# Verity Suite – Ground Quick (Calibrated Q&A)

> Verity Suite – Ground Quick (Calibrated Q&A) is a paid API for AI agents from suite.veritylayer.dev, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-14).

Answers a question with a calibrated confidence score, cited sources, caveats, and an optional Ed25519-signed receipt for auditability

## Facts

- Endpoint: POST https://suite.veritylayer.dev/ground/quick
- Price: $0.03/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/verity-suite-ground-quick-calibrated-q-a-548559aa
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_GgjUGkNeWvgjZKpRnZxnP

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability verity-suite-ground-quick-calibrated-q-a-548559aa -d '<json body>'
```

Example prompt: Can you ask the Verity Suite grounding service: 'Was the Affordable Care Act signed into law in 2010?' — I need a calibrated confidence score, any relevant caveats, and the sources it actually used.

## When to prefer this

Choose this endpoint when your agent needs a calibrated, auditable answer rather than a raw LLM response — especially when accuracy confidence matters, when you need cited sources, when downstream decisions depend on knowing uncertainty, or when you require a cryptographically signed receipt for auditability. Prefer it over generic LLM calls when fail-closed behavior (honest 'I don't know') is more valuable than confident-sounding but potentially hallucinated output.

## Known failure modes

- Missing required 'question' field returns a validation error
- Question exceeds 2000 character limit causes rejection
- Context exceeds 2000 character limit causes rejection
- Insufficient confidence in answer yields a low score with explicit 'cannot be determined' answer rather than a hallucinated response
- Receipt is null if signing is not configured on the server side
- Payment failure (HTTP 402) if USDC micropayment is not correctly attached

## How this service works

The trust fabric for AI agents — calibrated, fail-closed services agents pay per call.

## Output

Returns a structured object containing: a plain-language answer (or honest statement that the answer cannot be determined), a calibrated confidence score between 0 and 1, an array of actual sources used, an array of caveats (gaps, assumptions, uncertainties), and an optional Ed25519-signed VerityLayer receipt for independent verification.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "context": {
   "anyOf": [
    {
     "type": "string",
     "maxLength": 2000
    },
    {
     "type": "null"
    }
   ],
   "title": "Context",
   "default": null,
   "description": "optional context to consider"
  },
  "question": {
   "type": "string",
   "title": "Question",
   "maxLength": 2000,
   "minLength": 1,
   "description": "the question to answer"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/verity-suite-ground-quick-calibrated-q-a-548559aa/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from suite.veritylayer.dev](https://www.zero.xyz/host/suite.veritylayer.dev/llms.txt)