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Neural Interface Records - Provenance Edge Audit
x402
Neural Interface Records - Provenance Edge Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.045326/call, status unknown (last checked 2026-10-16).
Binds a declared graph edge to both of its pinned endpoint nodes and the owner/subject, performing a provenance audit based on caller-supplied record analysis rather than independent certification.
Price / call$0.045326
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 provenance binding result indicating whether each declared edge is correctly bound to both of its pinned endpoint nodes and the declared owner/subject, based on caller-supplied record analysis. The response reflects audit outcomes per edge rather than independent third-party certification.
Example use cases
Synthetic data lineage binding check
“I have 5 edges and 6 nodes from our synthetic dataset graph — can you audit their provenance to confirm each edge is properly bound to both its pinned endpoint nodes and the correct owner, with non-personal metadata only?”
Public record graph provenance audit
“Run a provenance edge audit on these 2 edges and 3 nodes from our public neural interface records and tell me whether the declared owner and subject are correctly linked to each edge.”
Pre-publication graph structure validation
“Before we publish this graph, can you check that all 10 of these edges are correctly bound to their 12 endpoint nodes with the right provenance owner assignments? Data class is synthetic and all metadata is non-personal.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/neural-interface-records/provenance-edge-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to validate that declared graph edges in neural interface record datasets are correctly bound to both pinned endpoint nodes and an owner/subject, based on your own supplied records. It is appropriate for provenance auditing of synthetic or public (non-personal) data graphs of up to 32 edges and 32 nodes. Do not use it for independent third-party certification or for graphs containing personal data.
Side effects
- Edge references a node not present in the submitted nodes array — validation fails with missing node error
- Nodes array exceeds 32 items or edges array exceeds 32 items — rejected with schema validation error
- dataClass not set to 'public' or 'synthetic' — rejected as invalid enum value
- nonpersonalMetadata not set to true (const constraint) — request rejected
- Malformed edge or node objects — returns parsing or schema error
- Ambiguous or incomplete provenance declarations in supplied records — audit result may be inconclusive
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| edges | array | |
| nodes | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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