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Protein Measurements Schema Directionality
x402
Protein Measurements Schema Directionality is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035157/call, status unknown (last checked 2026-10-16).
Compares before/after protein measurement field arrays to analyze schema directionality and detect export-field changes in closed record sets.
Price / call$0.035157
Success—
StatusUnknown
How this service works
Compare closed export-field Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
A structured report indicating the directional relationship between the before and after field arrays, highlighting added, removed, or changed export fields in the protein measurement schema, scoped to the specified data class without exposing raw cell data.
Example use cases
Schema migration field audit
“I updated our protein measurement export format and want to compare the old fields [proteinId, concentration, unit] against the new fields [proteinId, mass, unit, purity] using public data class to see what changed directionally.”
Synthetic dataset schema validation
“Can you check the directionality between my before field list [sampleId, weight, pH] and after list [sampleId, weight, pH, solubility] for synthetic protein data and confirm nonpersonal metadata is true?”
Export-field regression detection
“Run a directionality comparison on our protein measurement export — before had [batchId, proteinType, concentration, yield] and after only has [batchId, concentration] — using public class, so I can flag what got dropped.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/protein-measurements/schema-directionality?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically compare two snapshots of protein measurement schema fields to detect directional changes (additions, removals) in a closed export-field context, particularly when working with public or synthetic data classes and needing a lightweight metadata-level diff rather than raw data parsing.
Side effects
- before array empty or exceeds 32 items — validation error
- after array exceeds 32 items — validation error
- dataClass not one of 'public' or 'synthetic' — enum validation error
- nonpersonalMetadata not set to true (const constraint) — rejected
- malformed array entries — schema parse error
- payment not settled — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | array | |
| before | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean | |
| consumerAllowsExtraFields | boolean |
Tags
x402
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