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Reading Plans - Declared-Bound Aggregate Count Audit
x402
Reading Plans - Declared-Bound Aggregate Count Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010178/call, status unknown (last checked 2026-10-16).
Validates that exact nonnegative integer aggregate counts from reading plan records fall within a caller-supplied inclusive upper bound, across specified sources, subjects, snapshots, and units.
Price / call$0.010178
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 or compliance result indicating whether each measurement's nonnegative integer aggregate count satisfies the caller-supplied inclusive upper bound, covering the exact declared source, subject, snapshot, and unit. Results are based on supplied records only, not independent certification.
Example use cases
Reading plan count compliance check
“I have a set of reading plan measurements and need to confirm that none of the aggregate counts exceed 1000 — can you run a declared-bound audit on these 5 measurements using the public data class with nonpersonal metadata set to true?”
Synthetic data bound validation
“We generated some synthetic reading plan data and want to verify that all the unit counts across our 8 measurements stay within an inclusive bound of 250 — please audit them with the synthetic data class and nonpersonal metadata enabled.”
Multi-source aggregate ceiling audit
“Can you check our reading plan records across 4 different sources and confirm the aggregate counts all fall under our declared bound of 750? Use public data class and mark nonpersonal metadata as true.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/library/reading-plans/declared-bound-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically verify that declared aggregate count totals from reading plan records do not exceed a specific inclusive numeric ceiling, particularly when working with public or synthetic library data and requiring nonpersonal metadata compliance. It is appropriate when the validation is based on caller-supplied records rather than independent data retrieval or certification.
Side effects
- Bounds array empty or exceeds 32 items — request rejected
- Measurements array empty or exceeds 32 items — request rejected
- dataClass not one of 'public' or 'synthetic' — validation error
- nonpersonalMetadata not explicitly set to true — request rejected
- Aggregate count in supplied record is negative or non-integer — processing error
- Mismatch between number of bounds and measurements — ambiguous comparison result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bounds | array | |
| dataClass | string | |
| measurements | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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