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Sky Observations Identifier Crosswalk Audit
x402
Sky Observations Identifier Crosswalk Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035232/call, status unknown (last checked 2026-10-16).
Audits one-to-one identifier aliases across typed, pinned sky observation records without establishing ownership, rights, or authenticity.
Price / call$0.035232
Success—
StatusUnknown
How this service works
Check one-to-one aliases against every typed pin; identifier mapping does not establish ownership, rights or authenticity for sky frame/epoch/observer/method-pinned Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a structured audit report indicating which identifier pairs form valid one-to-one aliases, which mappings have conflicts or gaps, and the overall crosswalk consistency across the supplied sky observation rows and mappings — without certifying ownership, rights, or authenticity.
Example use cases
Alias conflict detection in sky surveys
“I have a batch of 10 public sky observation records and 10 identifier mappings — can you run a crosswalk audit to find any one-to-one alias conflicts or mismatches across the typed pins?”
Synthetic dataset identifier validation
“We're using synthetic sky observation data and need to verify that all 8 identifier mappings correctly alias our records without any overlap or broken links — can you run the crosswalk audit with nonpersonal metadata confirmed?”
Pre-publication sky frame identifier check
“Before we submit our sky frame dataset, can you audit the identifier crosswalk for these 15 public observation rows against our 15 mappings to confirm every identifier resolves to exactly one alias?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/celestial/sky-observations/identifier-crosswalk-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to audit identifier alias consistency across pinned sky observation records in a structured, typed manner, particularly when working with public or synthetic celestial data and needing a verifiable crosswalk report without ownership or authenticity claims.
Side effects
- Row or mapping count outside 1–32 range returns validation error
- Missing nonpersonalMetadata: true field causes rejection
- Invalid dataClass value (not 'public' or 'synthetic') causes schema error
- Mismatched row and mapping counts may result in incomplete crosswalk output
- Malformed pin structures in rows or mappings may produce null alias results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| mappings | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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