# Neural Interface Records - Unit-Label Consistency Checker

> Neural Interface Records - Unit-Label Consistency Checker is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.012326/call, status unknown (last checked 2026-10-16).

Audits quantity and unit labels within a supplied set of measurements for consistency, including coordinate, clock, model, and calibration labels.

## Facts

- Endpoint: POST https://www.mahastrategies.com/api/v1/compute/neural-interface-records/unit-label-consistency?utm_source=zero.xyz
- Price: $0.012326/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/neural-interface-records-unit-label-consistency-checker-6179340b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JxZ76-aEmDoiSEsgwH0yQ

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 neural-interface-records-unit-label-consistency-checker-6179340b -d '<json body>'
```

Example prompt: Can you audit the unit labels in these 10 measurement records — they're synthetic, non-personal data — and tell me if any quantity or coordinate labels are inconsistent with each other?

## When to prefer this

Use this endpoint when you need a quick, per-call audit of unit and quantity label consistency within a bounded set of up to 32 measurement records, particularly when those records include coordinate, clock, model, or calibration data. Best suited for synthetic or public (non-personal) data scenarios where you want to catch label mismatches before downstream processing, not when you need independent certification or broad dataset profiling.

## Known failure modes

- Measurements array empty or exceeds 32-item limit — validation error returned
- dataClass not one of 'public' or 'synthetic' — schema validation failure
- nonpersonalMetadata not set to true — request rejected
- Malformed measurement entries — parsing or schema error
- Network or payment failure — 402 or 5xx response

## How this service works

Audit quantity/unit labels in the exact supplied frame, including coordinate/clock or model/calibration Supplied-record analysis, not independent certification. Full contract at the free describe URL.

## Output

Returns an analysis of unit and quantity label consistency across the supplied measurement records, flagging any inconsistencies found in coordinate, clock, model, or calibration labels. Results are scoped strictly to the supplied records and do not constitute independent certification.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "dataClass": {
   "enum": [
    "public",
    "synthetic"
   ],
   "type": "string"
  },
  "measurements": {
   "type": "array",
   "maxItems": 32,
   "minItems": 1
  },
  "nonpersonalMetadata": {
   "type": "boolean",
   "const": true
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/neural-interface-records-unit-label-consistency-checker-6179340b/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from www.mahastrategies.com](https://www.zero.xyz/host/www.mahastrategies.com/llms.txt)