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Publication Records - Provenance Edge Audit
x402
Publication Records - Provenance Edge Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.045332/call, status unknown (last checked 2026-10-16).
Binds declared graph edges to both pinned endpoints and owner/subject records, auditing provenance relationships in publication data
Price / call$0.045332
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 indicating whether each declared edge is successfully bound to both its pinned endpoints and the corresponding owner/subject records in the publication dataset, along with any mismatches or unresolved bindings found during analysis.
Example use cases
Verify publication graph edge bindings
“I have a set of publication records with 8 declared edges and 6 nodes, all public data — can you run a provenance edge audit to confirm each edge is correctly bound to its pinned endpoints and owner or subject records?”
Audit synthetic dataset provenance links
“We generated a synthetic publication dataset with 12 edges and 10 nodes — please audit the provenance edges to make sure the declared links are properly anchored to their source records, treating the data class as synthetic.”
Validate owner-subject edge consistency
“Before we publish, I need to check that the 3 provenance edges in our publication graph are correctly bound to the owner and subject records — nodes are 3 public entries and nonpersonal metadata only, can you run the edge audit?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/publication-records/provenance-edge-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to verify that declared provenance edges in publication records are correctly anchored to both pinned endpoints and owner/subject records. It is specifically suited for publication graph integrity checks on public or synthetic datasets with nonpersonal metadata, not for independent certification or live data certification workflows.
Side effects
- Invalid or missing edges array causes validation error
- Nodes array empty or exceeds 32-item limit returns schema rejection
- dataClass not set to 'public' or 'synthetic' causes enum validation failure
- nonpersonalMetadata not set to true (const) causes request rejection
- Edge references nodes not present in the nodes array causing binding failure
- Malformed edge or node structures causing parse errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| edges | array | |
| nodes | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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