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Tabular Records Scope Boundary Audit
x402
Tabular Records Scope Boundary Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.038305/call, status unknown (last checked 2026-10-16).
Validates that row export declarations match exactly allowed table references, revision IDs, and column IDs for offline nonpersonal tabular data.
Price / call$0.038305
Success—
StatusUnknown
How this service works
Compare exact allowed table, revision and column IDs with row export declarations. Scope labels are caller policy, not permission grants or database access control. Offline typed nonpersonal metadata only. Result retention: 24 hours; minimal receipt metadata: 90 days.
Output
Returns a structured audit report indicating whether each row's exported columns match the exactly declared allowed column IDs and revision for the given table reference. Identifies any out-of-scope columns or revision mismatches. Results are available for 24 hours; minimal receipt metadata is retained for 90 days.
Example use cases
Validating synthetic dataset column compliance
“I need to check that these 12 rows from our synthetic user behavior dataset stay within the allowed columns — tableRef is 'synthetic.user_events', revision 'rev-2024-09', dataClass is 'synthetic', allowedColumns are ['event_type','timestamp','session_id']. Can you run the scope boundary audit?”
Public table export pre-flight check
“Before we export this slice of the public reporting table, can you verify it against the allowed scope? The tableRef is 'reporting.quarterly', revision 'rev-004', dataClass is 'public', allowedColumns are ['quarter','region','total_units','revenue'], and I have 20 rows to validate.”
Auditing column scope for data pipeline output
“Our data pipeline just produced 8 output rows from tableRef 'pipeline.metrics_output', revision 'rev-v3.1', classified as 'synthetic' — can you audit whether they respect the declared allowed columns ['run_id','metric_name','value','unit'] before we pass them downstream?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/verify/tabular-records/scope-boundary-audit?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to programmatically enforce that tabular row exports strictly conform to a pre-declared set of allowed column IDs and a specific revision, particularly for offline, nonpersonal public or synthetic data. It is purpose-built for scope boundary auditing of tabular records rather than general schema validation or permission checking — prefer it over generic validators when you need revision-pinned, column-level export compliance verification.
Side effects
- Row count outside 1-32 range returns validation error
- allowedColumns count outside 1-16 range returns schema error
- nonpersonalMetadata not set to true returns rejection
- dataClass value outside 'public' or 'synthetic' enum returns error
- Missing tableRef or revision returns bad request
- Rows containing personal data patterns may trigger policy rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| revision | string | |
| tableRef | string | |
| dataClass | string | |
| allowedColumns | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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