# Optical Measurements Unit-Label Consistency Checker

> Optical Measurements Unit-Label Consistency Checker is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.012323/call, status unknown (last checked 2026-10-16).

Validates quantity/unit label compatibility and detects conflicting unit labels within a single optical measurement dataset/subject/run/method/revision/quantity frame, without performing numerical conversion.

## Facts

- Endpoint: POST https://www.mahastrategies.com/api/v1/compute/optical-measurements/unit-label-consistency?utm_source=zero.xyz
- Price: $0.012323/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/optical-measurements-unit-label-consistency-checker-e9a3f677
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_O_Cqy6pc96_FQx9oUTpwR

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 optical-measurements-unit-label-consistency-checker-e9a3f677 -d '<json body>'
```

Example prompt: Can you check my optical measurement dataset — it's public data and contains no personal information — for any conflicting or incompatible unit labels within the same run and revision frame?

## When to prefer this

Use this endpoint when you need to catch unit-label conflicts or quantity-unit incompatibilities within a single, scoped optical measurement dataset before export or publication — particularly when you do not need numerical conversion but only label-level consistency assurance. Prefer this over general-purpose unit converters or schema validators when the scope is specifically optical measurements with a defined run/revision/method frame.

## Known failure modes

- Array exceeds 32-item limit — request rejected
- nonpersonalMetadata not set to true — request rejected
- dataClass not one of 'public' or 'synthetic' — validation error
- Empty measurements array — minimum 1 item required
- Malformed measurement objects — schema validation failure
- Ambiguous or unrecognized unit label strings — may return inconclusive result

## How this service works

Check quantity/unit compatibility and conflicting unit labels only within the same dataset/subject/run/method/revision/quantity frame; never convert numerically for optical export Supplied-record analysis, not independent certification. Full contract at the free describe URL.

## Output

Returns a consistency report indicating whether the unit labels in the supplied optical measurements are compatible within the specified dataset/subject/run/method/revision/quantity frame, identifying any conflicting or incompatible unit label pairs. Does not perform numerical unit conversion — analysis is limited to label-level compatibility checking.

## 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/optical-measurements-unit-label-consistency-checker-e9a3f677/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)