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Planetary Measurements - Schema Directionality
x402
Planetary Measurements - Schema Directionality is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035259/call, status unknown (last checked 2026-10-16).
Compares closed export-field directionality in supplied planetary measurement schema records, flagging mismatches between before and after field states.
Price / call$0.035259
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 report identifying directionality mismatches between the before and after export-field arrays in the supplied planetary measurement schema record, including which fields changed direction and a summary of comparison findings. Does not perform independent certification.
Example use cases
Schema field drift detection
“I need to check whether the export field directionality changed between two versions of our planetary measurement schema — before has ['mass','radius','period'] and after has ['radius','mass','period'], treat it as public data and flag any directional mismatches.”
Pre-release schema consistency audit
“Before we publish our new celestial dataset, can you compare our before and after export field arrays to make sure none of the closed export fields changed direction? Use synthetic data class and mark nonpersonalMetadata as true.”
Regression check on schema field order
“Run a directionality comparison on our planetary measurement schema — before snapshot is ['orbit','velocity','mass'] and after is ['orbit','mass','velocity'], using public data class, and tell me which fields show directionality issues.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/celestial/planetary-measurements/schema-directionality?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to audit the directional consistency of closed export fields in planetary measurement schema declarations between two snapshots (before/after states). Prefer this over generic schema diff tools when working specifically with celestial/planetary structured records that require export-field directionality analysis rather than raw content comparison.
Side effects
- before array is empty or missing required minimum items — returns validation error
- after array exceeds 32 item limit — returns schema constraint error
- dataClass not one of 'public' or 'synthetic' — returns enum validation error
- nonpersonalMetadata not set to true (const constraint) — returns rejection
- malformed array items in before or after fields — returns parse error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | array | |
| before | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean | |
| consumerAllowsExtraFields | boolean |
Tags
x402
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