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Neural Interface Records - Scope Boundary Audit
x402
Neural Interface Records - Scope Boundary Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.038326/call, status unknown (last checked 2026-10-25).
Validates that supplied neural-interface model/calibration/pipeline records conform to declared owner, subject, revision, and allowed scope labels, flagging any boundary violations.
Price / call$0.038326
Success—
StatusUnknown
How this service works
Enforce exact declared owner, subject, revision and allowed scope labels; a matching label grants no permission or access for synthetic neural-interface model/calibration/pipeline Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a structured audit result indicating whether each supplied row of neural-interface records conforms to the declared ownerRef, subjectRef, revision, dataClass, and allowedScopes constraints. Reports which records pass or fail scope boundary checks, any label mismatches, and a summary of permission/access violations found — without acting as an independent certification of the underlying neural models.
Example use cases
Synthetic calibration batch scope check
“I have 20 synthetic neural calibration records from owner 'neurolab-org', subject 'subj-001', revision 'r1.0', and I need to verify they only fall within the allowed scopes 'model-eval' and 'calibration'. Can you run a scope boundary audit on them with nonpersonal metadata flagged?”
Pipeline model record owner enforcement
“Can you validate these 5 neural pipeline model records — owner is 'pipeline-corp', subject 'subj-XJ9', revision 'beta-2' — and check they comply with allowed scopes 'pipeline-audit' and 'training'? Data class is synthetic and nonpersonal metadata is true.”
Revision mismatch detection in neural records
“I need to audit 8 synthetic neural-interface model records for owner 'nri-team', subject 'subj-445', revision 'v4.1', allowed scopes 'scope-a' and 'scope-b', to catch any records that don't match the declared revision or fall outside permitted scope labels.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/neural-interface-records/scope-boundary-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to enforce exact declared owner, subject, revision, and scope label compliance on batches of synthetic or public neural-interface model, calibration, or pipeline records. It is specifically designed for scope boundary auditing of neural interface record sets (up to 32 rows) with nonpersonal metadata constraints, and is not a substitute for independent model certification. Prefer it over generic data validators when your use case involves neural interface record provenance and allowed-scope label enforcement.
Side effects
- Missing required ownerRef or subjectRef causes validation rejection
- rows array empty or exceeds 32-item limit returns schema error
- allowedScopes array empty or exceeds 16-item limit causes rejection
- nonpersonalMetadata not set to true (const) causes request failure
- dataClass value outside 'public' or 'synthetic' enum returns invalid input error
- Malformed revision string may cause boundary comparison to fail
- Network or payment failure returns 402 or 5xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| ownerRef | string | |
| revision | string | |
| dataClass | string | |
| subjectRef | string | |
| allowedScopes | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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