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Telescope Calibrations - Duplicate Record Identities
x402
Telescope Calibrations - Duplicate Record Identities is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.01033/call, status unknown (last checked 2026-10-16).
Detects duplicate owner, subject, and revision declarations across telescope calibration frame records by comparing supplied record metadata.
Price / call$0.01033
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 rows among the submitted calibration frames contain duplicate owner, subject, or revision declarations, enabling the caller to resolve conflicts or remove redundant records. Does not certify the underlying data — analysis is based solely on the supplied records.
Example use cases
Deduplicating observatory calibration dataset
“I have a batch of up to 30 telescope calibration frame rows from our public observatory archive — can you scan them for any duplicate owner or revision declarations so we know which records are redundant?”
Validating synthetic calibration test data
“We generated some synthetic calibration frames for testing and I want to make sure there are no duplicate subject or revision entries in the metadata — can you run a duplicate check on these rows?”
Pre-ingestion duplicate audit for science pipeline
“Before we ingest these 20 public calibration frame records into our pipeline, check them for any repeated owner or subject declarations so we can clean the data first.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/celestial/telescope-calibrations/duplicate-record-identities?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to detect duplicate owner, subject, or revision declarations specifically within telescope calibration frame metadata. It is suited for pre-ingestion audits, data cleaning pipelines, and quality checks on scientific frame datasets. Prefer this over general deduplication tools when the domain is astronomical calibration records with the specific owner/subject/revision identity structure.
Side effects
- Fewer than 1 or more than 32 rows submitted — request rejected
- nonpersonalMetadata not set to true — required constant field missing
- Invalid dataClass value outside 'public' or 'synthetic' enum — validation error
- Malformed row objects missing expected fields — partial or empty analysis
- Payment not provided or insufficient USDC — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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