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Publication Records - Identifier Crosswalk Audit
x402
Publication Records - Identifier Crosswalk Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035262/call, status unknown (last checked 2026-10-20).
Checks one-to-one aliases across typed identifiers (publisher, work, DOI, edition) in bibliographic records to detect mapping inconsistencies, without establishing ownership or authenticity.
Price / call$0.035262
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 publisher/work/DOI/edition-pinned bibliographic Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a per-row audit of identifier alias consistency, highlighting crosswalk mismatches, duplicate mappings, and conflicting aliases across publisher, work, DOI, and edition identifiers. Does not certify ownership, rights, or authenticity — analysis is limited to supplied record data.
Example use cases
DOI alias consistency check
“I have a batch of 15 publication records and their DOI mappings — can you run an identifier crosswalk audit on them using synthetic data class to see if there are any one-to-one alias conflicts between the work IDs and DOI entries?”
Publisher catalog identifier QC
“We're cleaning up our publisher catalog and need to audit 30 bibliographic rows against their identifier mappings to spot any edition or work ID aliases that don't map consistently — please treat this as public data and confirm non-personal metadata only.”
Edition pinning mismatch detection
“Can you check these 10 edition-pinned bibliographic records and their crosswalk mappings to detect any mismatched or duplicate identifier aliases across publisher and work fields? Use synthetic data class and flag everything that looks inconsistent.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/publication-records/identifier-crosswalk-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to audit identifier alias consistency across bibliographic records — specifically crosswalking publisher, work, DOI, or edition identifiers — and want a record-quality signal without requiring independent certification of ownership or authenticity. Best suited for data quality control pipelines processing up to 32 rows of publication metadata at a time.
Side effects
- Rows or mappings arrays empty or exceed 32-item limit — returns validation error
- nonpersonalMetadata not set to true — request rejected
- dataClass value outside 'public' or 'synthetic' enum — schema validation failure
- Malformed identifier mapping objects — partial or no results returned
- Ambiguous alias structures may produce inconclusive audit flags rather than definitive mismatches
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| mappings | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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