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Sky Observations Schema Directionality Analyzer
x402
Sky Observations Schema Directionality Analyzer is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035235/call, status unknown (last checked 2026-10-16).
Analyzes the directional schema alignment of closed sky observation export fields, comparing before/after record sets for supplied public or synthetic data.
Price / call$0.035235
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 schema directionality analysis comparing before and after sky observation record arrays, indicating whether closed export fields are aligned, any directional mismatches detected, and a summary of the field-level comparison for the specified data class.
Example use cases
Validating observation export schema shifts
“I have two batches of sky observation records — 8 records in the before array and 6 in the after array — and I want to check whether the closed export fields are directionally aligned using public data class with nonpersonal metadata set to true.”
Synthetic data schema directionality check
“Run a schema directionality analysis on my synthetic sky observation data — I have 10 records in the before set and 10 in the after set — and confirm whether the export fields are consistent, keeping nonpersonal metadata enabled.”
Pre-release celestial dataset field review
“Before I publish my celestial dataset update, can you compare the before and after observation record arrays — 4 records before and 4 after — using public data class, and tell me if any export fields changed direction?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/celestial/sky-observations/schema-directionality?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to deterministically compare before-and-after sets of sky observation export records for schema directionality — particularly useful for validating that closed export fields remain consistently oriented across dataset versions, for public or synthetic celestial data only, where nonpersonal metadata compliance is required.
Side effects
- before array is empty or missing (minItems:1 required)
- before or after arrays exceed 32 items (maxItems:32)
- dataClass value not one of 'public' or 'synthetic'
- nonpersonalMetadata not set to true (const:true required)
- malformed record structures in before/after arrays causing parse errors
- service unavailable or payment not processed correctly
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | array | |
| before | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean | |
| consumerAllowsExtraFields | boolean |
Tags
x402
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