Protein Measurements Scope Boundary Audit

x402

Protein Measurements Scope Boundary Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.038314/call, status unknown (last checked 2026-10-16).

Validates that protein/isoform/sequence-pinned measurement records conform to declared owner, subject, revision, and allowed scope labels without granting permissions or certifying data.

Price / call$0.038314

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StatusUnknown

How this service works

Enforce exact declared owner, subject, revision and allowed scope labels; a matching label grants no permission or access for protein/isoform/sequence-pinned measurement Supplied-record analysis, not independent certification. Full contract at the free describe URL.

Output

Returns a structured audit result indicating whether each supplied measurement row conforms to the declared owner, subject, revision, and allowed scope labels; flags any scope boundary violations or label mismatches without granting permissions or independently certifying the data.

Example use cases

Proteomics pipeline data governance check

“I have 20 isoform measurement records from our synthetic dataset that need to be audited — ownerRef is 'biotech-corp', subjectRef is 'ISO:Q9UKV3', revision 'r2024-09', dataClass 'synthetic', allowedScopes ['research','review'], nonpersonalMetadata true. Can you check them for scope boundary violations?”

Multi-revision protein record compliance

“Before we publish, please audit these 8 protein sequence measurement rows against our declared owner 'genomics-lab', subject 'UniProt:O00255', revision 'v7', dataClass 'public', and allowedScopes ['public','open-access'] — nonpersonalMetadata is true.”

Scope label mismatch detection for measurement batch

“We received 15 protein measurement records tagged to ownerRef 'pharma-ds', subjectRef 'SEQ:NP_001005', revision 'beta-1', dataClass 'synthetic', allowedScopes ['internal'] — run a scope boundary audit with nonpersonalMetadata true to flag any label mismatches.”

Technical details

Endpoint

POSThttps://www.mahastrategies.com/api/v1/compute/protein-measurements/scope-boundary-audit?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to enforce declared scope label compliance on protein, isoform, or sequence-pinned measurement records without requiring independent data certification. It is best suited for data governance pipelines that need to audit batches of up to 32 measurement rows against owner/subject/revision/scope metadata constraints, particularly when working with public or synthetic data classes.

Side effects

Missing required fields (ownerRef, subjectRef, revision, allowedScopes) returns validation error
rows array empty or exceeds 32-item maximum causes rejection
nonpersonalMetadata not set to true (const) causes schema rejection
dataClass value outside 'public' or 'synthetic' enum returns error
allowedScopes exceeds 16-item maximum returns input error
Malformed row objects cause processing failure

Input

Schema · Request body

Field	Type	Description
rows	array
ownerRef	string
revision	string
dataClass	string
subjectRef	string
allowedScopes	array
nonpersonalMetadata	boolean

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