# Catalyst Measurements - Unit-Label Consistency Checker

> Catalyst Measurements - Unit-Label Consistency Checker is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.012318/call, status unknown (last checked 2026-10-20).

Checks quantity/unit label compatibility and detects conflicting unit labels within a catalyst measurement dataset, without performing numerical unit conversion.

## Facts

- Endpoint: POST https://www.mahastrategies.com/api/v1/compute/catalyst-measurements/unit-label-consistency?utm_source=zero.xyz
- Price: $0.012318/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/catalyst-measurements-unit-label-consistency-checker-b4a3fc29
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_xCn9GMb4cSJqmdzgBF_Is

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 catalyst-measurements-unit-label-consistency-checker-b4a3fc29 -d '<json body>'
```

Example prompt: Check my catalyst measurement records for any conflicting or incompatible unit labels — I have 12 public measurements in the same dataset and I need to know if any of the unit labels clash before I proceed with the analysis.

## When to prefer this

Use this endpoint when you need to verify unit label coherence within a catalyst measurement dataset before downstream analysis, reporting, or evidence review — specifically when you want label-level conflict detection without any numerical unit conversion. Ideal for pre-submission QA on lab data, imported measurement batches, or multi-run catalyst datasets where unit labeling errors are a known risk.

## Known failure modes

- More than 32 measurement items supplied — request rejected due to maxItems constraint
- Missing or invalid dataClass enum value (must be 'public' or 'synthetic')
- nonpersonalMetadata not set to true — required field missing
- Malformed measurement records causing schema validation failure
- Empty measurements array (minItems:1 not satisfied)

## 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 catalyst measurement Supplied-record analysis, not independent certification. Full contract at the free describe URL.

## Output

Returns a consistency report indicating whether all unit labels within the supplied catalyst measurement records are compatible, identifying any conflicting or incompatible unit label pairs within the same dataset/subject/run/method/revision/quantity frame. Does not perform numerical conversion — outputs label-level conflict detection only.

## 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/catalyst-measurements-unit-label-consistency-checker-b4a3fc29/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)