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Edition Records Schema Directionality Check
x402
Edition Records Schema Directionality Check is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035319/call, status unknown (last checked 2026-10-20).
Compares closed export-field schema directionality between two versions of edition record sets (before/after) for supplied-record analysis.
Price / call$0.035319
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 comparison of closed export-field schema directionality between the before and after edition record arrays, identifying which fields were added, removed, changed, or reordered, along with a summary of structural differences.
Example use cases
Detect schema drift in edition exports
“I have two snapshots of my edition record export fields — before and after a recent update. Both are public data with nonpersonal metadata. Can you compare them and tell me if any closed export fields were added, removed, or reordered?”
Validate closed field set before publishing
“Before I publish my edition record export, I want to confirm the schema directionality hasn't changed from the baseline. Here are the before and after field arrays — data class is synthetic, nonpersonal metadata only, and consumers should not receive extra fields.”
Audit edition record field compatibility
“Can you run a schema directionality check on these two edition record arrays — the before version has 10 records and the after version has 12 — both public class, nonpersonal metadata, to see if the field structure is still compatible with our consumers?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/library/edition-records/schema-directionality?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to compare schema field directionality between two snapshots of edition records specifically — particularly when working with closed export fields and need a supplied-record (not independently certified) analysis. Prefer this over generic schema diff tools when the context involves edition record structures with data-class classification (public or synthetic) and nonpersonal metadata constraints.
Side effects
- before array is empty or missing (minItems:1 not met)
- after array exceeds 32 items (maxItems exceeded)
- dataClass not one of 'public' or 'synthetic'
- nonpersonalMetadata is not exactly true (const:true violation)
- malformed or non-array input for before/after fields
- payment not attached or insufficient USDC amount
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | array | |
| before | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean | |
| consumerAllowsExtraFields | boolean |
Tags
x402
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