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Scientific Dataset Records – Provenance Edge Audit
x402
Scientific Dataset Records – Provenance Edge Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.045338/call, status unknown (last checked 2026-10-16).
Audits declared provenance edges in a scientific dataset graph, binding each edge to both pinned endpoint nodes and the declared owner/subject record for consistency validation.
Price / call$0.045338
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 an audit report identifying whether each declared provenance edge is correctly bound to both pinned endpoint nodes and the declared owner/subject record. Flags edges with missing bindings, mismatched references, or inconsistencies between the declared graph structure and the supplied records.
Example use cases
Public research dataset provenance check
“I have a public research dataset graph with 8 edges and 10 nodes — can you audit the provenance edges to make sure each one is properly bound to both its endpoint nodes and the declared owner record? Non-personal metadata only.”
Synthetic dataset graph integrity audit
“Audit the provenance edges in my synthetic dataset — I've got 3 edges and 4 nodes. Confirm that each edge links correctly to its pinned endpoints and subject record. Mark this as synthetic data with non-personal metadata.”
Multi-dataset edge ownership validation
“I'm running a provenance review on 12 edges and 15 nodes across our public dataset collection. Check that every declared edge is bound to the right owner and subject records, non-personal metadata only, and flag anything that doesn't line up.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/scientific-dataset-records/provenance-edge-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to verify the structural integrity of declared provenance edges in a scientific dataset graph — specifically confirming that edges bind correctly to their pinned endpoint nodes and declared owner/subject records. It is supplier-record analysis only, not independent third-party certification. Best suited for public or synthetic (non-personal) datasets with up to 32 edges and 32 nodes.
Side effects
- Edges or nodes arrays empty or exceeding 32-item limit — validation error
- dataClass not set to 'public' or 'synthetic' — enum rejection
- nonpersonalMetadata not set to true (const constraint) — request rejected
- Malformed edge or node structures — parsing error
- Edges reference node IDs not present in nodes array — flagged as missing binding
- Service unavailable or payment failure — HTTP 402 or 5xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| edges | array | |
| nodes | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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