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Thermal Measurements Duplicate Record Identity Checker
x402
Thermal Measurements Duplicate Record Identity Checker is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010324/call, status unknown (last checked 2026-10-16).
Compares duplicate owner, subject, and revision declarations in thermal measurement records against scientific frames to identify conflicting or redundant identities.
Price / call$0.010324
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 duplicate owner, subject, and/or revision declarations found across the supplied thermal measurement rows, mapped against relevant scientific frames. Results are supplied-record analysis only, not independent certification.
Example use cases
Pre-submission thermal data audit
“I'm about to submit this batch of thermal measurement records — can you scan them for duplicate owner or subject declarations and flag any conflicting revision identities before I finalize? Data class is synthetic, nonpersonal metadata only.”
Scientific frame conflict detection
“I have up to 20 thermal measurement rows from a public dataset and need to know if any share duplicate subject or revision declarations that conflict across their scientific frames — can you run the duplicate identity check?”
Thermal dataset deduplication review
“Before we reconcile our thermal records archive, check these public-class rows for repeated owner or revision declarations and tell me which entries have conflicting identities across frames.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/thermal-measurements/duplicate-record-identities?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of thermal measurement records (up to 32 rows) and need to identify duplicate or conflicting owner, subject, or revision declarations before reconciliation, submission, or audit. Best suited for supplied-record analysis of public or synthetic data classes where personal data is not involved.
Side effects
- Rows array empty or exceeds 32-item limit — validation error returned
- dataClass not set to 'public' or 'synthetic' — enum rejection
- nonpersonalMetadata not set to boolean true — const constraint failure
- Malformed row objects — schema parse error
- Network or payment authorization failure via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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