{"uid":"cap_k0giTxeEtjn0XiQ_xv0do","slug":"company-record-completeness-numeric-distribution-adjacent-row-changes-557f7e3f","name":"Company Record Completeness — Numeric Distribution + Adjacent Row Changes","description":"Company record completeness — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes for supplied company record completeness records (populated_fields, required_fields). 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-01-077?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","populated_fields","required_fields"],"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_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"populated_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","required_fields":1,"populated_fields":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","required_fields":2,"populated_fields":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","required_fields":3,"populated_fields":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","required_fields":4,"populated_fields":30}],"maxItems":200,"minItems":1},"field":{"enum":["populated_fields","required_fields"],"type":"string","default":"populated_fields"}}},"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_DS4DhEhyc1LdvqP3hG6Ph","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 local analytical reports on company record completeness data: a numeric distribution analysis and an adjacent-row change analysis for up to 200 rows.","exampleAgentPrompt":"Run a numeric distribution and adjacent row changes analysis on my company record completeness data — I have 10 rows with company_group, date, populated_fields, and required_fields values — and analyze the populated_fields column.","exampleUseCases":[{"title":"Auditing data completeness across company groups","prompt":"I have 50 rows of company record completeness data with populated_fields and required_fields for groups like 'EMEA' and 'APAC' — can you run a numeric distribution and adjacent row changes report on populated_fields so I can see where our data quality varies?"},{"title":"Detecting sudden drops in required field coverage","prompt":"Here are 120 rows of daily company record completeness snapshots — run the adjacent row changes analysis on required_fields so I can spot any sudden drops or spikes between consecutive days."},{"title":"Summarizing field population spread for a data governance review","prompt":"I need a numeric distribution summary of how populated_fields counts are spread across my 80 company records for a governance report — can you run both the distribution and adjacent row change reports on this dataset?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report showing the statistical spread of the selected field (populated_fields or required_fields) across the supplied rows, and (2) an adjacent row changes report showing the delta between consecutive rows for the selected field. Both reports are computed locally without any external lookups.","failureModes":["Input array is empty or exceeds 200 rows — validation error returned","required fields (row_id, company_group, date, populated_fields, required_fields) missing from any row — schema validation failure","date values not matching YYYY-MM-DD pattern — pattern validation error","field selector not one of 'populated_fields' or 'required_fields' — enum validation error","null numeric values may affect distribution calculations if all values are null"],"whenToPreferThis":"Choose this endpoint when you need a combined numeric distribution analysis and adjacent row change analysis on company record completeness data (populated_fields, required_fields) in a single low-cost call. It is ideal for batch analytical workflows on up to 200 rows of structured completeness data where no live lookup or external enrichment is needed. Prefer it over separate single-report endpoints when you want both distribution and row-change perspectives in one request for $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:44:57.744Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-numeric-distribution-adjacent-row-changes-557f7e3f"}