{"uid":"cap_G2z-rcRZLfuJZb2ob7Mgw","slug":"neural-interface-records-missingness-co-occurrence-counter-b9cc6db9","name":"Neural Interface Records - Missingness Co-occurrence Counter","description":"Count paired missing owner, revision and content pins without silently treating a missing value as a matching value for synthetic neural-interface model/calibration/pipeline Supplied-record analysis, not independent certification. Full contract at the free describe URL.","url":"https://www.mahastrategies.com/api/v1/compute/neural-interface-records/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":"0.020326","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":"$0.020326/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.020326","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.020326","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_I8jtzKVMaAe_BjH2LNcwb","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.020326","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 (co-occurring null/absent owner, revision, and content pins) in neural-interface model/calibration/pipeline records without treating missing as matching.","exampleAgentPrompt":"Check these 10 synthetic neural-interface calibration records for co-occurring missing values — I need a count of how many rows are simultaneously missing their owner pin, revision pin, or content pin without treating any missing value as a match.","exampleUseCases":[{"title":"Audit calibration pipeline for paired nulls","prompt":"I have 20 synthetic neural-interface calibration records and I need to know how many of them are simultaneously missing both the owner pin and the revision pin — flag co-occurring missingness without treating nulls as matches."},{"title":"Validate model records before export","prompt":"Before I export these 15 public neural-interface model records, can you count how many have co-occurring missing values across owner, revision, and content pins so I can fix them?"},{"title":"Quality check synthetic pipeline data","prompt":"Run a missingness co-occurrence check on this batch of 8 synthetic neural-interface pipeline records — I need to know which pin fields are simultaneously absent across rows, not just individually missing."}],"resultDescription":"Returns counts of paired/co-occurring missing values across owner, revision, and content pin fields for the supplied neural-interface record rows, clearly distinguishing absence from matching and identifying how often multiple pins are simultaneously null.","failureModes":["Empty or malformed rows array returns validation error","dataClass value outside 'public' or 'synthetic' enum rejected","nonpersonalMetadata not set to true (const) causes rejection","More than 32 rows or fewer than 1 row returns schema validation error","Missing required fields in individual row objects may produce partial counts","Payment not supplied or insufficient USDC causes 402 error"],"whenToPreferThis":"Use this endpoint when you need to detect and count co-occurring (paired) missing values in neural-interface model, calibration, or pipeline records specifically, and you need guarantees that a missing value is never silently treated as a match. Prefer this over generic null-check tools when working with structured pin-based neural-interface records (owner, revision, content) and when auditability of missingness patterns matters.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T00:52:06.476Z","isFirstParty":false,"canonicalSlug":"neural-interface-records-missingness-co-occurrence-counter-b9cc6db9"}