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Catalyst Measurements Schema Directionality
x402
Catalyst Measurements Schema Directionality is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035181/call, status unknown (last checked 2026-10-16).
Compares before/after export field sets to detect directional breaking changes in a catalyst measurement schema.
Price / call$0.035181
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 directionality analysis of the supplied before/after field arrays, identifying which field changes constitute breaking changes, added fields, removed fields, and overall schema compatibility direction based on the declared data class and consumer tolerance settings.
Example use cases
Breaking change detection before API release
“Check if removing the 'pressure' field and adding 'purity' to our catalyst measurement export is a breaking change — the before list has [temperature, pressure, yield, pH] and the after list has [temperature, yield, purity], data class is public, nonpersonal metadata is true, consumer does not allow extra fields.”
Schema migration compatibility audit
“I need to audit our catalyst schema migration — the original fields were [concentration, method, temperature, source] and the new fields are [concentration, temperature, source, revision]. Data class is synthetic, nonpersonal metadata is true. Are there any directional breaking changes?”
Consumer field compatibility validation
“Before we ship this update, can you compare our old field list [yield, purity, catalyst_id, batch] to the new list [yield, catalyst_id, batch, efficiency] for catalyst measurement exports? Data class is public, nonpersonal metadata true, and consumers do allow extra fields.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/catalyst-measurements/schema-directionality?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to compare two snapshots of catalyst measurement export field declarations and need a directional assessment of breaking changes. Prefer this over general schema-diff tools when working within the mahastrategies.com catalyst/scientific data ecosystem. Note this is a closed export-field analysis, not independent certification — suitable for internal validation workflows.
Side effects
- Empty or missing 'before' array (minItems:1 violated) returns validation error
- 'after' array exceeding 32 items returns schema violation
- Invalid 'dataClass' value outside ['public','synthetic'] enum returns rejection
- 'nonpersonalMetadata' not set to true (const:true) returns constraint error
- Malformed input JSON returns 400-level error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | array | |
| before | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean | |
| consumerAllowsExtraFields | boolean |
Tags
x402
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