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Protein Measurements Identifier Crosswalk Audit
x402
Protein Measurements Identifier Crosswalk Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035154/call, status unknown (last checked 2026-10-16).
Audits one-to-one identifier aliases against typed protein/isoform/sequence measurement pins to detect crosswalk inconsistencies without establishing ownership or authenticity.
Price / call$0.035154
Success—
StatusUnknown
How this service works
Check one-to-one aliases against every typed pin; identifier mapping does not establish ownership, rights or authenticity for protein/isoform/sequence-pinned measurement Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns an audit report detailing whether each identifier alias correctly maps one-to-one against its typed protein/isoform/sequence measurement pin, flagging mismatches, missing pins, or inconsistent crosswalk assignments. Does not certify ownership or authenticity.
Example use cases
Synthetic protein dataset identifier audit
“I have a batch of 15 synthetic protein measurement records and 15 identifier alias mappings — can you run a crosswalk audit to flag any mismatches between the aliases and the typed measurement pins?”
Isoform alias consistency check
“Before I submit this isoform dataset, can you check whether my 10 identifier mappings correctly crosswalk to their pinned measurement types? Data class is public and there's no personal metadata involved.”
Sequence pin conflict detection
“I need to verify that my protein sequence measurement rows and their one-to-one identifier aliases all line up — can you run the crosswalk audit on 25 rows and 25 mappings with data class set to synthetic?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/protein-measurements/identifier-crosswalk-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically validate that protein, isoform, or sequence measurement identifiers correctly resolve via one-to-one alias mappings against typed measurement pins — especially for auditing synthetic or public datasets before downstream processing. Prefer this over general data validation tools when the domain is specifically bioinformatics identifier crosswalking.
Side effects
- Rows or mappings arrays exceed 32 items — request rejected with validation error
- dataClass not one of 'public' or 'synthetic' — enum validation failure
- nonpersonalMetadata not set to true — required const constraint violation
- Malformed or incomplete mapping objects cause audit to return incomplete results
- Ambiguous alias structures may produce inconclusive crosswalk results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| mappings | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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