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Ephemeris Snapshots - Schema Directionality
x402
Ephemeris Snapshots - Schema Directionality is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035247/call, status unknown (last checked 2026-10-16).
Compares closed export-field directionality in supplied ephemeris snapshot records, reporting field-level analysis without independent certification.
Price / call$0.035247
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 report of closed export-field directionality differences between the 'before' and 'after' record sets, flagging field-level discrepancies. This is a supplied-record analysis, not independent certification of the underlying data.
Example use cases
Validating public ephemeris field shifts
“I have 8 'before' and 6 'after' ephemeris snapshot records from our public dataset — can you run a directionality check on the export fields to see what changed between them? Use dataClass 'public' and flag that this is nonpersonal metadata only.”
Auditing synthetic snapshot schema drift
“We generated a batch of synthetic ephemeris snapshots and want to confirm the export-field directionality is consistent. Compare these 12 'before' and 12 'after' records with dataClass set to 'synthetic' and nonpersonalMetadata true.”
Pre-release export field compatibility check
“Before we ship this ephemeris snapshot export, I need to compare the before and after record sets to check if any closed export fields changed direction — there are 20 records in 'before' and 15 in 'after', data class is 'public', and consumers may have extra fields.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/celestial/ephemeris-snapshots/schema-directionality?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have two sets of ephemeris snapshot records and need to assess how closed export fields have shifted in directionality between them. It is appropriate for schema-level auditing of celestial data exports where you supply both before and after record snapshots. Do not use it expecting independent certification of underlying data accuracy or live ephemeris computation.
Side effects
- 'before' array is empty or missing (minItems:1 violation) — returns validation error
- 'after' array exceeds 32 items or 'before' exceeds 32 items — returns schema violation error
- nonpersonalMetadata not set to true (const:true) — returns constraint failure
- Invalid dataClass value (not 'public' or 'synthetic') — returns enum validation error
- Malformed record objects in before/after arrays — may return partial or error response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | array | |
| before | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean | |
| consumerAllowsExtraFields | boolean |
Tags
x402
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