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Verdict Reply Guard
x402
Verdict Reply Guard is a paid API for AI agents from verdict.kechlab.com, paid per call via x402, $0.0256/call, status unknown (last checked 2026-10-21).
Screens a customer-support bot's outbound reply for unauthorized promises, hallucinated facts, leaked data, off-topic responses, and tone violations before sending, returning send, human_review, or block.
Price / call$0.0256
Success—
StatusUnknown
How this service works
Output guardrail for customer-support chatbots. Blocks unauthorized promises, invented facts, leaked instructions or customer data, off-topic answers and bad tone before the reply is sent. Returns send, human_review or block.
Output
Returns a three-way decision: 'send' (reply is safe to deliver), 'human_review' (reply needs a human agent to check before sending), or 'block' (reply must not be sent), along with a reason describing which guardrail was triggered — unauthorized promise, hallucinated fact, leaked PII, off-topic content, or tone violation.
Example use cases
Block unauthorized refund promise
“Before my support bot sends this reply, check it against our refund policy — the customer asked about a late delivery and the bot replied 'We'll refund you immediately,' but our policy says refunds only apply after 7 business days. Flag it if the bot is making a promise we can't keep.”
Route hallucinated fact to human
“My chatbot just generated this reply to a customer asking about our return window: 'You have 60 days to return any item.' Our actual policy is 30 days — can you screen this before it goes out and route it to a human agent if the bot is inventing facts?”
Catch leaked customer data in reply
“Before we send this support reply, check if it accidentally exposes any sensitive customer info — the bot's draft includes what looks like the customer's full address and account number in the response body, which it should never echo back.”
Technical details
Endpoint
POSThttps://verdict.kechlab.com/v1/reply-guard?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a real-time, pre-send output guardrail specifically for customer-support chatbots — it combines promise detection, hallucination checking, PII leak detection, off-topic filtering, and tone enforcement in a single call, returning an actionable three-way routing decision. Prefer it over generic content moderation APIs when you need policy-aware and fact-aware validation rather than simple toxicity filtering.
Side effects
- Missing bot_reply field returns a validation error
- Ambiguous or very short replies may produce conservative human_review decisions
- Policy or facts fields left empty reduce accuracy of promise and hallucination checks
- Very long bot replies may increase latency slightly
- Payment failure (402) if USDC balance is insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| facts | string | (optional) the known data (order, account...) |
| policy | string | (optional) the company policy |
| bot_reply | string | the reply the bot is about to send |
| customer_question | string | the customer question |
Tags
x402
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