
"high"
],
"type": "string"
}
}
},
"example": {
"engine": "deterministic",
"reasons": [
"Answers are nearly verbatim. High agreement may be copied rather than independent.",
"Agreement is token overlap, not a model judgment. Clusters are overlap grouping only."
],
"clusters": [
{
"role": "clustering",
"size": 3,
"agent_ids": [
"alpha",
"beta",
"gamma"
],
"representative": "The crew size was 4."
}
],
"retention": {
"retained": false
},
"request_id": "example-request-id",
"verification": "heuristic",
"agreement_score": 1,
"consensus_answer": "The crew size was 4.",
"false_consensus_risk": "high",
"unsupported_agreement": false
}
}Tags
x402
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