# Neural Interface Records - Provenance Edge Audit

> 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.

## Facts

- Endpoint: POST https://www.mahastrategies.com/api/v1/compute/neural-interface-records/provenance-edge-audit?utm_source=zero.xyz
- Price: $0.045326/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/neural-interface-records-provenance-edge-audit-f02abb2f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_jVOAhoQ3J6Nj1MvNni0JM

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability neural-interface-records-provenance-edge-audit-f02abb2f -d '<json body>'
```

Example prompt: Can you run a provenance edge audit on these 3 edges and 4 nodes from our neural interface records, treating the data as synthetic and confirming the metadata is non-personal, to verify each edge is correctly bound to its endpoints and declared owner?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "edges": {
   "type": "array",
   "maxItems": 32,
   "minItems": 1
  },
  "nodes": {
   "type": "array",
   "maxItems": 32,
   "minItems": 1
  },
  "dataClass": {
   "enum": [
    "public",
    "synthetic"
   ],
   "type": "string"
  },
  "nonpersonalMetadata": {
   "type": "boolean",
   "const": true
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/neural-interface-records-provenance-edge-audit-f02abb2f/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from www.mahastrategies.com](https://www.zero.xyz/host/www.mahastrategies.com/llms.txt)