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Glossary Records Declared Bound Audit
x402
Glossary Records Declared Bound Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010182/call, status unknown (last checked 2026-10-20).
Validates that exact nonnegative integer aggregate counts for glossary records match one inclusive caller-supplied bound across every source, subject, snapshot, and unit dimension.
Price / call$0.010182
Success—
StatusUnknown
How this service works
Compare exact nonnegative integer aggregate counts with one inclusive caller-supplied bound matching every source, subject, snapshot and unit Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a pass/fail audit result indicating whether every nonnegative integer aggregate count across all supplied measurements, sources, subjects, snapshots, and units matches the single inclusive caller-supplied bound. This is a supplied-record analysis, not independent certification.
Example use cases
Glossary count compliance audit
“Audit my synthetic glossary data: I have 5 measurements and need to confirm all aggregate counts are within the declared bound of 1000 across every source and snapshot.”
Multi-source record bound check
“Verify that my public glossary records' aggregate counts — across 4 sources and 3 subjects — all match my declared inclusive bound of 250 for this snapshot cycle.”
Unit-level count threshold validation
“I need to check that my 8 glossary measurements for public data never exceed a count bound of 750 per unit — can you run the declared-bound audit and tell me if everything passes?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/library/glossary-records/declared-bound-audit?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to verify that glossary record aggregate counts match a single inclusive declared bound across all dimensional combinations (source, subject, snapshot, unit) without requiring independent certification. Best suited for internal compliance checks, data governance pipelines, and pre-publish audits where public or synthetic glossary data must conform to a declared numeric threshold.
Side effects
- Bounds array empty or exceeds 32 items — validation error
- Measurements array empty or exceeds 32 items — validation error
- dataClass not one of 'public' or 'synthetic' — enum validation failure
- nonpersonalMetadata not exactly true — const validation failure
- Count mismatch detected — audit returns fail result
- Malformed integer values in measurements — processing error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bounds | array | |
| dataClass | string | |
| measurements | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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