{"uid":"cap_DqQAxEbOdQdcXbtCbdht9","slug":"protein-measurements-missingness-co-occurrence-analyzer-660cdf75","name":"Protein Measurements Missingness Co-occurrence Analyzer","description":"Count paired missing owner, revision and content pins without silently treating a missing value as a matching value for protein/isoform/sequence-pinned measurement Supplied-record analysis, not independent certification. Full contract at the free describe URL.","url":"https://www.mahastrategies.com/api/v1/compute/protein-measurements/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":"0.020314","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":"$0.020314/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.020314","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.020314","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_A8Z8t_pbRjQ6-cCYcYJ3B","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.020314","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 protein/isoform/sequence-pinned measurement records without silently treating missing as matching","exampleAgentPrompt":"Check these 10 protein measurement records (public data, non-personal metadata only) for co-occurring missing pins — I want to know which rows have paired absences across owner, revision, and content pin fields without treating any missing value as a match.","exampleUseCases":[{"title":"Proteomics pipeline data quality audit","prompt":"I have up to 30 synthetic protein measurement rows from our isoform pipeline — can you count all the co-occurring missing owner, revision, and content pin combinations so I can see which pairs of fields go missing together?"},{"title":"Catching silent null-match bugs in measurements","prompt":"Before we reuse these public protein assay records, check them for paired missingness across owner and content pins — I don't want any case where two missing values are silently treated as matching."},{"title":"Pre-publication protein dataset validation","prompt":"We're about to publish this set of sequence-pinned protein measurements marked as public, non-personal metadata — run a missingness co-occurrence check on all 20 rows so we know which pin fields are simultaneously absent."}],"resultDescription":"Returns counts and details of paired missing values across owner, revision, and content pin fields for each submitted protein/isoform/sequence-pinned measurement row, without conflating missing values as matching — effectively a co-occurrence matrix of missingness per pin type.","failureModes":["Rows array exceeds 32-item limit — returns validation error","dataClass not set to 'public' or 'synthetic' — enum validation failure","nonpersonalMetadata not set to true (const) — request rejected","Empty rows array (minItems:1 violated) — validation error","Malformed row objects — parsing or schema validation error"],"whenToPreferThis":"Choose this endpoint when you need to audit protein, isoform, or sequence-pinned measurement records specifically for co-occurring missing pin values (owner, revision, content) and want explicit counts rather than silent null-equals-null treatment. Ideal for pre-publication data quality checks, pipeline integrity validation, and catching silent matching bugs in proteomics datasets with up to 32 rows of public or synthetic non-personal data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:22.175Z","isFirstParty":false,"canonicalSlug":"protein-measurements-missingness-co-occurrence-analyzer-660cdf75"}