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Glossary Records - Missingness Co-occurrence
x402
Glossary Records - Missingness Co-occurrence is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.020342/call, status unknown (last checked 2026-10-16).
Counts paired co-occurring missing fields (owner, revision, and content pins) across glossary records without treating missing values as matches, for vocabulary/term/language/namespace/revision-pinned glossary data.
Price / call$0.020342
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 vocabulary/term/language/namespace/revision-pinned glossary Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns co-occurrence counts of paired missing fields (owner pin, revision pin, content pin) across the submitted glossary rows, clearly distinguishing absent values from matching values and reporting which field pairs are simultaneously missing most often.
Example use cases
Glossary completeness audit before publication
“I have a batch of up to 30 public glossary rows and I need to know which combinations of owner, revision, and content pins are co-missing before we publish — can you count those paired missingness patterns without treating blanks as equivalents?”
Vocabulary dataset gap analysis
“We're reviewing our vocabulary term dataset (synthetic data, non-personal metadata only) — can you run a missingness co-occurrence check on these rows and tell me how often owner and revision pins are both absent at the same time?”
Terminology record QA for missing namespace and content pins
“Before we finalize our terminology records, can you check these public glossary rows for paired missing values across namespace, revision, and content pins, and give me the co-occurrence counts without any imputation?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/library/glossary-records/missingness-cooccurrence?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to quantify co-occurring missingness across owner, revision, and content pin fields in glossary or vocabulary records, specifically without silently equating a missing value to a match. Best for data quality audits on pinned glossary datasets (vocabulary, term, language, namespace, revision-pinned) using public or synthetic data with no personal metadata.
Side effects
- rows array empty or exceeds 32 items — validation error returned
- dataClass not one of 'public' or 'synthetic' — rejected with enum error
- nonpersonalMetadata not set to true (const constraint) — request rejected
- malformed row objects missing expected glossary fields — partial or error result
- upstream service unavailable — 5xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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