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Edition Records - Declared-Bound Audit
x402
Edition Records - Declared-Bound Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.01018/call, status unknown (last checked 2026-10-20).
Validates that declared nonnegative integer aggregate counts for edition records fall within caller-supplied inclusive bounds, checking across source, subject, snapshot, and unit dimensions.
Price / call$0.01018
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 structured comparison of each supplied measurement against its corresponding inclusive bound, indicating whether each nonnegative integer aggregate count passes or fails the declared limit, broken down by source, subject, snapshot, and unit dimensions. No independent certification is provided — results reflect analysis of caller-supplied records only.
Example use cases
Edition count cap compliance check
“I have 8 edition record measurements and matching bounds for our public library catalog snapshot — can you verify that each aggregate count is at or below its declared bound across all sources and subjects?”
Synthetic dataset bound validation
“We've generated a synthetic edition dataset with 12 measured aggregate counts and I want to audit them against 12 caller-supplied inclusive bounds to make sure none exceed the declared limits — the data is synthetic and nonpersonal.”
Multi-unit edition snapshot audit
“Can you compare our declared edition record counts against bounds for 20 measurements across several units and snapshots? All data is public and nonpersonal, and I need a pass/fail for each bound.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/library/edition-records/declared-bound-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, per-call audit to confirm that declared nonnegative integer aggregate counts for edition records stay within caller-supplied inclusive bounds, without needing to download or process the underlying text. It is suitable for data quality pipelines that must enforce count caps across source, subject, snapshot, and unit dimensions on public or synthetic nonpersonal library edition metadata.
Side effects
- Mismatched array lengths between bounds and measurements returns a validation error
- Values outside nonnegative integer range are rejected
- Exceeding maxItems (32) for bounds or measurements array causes request rejection
- Missing required nonpersonalMetadata:true field causes rejection
- Invalid dataClass value outside enum ['public','synthetic'] causes rejection
- Malformed input schema returns 400-level error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bounds | array | |
| dataClass | string | |
| measurements | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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