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Trial Registry Records - Declared Bound Audit
x402
Trial Registry Records - Declared Bound Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010164/call, status unknown (last checked 2026-10-16).
Compares exact nonnegative integer aggregate counts from trial registry records against a caller-supplied inclusive upper bound, returning a pass/fail audit result per measurement.
Price / call$0.010164
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 per-measurement comparison result indicating whether each nonnegative integer aggregate count satisfies the caller-supplied inclusive bound, along with audit pass/fail status for each supplied measurement. This is a declared-record analysis, not independent certification.
Example use cases
Clinical trial count compliance check
“I have aggregate counts from our public trial registry records and a declared maximum bound of 500 for each — can you audit all 10 measurements and tell me which ones exceed the bound?”
Synthetic data validation for trial pipeline
“We're running a synthetic trial dataset and need to verify that our 8 record count measurements all fall within their respective inclusive bounds before we proceed — can you run that audit for me?”
Pre-submission registry record audit
“Before we submit, can you check these 3 trial registry aggregate counts against our declared upper bounds and confirm none of them violate the inclusive limit? The data is public and nonpersonal.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/trial-registry-records/declared-bound-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, deterministic audit of integer aggregate counts from trial registry records against declared inclusive upper bounds. Prefer it over general-purpose validation tools when working specifically with clinical trial or registry record data classified as public or synthetic, and when you need per-measurement pass/fail results without requiring independent third-party certification.
Side effects
- Invalid or missing bounds array (must have 1-32 items)
- Invalid or missing measurements array (must have 1-32 items)
- Mismatched array lengths between bounds and measurements
- dataClass not one of 'public' or 'synthetic'
- nonpersonalMetadata not set to true (required constant)
- Negative integer values supplied where nonnegative integers are required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bounds | array | |
| dataClass | string | |
| measurements | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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