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Publication Records Schema Directionality Analyzer
x402
Publication Records Schema Directionality Analyzer is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035265/call, status unknown (last checked 2026-10-16).
Compares 'before' and 'after' export-field declarations in publication records to analyze schema directionality and flag field-level mismatches or additions.
Price / call$0.035265
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 a structured analysis of schema directionality between 'before' and 'after' field arrays, identifying added, removed, or reordered export fields, flagging mismatches against closed-field declarations, and noting compatibility issues for consumers who disallow extra fields. Results reflect supplied-record analysis only, not independent certification.
Example use cases
Detecting breaking schema additions
“I updated our publication record export and need to know what fields were added — before we had ['title','issn','year'] and now we have ['title','issn','year','license','embargo_date']. Use public dataClass with nonpersonalMetadata true and tell me if the directionality of those new fields raises any flags.”
Validating synthetic dataset export fields
“We're publishing a synthetic dataset and I need to check whether the schema directionality is clean — before fields were ['id','category'] and after fields are ['id','category','weight']. Set dataClass to 'synthetic', nonpersonalMetadata to true, and let me know if consumers that don't allow extra fields would have a problem.”
Auditing closed export field compliance
“Can you check the schema directionality for our publication records where the before export had ['record_id','journal_name','pub_date','subject'] and the after has the same set but reordered? DataClass is 'public', nonpersonalMetadata is true, and I want to confirm no closed fields were inadvertently opened or dropped.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/publication-records/schema-directionality?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, structured comparison of export-field declarations between two versions of a publication record schema, specifically to detect directionality shifts (additions, removals, reordering) in public or synthetic datasets where nonpersonal metadata is confirmed. It is a supplied-record analysis tool, not an independent certification service, so prefer it for internal pipeline auditing and pre-publish validation rather than regulatory compliance attestation.
Side effects
- Empty 'before' array (minItems:1 violated) returns validation error
- 'after' or 'before' arrays exceeding 32 items return schema rejection
- Invalid dataClass value outside ['public','synthetic'] enum causes 400 error
- nonpersonalMetadata not set to true (const:true) causes rejection
- Malformed array items in before/after fields may return parse errors
- Network timeout on the POST endpoint returns no result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | array | |
| before | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean | |
| consumerAllowsExtraFields | boolean |
Tags
x402
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