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Planetary Measurements - Duplicate Record Identity Checker
x402
Planetary Measurements - Duplicate Record Identity Checker is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010331/call, status unknown (last checked 2026-10-16).
Compares duplicate owner, subject, and revision declarations in supplied planetary measurement records against every scientific frame to detect conflicting identity claims.
Price / call$0.010331
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 comparison report identifying which supplied rows contain duplicate owner, subject, or revision declarations, and flags any conflicts detected across scientific frames. Results are based solely on the caller-supplied record contents — no independent certification is performed.
Example use cases
Astronomy dataset deduplication before submission
“I have a batch of 15 synthetic planetary measurement records and I need to check whether any rows share duplicate owner or subject declarations before I submit them for review — can you run them through the duplicate identity checker?”
Scientific frame owner conflict detection
“We collected 30 public planetary observation rows and I'm worried some have conflicting ownership claims across different scientific frames — please compare them for duplicate owner and revision declarations and tell me where the conflicts are.”
Revision collision audit for celestial records
“Before we merge these two datasets of celestial measurements, can you inspect the 25 public-class rows for any duplicate revision or subject declarations that would collide across frames?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/celestial/planetary-measurements/duplicate-record-identities?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to audit a batch of planetary or celestial measurement records (up to 32 rows) for duplicate identity declarations across owner, subject, and revision fields within scientific frames. It is best suited for pre-publication checks or dataset merges where identity collisions must be caught early. It is not suitable when independent third-party certification is required, or when records contain personal data.
Side effects
- Rows array exceeds 32 items — request rejected
- nonpersonalMetadata not set to true — validation fails
- dataClass not one of 'public' or 'synthetic' — enum validation error
- Empty rows array (minItems:1 violated) — request rejected
- Malformed row objects causing schema mismatch — parse error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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