{"uid":"cap_W2zicn-sgHkpDDgVezlOI","slug":"market-catalogues-missingness-co-occurrence-359b911f","name":"Market Catalogues - Missingness Co-occurrence","description":"Count paired missing owner, revision and content pins without silently treating a missing value as a matching value for merchant/catalogue/SKU/revision-pinned public product Supplied-record analysis, not independent certification. Full contract at the free describe URL.","url":"https://www.mahastrategies.com/api/v1/intel/market-catalogues/missingness-cooccurrence?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","maxItems":32,"minItems":1},"dataClass":{"enum":["public","synthetic"],"type":"string"},"nonpersonalMetadata":{"type":"boolean","const":true}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.020337","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.020337/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.020337","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.020337","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_DNtMnUZ4qqpAd9QhS4aXc","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.020337","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Counts paired missing values across owner, revision, and content pins in merchant/catalogue/SKU/revision-pinned public product records, detecting co-occurring missingness without treating absent values as matching.","exampleAgentPrompt":"Check these 20 public market catalogue rows for co-occurring missingness across owner, revision, and content pins — I need to know which pin pairs are simultaneously absent across records, not just individually missing.","exampleUseCases":[{"title":"Catalogue data quality audit","prompt":"I have a batch of 30 public product catalogue records from our merchant feed — can you run them through missingness co-occurrence analysis to find out which records are missing both owner and content pins at the same time?"},{"title":"SKU revision pin gap detection","prompt":"Before we publish this catalogue update, check these 25 public SKU rows for any cases where both the revision pin and content pin are absent together — I don't want silently mismatched empty fields slipping through."},{"title":"Synthetic catalogue completeness check","prompt":"We generated 15 synthetic catalogue entries for testing — run a co-occurring missingness check on them to see how often owner, revision, and content pins are simultaneously missing across the records."}],"resultDescription":"Returns counts of paired missing pin occurrences across owner, revision, and content fields in the supplied catalogue rows, identifying which combinations of pins are co-absent without treating missing values as matching values. This is a supplied-record analysis, not independent certification.","failureModes":["Rows array empty or exceeds 32-item limit — validation error returned","nonPersonalMetadata not set to true — request rejected","dataClass not one of 'public' or 'synthetic' — enum validation failure","Malformed row objects in array — parsing or schema error","Payment not completed via x402 protocol — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you need to specifically identify and count co-occurring missing pin pairs (owner, revision, content) in market catalogue records, particularly where silent treatment of missing values as matching would corrupt downstream analysis. Prefer this over generic null-checking tools when working with merchant/catalogue/SKU-pinned product data structures and needing precise paired-absence statistics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T12:43:20.070Z","isFirstParty":false,"canonicalSlug":"market-catalogues-missingness-co-occurrence-359b911f"}