# Scientific Dataset Records - Unit Label Consistency Check

> Scientific Dataset Records - Unit Label Consistency Check is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.012338/call, status unknown (last checked 2026-10-20).

Checks declared aggregate count kinds against unit labels within a single scientific dataset record to identify inconsistencies.

## Facts

- Endpoint: POST https://www.mahastrategies.com/api/v1/intel/scientific-dataset-records/unit-label-consistency?utm_source=zero.xyz
- Price: $0.012338/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/scientific-dataset-records-unit-label-consistency-check-6ec22d28
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Ltq6Wk_ADrSBqKhkJHOoa

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 scientific-dataset-records-unit-label-consistency-check-6ec22d28 -d '<json body>'
```

Example prompt: Can you check this batch of up to 32 public measurements for unit label consistency — I want to know if any declared aggregate count kinds don't match their unit labels in this dataset record?

## When to prefer this

Use this endpoint when you need a quick, per-record consistency check between aggregate count kind declarations and unit labels in a single scientific dataset, study, or revision. Best suited for pre-publication audits, pipeline quality gates, or revision validation where the data is either public or synthetic and confirmed non-personal.

## Known failure modes

- measurements array empty or exceeds 32 items — rejected by schema validation
- nonpersonalMetadata not set to true — request rejected
- dataClass not one of 'public' or 'synthetic' — enum validation failure
- malformed measurement objects — partial or full analysis failure
- payment not completed — 402 response blocking access

## How this service works

Check declared aggregate count kinds against unit labels in one exact source/work/study/revision Supplied-record analysis, not independent certification. Full contract at the free describe URL.

## Output

Returns an analysis of whether the declared aggregate count kinds in the supplied measurements are consistent with their unit labels, flagging any mismatches found within the single record provided. This is a supplied-record analysis, not 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/scientific-dataset-records-unit-label-consistency-check-6ec22d28/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)