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Ephemeris Snapshots - Duplicate Record Identity Checker
x402
Ephemeris Snapshots - Duplicate Record Identity Checker is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010329/call, status unknown (last checked 2026-10-16).
Compares submitted ephemeris snapshot rows to detect duplicate owner, subject, or revision declarations across scientific celestial frames
Price / call$0.010329
Success—
StatusUnknown
How this service works
Compare duplicate owner/subject/revision declarations against every scientific frame Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a report identifying which submitted rows contain duplicate owner, subject, or revision declarations, cross-referenced against the scientific frame context. Does not provide independent certification — analysis is based solely on the supplied record set.
Example use cases
Deduplicating celestial observation records
“I have a batch of 20 ephemeris snapshot rows from our astronomy pipeline — can you check them for any duplicate owner or subject declarations before we commit them to the archive? Use the public data class.”
Auditing revision conflicts in synthetic ephemeris data
“Run a duplicate identity check on these 15 synthetic ephemeris snapshots and tell me which rows share the same revision declaration so I can resolve the conflicts.”
Pre-submission uniqueness validation for scientific frames
“Before I submit these 8 ephemeris records, please verify there are no duplicate owner or subject pairings across the rows — data class is public and all metadata is non-personal.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/celestial/ephemeris-snapshots/duplicate-record-identities?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to detect duplicate owner, subject, or revision identity declarations within a bounded batch of ephemeris snapshot rows (up to 32) before ingestion or publication. It is purpose-built for celestial/scientific frame data and provides supplied-record analysis rather than authoritative certification. Prefer this over generic deduplication tools when your data is specifically structured as ephemeris snapshots with owner/subject/revision metadata.
Side effects
- Fewer than 1 or more than 32 rows submitted returns a validation error
- Missing required nonpersonalMetadata: true flag causes rejection
- Invalid dataClass value (not 'public' or 'synthetic') returns schema error
- Malformed row objects cause parse failures
- Payment not included or insufficient USDC results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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