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Publication Records Missingness Co-occurrence Checker
x402
Publication Records Missingness Co-occurrence Checker is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.020332/call, status unknown (last checked 2026-10-16).
Counts paired missing owner, revision, and content pins in publication record rows without treating absent values as matches, for bibliographic supplied-record analysis.
Price / call$0.020332
Success—
StatusUnknown
How this service works
Count paired missing owner, revision and content pins without silently treating a missing value as a matching value for publisher/work/DOI/edition-pinned bibliographic Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns counts of paired missing pin co-occurrences across owner, revision, and content fields for each supplied publication record row, without silently treating missing values as matches — enabling targeted remediation of bibliographic data gaps.
Example use cases
Bibliographic pipeline completeness audit
“I have a set of 20 publication records from our ingestion pipeline — they're public data and nonpersonal metadata only — can you count how many are simultaneously missing owner pins and content pins so I can flag them before indexing?”
DOI-pinned record missingness review
“Before we publish this batch of DOI-linked bibliographic entries, run them through a missingness co-occurrence check — treat them as synthetic data and nonpersonal metadata — so I can see which records have paired gaps in revision and owner fields.”
Edition-pinned record quality gate
“We're validating 15 edition-pinned publication records as public, nonpersonal metadata — can you count the co-occurring missing pins across owner, revision, and content fields so we know which ones need remediation before submission?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/publication-records/missingness-cooccurrence?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to detect co-occurring missing pins in publication records without risking false matches from absent values, especially for bibliographic audits involving owner, revision, content, DOI, publisher, work, or edition pins. Prefer over generic data-quality tools when the domain is scholarly or bibliographic metadata and you need paired-missingness semantics rather than simple null counts.
Side effects
- More than 32 rows submitted — API rejects with validation error
- nonpersonalMetadata not set to true — request rejected as const violation
- Invalid dataClass value outside 'public' or 'synthetic' enum — schema validation failure
- Empty rows array — rejected due to minItems:1 constraint
- Malformed row objects — processing error or partial results
- Payment failure via x402 — endpoint returns 402 before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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