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Genomic Records Identifier Crosswalk Audit
x402
Genomic Records Identifier Crosswalk Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035148/call, status unknown (last checked 2026-10-20).
Checks one-to-one aliases between genomic identifier rows and mappings, auditing consistency across typed pins for non-personal assembly, contig, version, and coordinate records.
Price / call$0.035148
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 nonpersonal assembly/contig/version/coordinate Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a crosswalk audit report indicating whether each identifier row has a consistent one-to-one alias match against the supplied mappings, highlighting typed pin mismatches, inconsistencies, or conflicts — without establishing ownership or authenticity.
Example use cases
Public genome assembly identifier audit
“I have 15 public genomic assembly records and 15 identifier mappings — can you run a crosswalk audit to make sure all the one-to-one aliases are consistent and flag any mismatches across typed pins?”
Synthetic genomic contig alias validation
“Check these 20 synthetic genomic contig identifier rows against my 20 mappings to verify the crosswalk aliases hold up correctly — the metadata is nonpersonal and the data class is synthetic.”
Version coordinate identifier consistency check
“I need to audit identifier consistency for 8 genomic version and coordinate records against 8 supplied mappings — data class is public and all records are nonpersonal metadata. Can you run the crosswalk audit?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/genomic-records/identifier-crosswalk-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically audit whether genomic identifiers (assembly, contig, version, coordinate) correctly alias one-to-one across supplied datasets of up to 32 rows, specifically for nonpersonal public or synthetic data, and you want a supplied-record analysis rather than independent certification.
Side effects
- rows or mappings arrays exceed 32 items — request rejected
- dataClass not set to 'public' or 'synthetic' — validation error
- nonpersonalMetadata not set to true — request rejected
- mismatched row/mapping counts causing incomplete audit
- malformed identifier formats causing pin-type resolution failures
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| mappings | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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