Verdict Answer Gate is a paid API for AI agents from verdict.kechlab.com, paid per call via x402, $0.0092/call, status unknown (last checked 2026-10-21).
Evaluates whether a small model's answer is acceptable or needs escalation to a larger model by detecting refusal, evasion, off-topic responses, contradiction, and incompleteness.
For model cascades: is the small model's answer usable, or should the larger model be paid? Detects refusal, evasion, off-topic answers, contradiction and incompleteness; decides accept, review or escalate. Does not fact-check without a source: provide the source to check substance.
A structured decision indicating accept, review, or escalate, along with detected issues such as refusal, evasion, off-topic content, contradiction, or incompleteness. When a source is provided, consistency against that reference is also evaluated.
POSThttps://verdict.kechlab.com/v1/answer-gate?utm_source=zero.xyzUse this endpoint when building LLM model cascade pipelines where you want to avoid paying for expensive large models on every query. It is ideal when a cheap/small model is the first responder and you need an automated, low-latency judge to decide whether the answer is good enough or requires escalation. Prefer this over general LLM-based evaluation when you need structured accept/review/escalate verdicts focused specifically on refusal, evasion, off-topic, contradiction, and incompleteness — not general quality scoring or fact-checking (fact-checking requires providing source text).
| Field | Type | Description |
|---|---|---|
| task | string | the requested task |
| answer | string | the answer produced by the first model |
| source | — | (optional) reference text to check consistency |
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