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Api Contracts — Unit-label consistency
x402
Api Contracts — Unit-label consistency is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.012303/call, status unknown (last checked 2026-10-19).
Compares declared request/response coordinates in HTTP contracts to verify that UTF-8 bytes, codepoints, and tokens are kept distinct and consistently labeled throughout the contract metadata.
Price / call$0.012303
Success—
StatusUnknown
How this service works
Compare declared request/response coordinates for each HTTP contract. UTF-8 bytes, codepoints and tokens stay distinct; no tokenizer, conversion or remote execution. Offline typed nonpersonal metadata only. Result retention: 24 hours; minimal receipt metadata: 90 days.
Output
A report identifying which declared request/response coordinates in the supplied HTTP contracts have inconsistent or conflated unit labels, distinguishing UTF-8 bytes, codepoints, and token counts as separate entities. Results are retained for 24 hours; receipt metadata for 90 days.
Example use cases
API spec unit-label audit before release
“Before we ship this API, can you check that all the request and response coordinate declarations in these contracts keep UTF-8 bytes, codepoints, and tokens properly distinct — no conflation? The contracts are public metadata and nonpersonal.”
Detecting token-vs-byte confusion in LLM API contracts
“I have 12 HTTP contract definitions for our LLM API and I'm worried some of them mix up byte counts with token counts in the declared coordinates — can you run a unit-label consistency check on them? Data class is synthetic.”
CI pipeline contract consistency gate
“As part of our CI checks, compare these API contract request/response coordinates and flag any places where byte, codepoint, or token labels are inconsistent or conflated — all public nonpersonal metadata, up to 30 contracts.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/verify/api-contracts/unit-label-consistency?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to audit HTTP API contract metadata specifically for unit-label consistency — ensuring bytes, codepoints, and tokens are never conflated in request/response coordinate declarations. It operates fully offline with no tokenizer, conversion, or remote execution, making it suitable for sensitive-but-nonpersonal contract metadata. Prefer it over general schema validators when the specific concern is dimensional unit labeling in API specs.
Side effects
- Empty or malformed contracts array (minItems:1 not met)
- More than 32 contracts or observations submitted (maxItems exceeded)
- dataClass not set to 'public' or 'synthetic'
- nonpersonalMetadata not explicitly set to true
- Personal or non-public data submitted causing rejection
- Malformed contract declarations that cannot be parsed for coordinate comparison
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| contracts | array | |
| dataClass | string | |
| observations | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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