{"uid":"cap_KghcGjsg0s7TRVp3WyDzg","slug":"ownership-record-completeness-two-measure-correlation-date-by-a01088c8","name":"Ownership Record Completeness — Two-Measure Correlation + Date-by-Category Pivot","description":"Ownership record completeness — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot for supplied ownership record completeness records (documented_links, required_links). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-21-182?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","documented_links","required_links"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"required_links":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"documented_links":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","required_links":1,"documented_links":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","required_links":2,"documented_links":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","required_links":3,"documented_links":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","required_links":4,"documented_links":30}],"maxItems":200,"minItems":1},"field":{"enum":["documented_links","required_links"],"type":"string","default":"documented_links"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_mRTVaKLdqNZ5dvu92hhhg","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs two statistical reports on ownership record completeness data: a Pearson/Spearman correlation between documented_links and required_links, plus a date-by-category pivot table, for up to 200 rows.","exampleAgentPrompt":"I have ownership completeness records for two company groups over several dates — can you run a correlation between documented_links and required_links, and also pivot the data by date and company group? Here are the rows: row-1, 2026-10-01, group-a, documented_links=10, required_links=1; row-2, 2026-10-02, group-b, documented_links=20, required_links=2; row-3, 2026-10-03, group-a, documented_links=15, required_links=3; row-4, 2026-10-04, group-b, documented_links=30, required_links=4.","exampleUseCases":[{"title":"Ownership completeness audit across subsidiaries","prompt":"I have ownership completeness data for four subsidiaries over Q4 — can you correlate documented_links with required_links and also give me a pivot of documented_links by date and company group? I'll paste the rows: row-1, 2026-10-01, group-alpha, doc=50, req=60; row-2, 2026-10-02, group-beta, doc=40, req=55; row-3, 2026-10-03, group-alpha, doc=65, req=60; row-4, 2026-10-04, group-beta, doc=70, req=55."},{"title":"Regulatory compliance link gap analysis","prompt":"For our compliance report, I need to know how strongly our documented ownership links correlate with the required number, and I need a breakdown of documented_links by date and entity group. Here are 6 records spanning two groups over three dates — please run both the correlation and the date-category pivot."},{"title":"Monthly ownership data completeness review","prompt":"Can you analyze our ownership registry data for October? I want a correlation between how many links we've documented versus how many are required, plus a pivot showing documented_links grouped by company_group and date. I have 12 rows across three company groups."}],"resultDescription":"Returns two independent analytical reports: (1) a two-measure correlation report showing the statistical relationship (e.g. Pearson r) between documented_links and required_links across all supplied rows, and (2) a date-by-category pivot table aggregating values by date and company_group. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Input rows array is empty or missing — returns validation error","Row count exceeds 200 — request rejected","Invalid date format (not YYYY-MM-DD) — row fails schema validation","Null values in documented_links or required_links may reduce correlation sample size","Payment not received or insufficient USDC — x402 payment required error","row_id missing or empty string — schema validation failure"],"whenToPreferThis":"Choose this endpoint when you need both a pairwise correlation analysis and a date-by-category pivot on ownership record completeness data in a single API call. It is purpose-built for ownership link datasets (documented_links vs required_links) and bundles two reports for $0.01 USDC, making it cost-efficient versus calling separate analytics endpoints. Prefer it over generic stats tools when your data fits the ownership completeness schema with up to 200 rows and you want offline, supply-side computation with no external data access.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T12:44:57.132Z","isFirstParty":false,"canonicalSlug":"ownership-record-completeness-two-measure-correlation-date-by-a01088c8"}