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Trial Registry Records - Reference Integrity Map
x402
Trial Registry Records - Reference Integrity Map is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035269/call, status unknown (last checked 2026-10-16).
Validates parent existence and detects cycles within owner and subject reference chains in supplied trial registry record data.
Price / call$0.035269
Success—
StatusUnknown
How this service works
Check parent existence and cycles within owner and subject Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a reference integrity map indicating which records have valid parent references, which reference non-existent parents, and which participate in ownership or subject cycles — based solely on the supplied record data without independent external lookup.
Example use cases
Cycle detection in trial ownership chains
“I have 10 trial registry records and I need to know if any of them have circular ownership references — can you run a reference integrity check on them? The data is synthetic and non-personal.”
Validating parent links before import
“Before I import these 20 trial registry entries into our system, check whether all their parent records actually exist and flag any broken subject reference links — data class is public and no personal metadata is included.”
Auditing subject reference integrity
“Can you analyze this batch of 15 clinical trial registry records to make sure none of the subject chains loop back on themselves or reference missing parents? Mark the data as synthetic and non-personal.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/trial-registry-records/reference-integrity-map?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to validate reference integrity (parent existence and cycle detection) specifically within trial registry records as a local analysis of supplied data, without requiring an external registry lookup. It is suited for pre-import validation, data quality checks, and audit pipelines where data is either public or synthetic and confirmed non-personal.
Side effects
- Rows array is empty or exceeds 32 items — validation error
- dataClass not set to 'public' or 'synthetic' — enum validation failure
- nonpersonalMetadata not explicitly set to true — request rejected
- Malformed row objects missing required fields — analysis incomplete or errored
- Cycle detection inconclusive if reference graph is partially supplied
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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