# Tabular Records Scope Boundary Audit

> 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.

## Facts

- Endpoint: POST https://www.mahastrategies.com/api/v1/verify/tabular-records/scope-boundary-audit?utm_source=zero.xyz
- Price: $0.038305/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tabular-records-scope-boundary-audit-0274f532
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_r41PPwmHjPTGEHNknX7WB

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 tabular-records-scope-boundary-audit-0274f532 -d '<json body>'
```

Example prompt: Can you audit the scope boundary for this table export — the tableRef is 'analytics.sales_q1', revision 'rev-20240301', data class is 'public', allowed columns are ['region','revenue','date'], and here are the 5 rows I'm trying to export? Make sure they're all within the declared column and revision scope.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "maxItems": 32,
   "minItems": 1
  },
  "revision": {
   "type": "string"
  },
  "tableRef": {
   "type": "string"
  },
  "dataClass": {
   "enum": [
    "public",
    "synthetic"
   ],
   "type": "string"
  },
  "allowedColumns": {
   "type": "array",
   "maxItems": 16,
   "minItems": 1
  },
  "nonpersonalMetadata": {
   "type": "boolean",
   "const": true
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tabular-records-scope-boundary-audit-0274f532/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)