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Protein Measurements - Reference Integrity Map
x402
Protein Measurements - Reference Integrity Map is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035155/call, status unknown (last checked 2026-10-20).
Binds protein measurement rows to exact declared protein/isoform/sequence-revision/digest identifiers to verify reference integrity without fetching or inferring sequence identity or structure.
Price / call$0.035155
Success—
StatusUnknown
How this service works
Bind measurements to exact protein/isoform/sequence-revision/digest declarations without fetching or inferring sequence identity, structure or Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a reference integrity map that indicates, for each submitted measurement row, whether it is correctly bound to the declared protein, isoform, sequence revision, and digest pin. Results reflect only the supplied declarations — no external sequence fetching, structural inference, or independent certification is performed.
Example use cases
Proteomics assay binding audit
“I have 15 mass spectrometry measurement rows and 6 declared protein isoforms with specific sequence revisions and digest pins — can you verify that each measurement row is correctly bound to its declared protein reference, marking the dataClass as public and nonpersonalMetadata as true?”
Synthetic dataset reference validation
“We generated synthetic protein measurement data for 10 proteins and I need to confirm every row correctly references the exact declared isoform and sequence-revision digest — please run the reference integrity map with dataClass set to synthetic and nonpersonalMetadata true.”
Pre-publication measurement integrity check
“Before we submit our paper, can you check that all 30 of our protein measurement rows are properly bound to their declared sequence revision and digest identifiers across 12 proteins — public dataClass, nonpersonalMetadata true — without any sequence inference or structure analysis?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/protein-measurements/reference-integrity-map?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to enforce strict reference binding between protein measurement records and their declared protein/isoform/sequence-revision/digest identities — especially for audit, compliance, or pre-publication integrity checks on small batches (up to 32 rows/proteins). It is not appropriate when you need sequence inference, structural analysis, or external database lookups.
Side effects
- Exceeding 32 rows or 32 proteins returns a validation error
- Missing nonpersonalMetadata:true field causes rejection
- Invalid or unsupported dataClass enum value returns an error
- Malformed protein or row declarations result in binding failures
- Digest/revision mismatches flagged as integrity failures rather than system errors
- Missing required fields in rows or proteins arrays cause schema validation errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| proteins | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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