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Ceramic Measurements - Schema Directionality
x402
Ceramic Measurements - Schema Directionality is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035199/call, status unknown (last checked 2026-10-16).
Compares 'before' and 'after' arrays of ceramic measurement records to analyze schema directionality and field ordering changes in closed export fields.
Price / call$0.035199
Success—
StatusUnknown
How this service works
Compare closed export-field Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns an analysis of schema directionality differences between the supplied 'before' and 'after' ceramic measurement record arrays, indicating whether closed export fields have changed ordering or direction. This is a supplier-record comparison, not an independent certification.
Example use cases
Detect schema field reordering in ceramic exports
“I have a before snapshot of 8 ceramic measurement records and an after snapshot of 8 records from the same batch — can you check whether the export-field schema directionality changed between them, treating the data as synthetic?”
Validate measurement export consistency pre-submission
“Before we submit this ceramic dataset revision, compare the previous 12-record export against the new 12-record version and tell me if the schema field directionality has shifted — use public data class and mark that we're okay with extra fields.”
Audit ceramic record field order after pipeline update
“Our data pipeline was updated and I need to confirm the ceramic measurement export schema directionality is unchanged — here are the 20 before records and 20 after records, both public class, nonpersonal metadata only.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/ceramic-measurements/schema-directionality?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to compare two snapshots of ceramic measurement records specifically to assess schema field directionality changes in closed export fields — particularly when working with public or synthetic data classes and needing a fast, per-call analysis without independent certification overhead.
Side effects
- 'before' array is empty or missing (minItems:1 violated) — request rejected
- 'after' array exceeds 32 items or 'before' exceeds 32 items — array size limit error
- dataClass not one of 'public' or 'synthetic' — enum validation error
- nonpersonalMetadata not exactly true (const:true) — validation failure
- Mismatched or malformed record structures in before/after arrays — analysis error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | array | |
| before | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean | |
| consumerAllowsExtraFields | boolean |
Tags
x402
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