# Edition Records - Unit-Label Consistency Check

> Edition Records - Unit-Label Consistency Check is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.012341/call, status unknown (last checked 2026-10-16).

Validates that declared aggregate count kinds in an edition record are consistent with their associated unit labels within a single source, work, study, or revision.

## Facts

- Endpoint: POST https://www.mahastrategies.com/api/v1/library/edition-records/unit-label-consistency?utm_source=zero.xyz
- Price: $0.012341/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/edition-records-unit-label-consistency-check-8944e31d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IOi7sPVmTzI0s8eJtuHIU

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 edition-records-unit-label-consistency-check-8944e31d -d '<json body>'
```

Example prompt: Can you check whether the unit labels in this edition record are consistent with the declared aggregate count kinds? It's a synthetic dataset with these 5 measurements — flag any mismatches between the count types and their units.

## When to prefer this

Use this endpoint when you need to validate that declared aggregate count kinds are internally consistent with unit labels within a single, well-defined edition record (source, work, study, or revision). It is best suited for pre-submission quality checks on library or research edition metadata with up to 32 measurements. It performs supplied-record analysis rather than independent certification, so choose it when you own or control the record being validated and want fast, automated consistency checking rather than authoritative audit.

## Known failure modes

- Measurements array empty or exceeds 32-item limit — validation error returned
- nonpersonalMetadata not set to true — request rejected
- Invalid dataClass value outside 'public' or 'synthetic' enum — schema validation failure
- Malformed measurement entries — partial or failed analysis
- Service unavailable — no consistency result returned

## 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 a consistency analysis report indicating whether declared aggregate count kinds align with unit labels across the supplied measurements in the edition record, including details of any mismatches or inconsistencies found. This is a supplied-record analysis, not an 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/edition-records-unit-label-consistency-check-8944e31d/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)