{"uid":"cap_fMXMfy3UKAbOWirj5awRT","slug":"company-record-completeness-category-frequencies-adjacent-row-changes-30e8abbe","name":"Company Record Completeness — Category Frequencies & Adjacent Row Changes","description":"Company record completeness — Category frequencies + Adjacent row changes: Category frequencies + 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-01-104?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_LoMiEDK5aWi1WQf7uJk2C","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":"Analyzes company record completeness data (populated_fields, required_fields) by computing category frequencies and adjacent row changes across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Analyze the completeness of my company records — here are 5 rows with row_id, company_group, date, populated_fields, and required_fields — and give me the category frequencies plus adjacent row changes for the populated_fields column.","exampleUseCases":[{"title":"Data quality audit by company group","prompt":"I have a batch of 50 company records grouped into 'enterprise' and 'smb' with daily dates, populated_fields, and required_fields counts. Can you run the category frequency and adjacent row change reports on populated_fields so I can see where completeness is dropping off?"},{"title":"Tracking required fields coverage over time","prompt":"Here are 120 rows of company record data spanning October 2025, each with a row_id, company_group, date, required_fields, and populated_fields. Run both the frequency and adjacent-row-change analyses on required_fields so I can spot which days had the biggest gaps."},{"title":"Completeness baseline for CRM migration","prompt":"We're migrating our CRM and I need to understand the current state of our company records. I've got 80 rows with company groups, dates, and populated vs required field counts — can you compute the category frequencies and row-to-row changes for populated_fields to build a completeness baseline?"}],"resultDescription":"Returns two analytical reports: (1) category frequency counts showing how often each completeness category (based on populated_fields or required_fields values) appears across the supplied rows, and (2) adjacent row changes showing the delta between consecutive rows for the selected field, segmented by company_group and date.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows submitted — excess rows rejected or error returned","Invalid date format (not YYYY-MM-DD) — validation error","Missing required fields (row_id, company_group, date) — schema validation failure","Non-numeric values for populated_fields or required_fields — type error","Invalid field enum value (not 'populated_fields' or 'required_fields') — rejected"],"whenToPreferThis":"Choose this endpoint when you have a local batch of company record completeness data (up to 200 rows) and need both a frequency distribution of completeness categories AND row-to-row change detection in a single low-cost call. It is best suited for offline/batch analytical use cases where no live data lookup, prediction, or external enrichment is needed — purely local statistical computation on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:23.393Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-category-frequencies-adjacent-row-changes-30e8abbe"}