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Protein Measurements Declared-Bound Audit
x402
Protein Measurements Declared-Bound Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010126/call, status unknown (last checked 2026-10-20).
Audits declared protein measurement records by comparing finite values against caller-supplied inclusive quantity/unit bounds within a specific dataset/subject/run/method/revision frame, treating null and censored values as unknown rather than zero.
Price / call$0.010126
Success—
StatusUnknown
How this service works
Compare finite measurements with inclusive caller-supplied quantity/unit bounds in the exact dataset/subject/run/method/revision frame; null and censored values are unknown, not zero; thresholds are not clinical or safety limits for protein measurement Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a per-record audit result indicating whether each finite protein measurement falls within the caller-supplied inclusive quantity/unit bounds, with null and censored values flagged as unknown (not zero). Results are scoped to the exact dataset/subject/run/method/revision frame provided and do not constitute clinical or safety certifications.
Example use cases
Lab QC protein run validation
“I have 20 protein concentration measurements from run 3 of our method B assay — can you check whether all finite values fall within the inclusive bounds of 1.0–50.0 µg/mL and flag anything out of range? The data class is synthetic and there's no personal metadata.”
Proteomics dataset bound compliance
“Can you audit this batch of declared protein measurements from our public dataset against caller-supplied bounds of 0.1 to 100.0 mg/dL, and make sure null or censored entries are treated as unknown, not zero?”
Multi-measurement revision-frame audit
“We have 15 protein measurements from a specific subject and revision frame — please compare them against inclusive quantity bounds of 5–500 nmol/L using the declared-bound audit, data class is public, and nonpersonal metadata is true.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/protein-measurements/declared-bound-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to audit declared protein measurement records against specific caller-supplied inclusive bounds within a precise dataset/subject/run/method/revision frame, and you need null and censored values treated as unknown rather than zero. Prefer this over generic range-checking tools when the domain is specifically proteomics or protein assay data and you need formal audit semantics rather than simple filtering.
Side effects
- Invalid or empty measurements array (minItems:1 not met)
- Bounds array exceeds maxItems:32 limit
- Measurements array exceeds maxItems:32 limit
- dataClass not one of 'public' or 'synthetic'
- nonpersonalMetadata not set to true (const constraint)
- Malformed quantity/unit pairs in bounds
- Mixed or incompatible units between measurements and bounds
- Payment failure via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bounds | array | |
| dataClass | string | |
| measurements | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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