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Trial Registry Records - Duplicate Record Identity Checker
x402
Trial Registry Records - Duplicate Record Identity Checker is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010333/call, status unknown (last checked 2026-10-16).
Compares duplicate owner, subject, and revision declarations in trial registry record rows against scientific frame constraints to detect conflicting or redundant entries.
Price / call$0.010333
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 analysis of the submitted record rows, identifying which rows contain duplicate or conflicting owner, subject, and/or revision declarations relative to every scientific frame constraint. Results are advisory (supplied-record analysis, not independent certification) and include frame-level conflict flags.
Example use cases
Pre-submission duplicate audit
“I have 15 trial registry records I'm about to submit. Can you check them for any duplicate owner or subject declarations — the data is synthetic — and tell me which rows have conflicting revision identities?”
Research data integrity check
“Before we finalize this trial dataset, can you scan these 8 public data rows and flag any duplicate subject or revision entries that clash across the scientific frames?”
Registry cleanup deduplication
“We're cleaning up our trial registry and need to identify redundant entries — here are 20 rows of synthetic data, please compare all owner, subject, and revision declarations and highlight the duplicates.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/trial-registry-records/duplicate-record-identities?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to detect duplicate or conflicting owner/subject/revision declarations within a batch of trial registry records (up to 32 rows) before submission or during data quality audits. It is specifically designed for scientific record deduplication across declared frame constraints, not general-purpose deduplication or database diffing. Prefer this over generic validation tools when your data involves trial registry metadata with owner, subject, and revision dimensions.
Side effects
- More than 32 rows submitted — maxItems limit exceeded
- Missing or invalid dataClass enum value (must be 'public' or 'synthetic')
- nonpersonalMetadata not set to true — required constant field
- Empty rows array — minItems of 1 not met
- Malformed row objects that don't conform to expected scientific frame structure
- 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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