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Trial Registry Records Provenance Edge Audit - Provena
x402
Trial Registry Records Provenance Edge Audit - Provena is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.045333/call, status unknown (last checked 2026-10-16).
Audits declared graph edges by binding them to pinned endpoints and verified owner/subject nodes within trial registry record data, returning a supplier-analysis report (not independent certification).
Price / call$0.045333
Success—
StatusUnknown
How this service works
Bind a declared edge to both pinned endpoints and the exact owner/subject Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a supplier-side analysis report detailing which declared graph edges are correctly bound to their pinned endpoints and matched to the appropriate owner/subject nodes, along with findings on edge consistency — explicitly not an independent certification. Full contract details available at the describe URL.
Example use cases
Clinical trial graph provenance check
“I have a declared trial registry graph with 10 nodes and 15 edges from a public dataset — can you run a provenance edge audit to confirm each edge is correctly bound to its pinned endpoint and the right owner and subject nodes? All metadata is nonpersonal.”
Synthetic data lineage validation
“We've built a synthetic trial registry graph with 20 nodes and 30 edges for testing — audit the provenance edges and flag any that don't correctly bind to their declared subject or owner nodes, using the synthetic data class and nonpersonal metadata.”
Pre-publication registry edge review
“Before we publish our trial registry dataset, run a provenance edge audit on these 7 nodes and 12 public edges to confirm all declared edge bindings match the pinned endpoints and owner/subject assignments — nonpersonal metadata only.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/trial-registry-records/provenance-edge-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a declared-graph provenance audit specifically for trial registry records, binding edges to pinned endpoints and owner/subject nodes, and you are working with public or synthetic (non-personal) data. Prefer this over generic graph validators when the domain is clinical trial registries and you need structured edge-binding analysis rather than simple cycle detection or hash validation.
Side effects
- Exceeds maximum 32 edges or 32 nodes — request rejected with validation error
- nonpersonalMetadata not set to true — request refused
- dataClass not one of 'public' or 'synthetic' — schema validation failure
- Empty edges or nodes array (minItems:1 not met) — request rejected
- Malformed edge/node declarations — partial or error report returned
- Payment not received or insufficient USDC — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| edges | array | |
| nodes | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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