{"uid":"cap_dDUhtlIWvL9ODB0454nvx","slug":"ephemeris-snapshots-missingness-co-occurrence-da24a3cb","name":"Ephemeris Snapshots Missingness Co-occurrence","description":"Count paired missing owner, revision and content pins without silently treating a missing value as a matching value for target/centre/frame/time-scale/correction/kernel-pinned ephemeris Supplied-record analysis, not independent certification. Full contract at the free describe URL.","url":"https://www.mahastrategies.com/api/v1/celestial/ephemeris-snapshots/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":"0.020329","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":"$0.020329/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.020329","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.020329","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_r7R-L_RIEITdAy5XxU6xN","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.020329","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Counts paired missing owner, revision, and content pins in ephemeris snapshot records, detecting co-occurring null combinations without treating missing as matching.","exampleAgentPrompt":"Can you check these 15 ephemeris snapshot rows (public data) and count how many have paired missing fields — like where owner and revision are both null at the same time, or target and centre are missing together?","exampleUseCases":[{"title":"Audit ephemeris batch before ingestion","prompt":"I have 20 ephemeris snapshot records tagged as public data that I'm about to ingest — can you scan them and tell me which combinations of missing pins (like owner+revision or target+frame) appear together most often so I know what needs fixing?"},{"title":"Validate synthetic ephemeris test fixtures","prompt":"These 10 synthetic ephemeris snapshot rows are test fixtures — can you check them for co-occurring missing metadata fields like missing correction and kernel pins at the same time, so I can catch gaps before publishing?"},{"title":"Data quality report on celestial pipeline output","prompt":"My celestial data pipeline just produced 30 ephemeris snapshots marked as public — can you count all the paired-null combinations across owner, revision, content, target, centre, frame, time-scale, and correction pins so I can generate a data quality report?"}],"resultDescription":"Returns counts of co-occurring missing pin combinations across owner, revision, content, target, centre, frame, time-scale, correction, and kernel fields in the supplied ephemeris snapshot rows — identifying how often each pair of fields is simultaneously null, without treating absent values as matching values.","failureModes":["More than 32 rows submitted — input array exceeds maxItems limit","dataClass not set to 'public' or 'synthetic' — enum validation failure","nonpersonalMetadata not set to true — const constraint violation","Empty rows array (minItems 1 not met)","Malformed row objects not matching expected ephemeris snapshot structure"],"whenToPreferThis":"Choose this endpoint when you need to audit supplied ephemeris snapshot records specifically for co-occurring missing metadata pins (owner, revision, content, target, centre, frame, time-scale, correction, kernel) and need accurate null detection that does not treat missing as matching. Best for pre-ingestion data quality checks, pipeline output validation, and multi-field missingness analysis on celestial ephemeris data — not for independent certification or recomputing ephemeris values.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:30.564Z","isFirstParty":false,"canonicalSlug":"ephemeris-snapshots-missingness-co-occurrence-da24a3cb"}