{"uid":"cap_1l_da58ua8DQwS3KTzgOR","slug":"company-record-completeness-date-category-pivot-missing-value-fill-b66592a1","name":"Company Record Completeness — Date×Category Pivot + Missing-Value Fill","description":"Company record completeness — Date by category pivot + Explicit missing-value fill: Date by category pivot + Explicit missing-value fill 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-01-189?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_-8icfan27fV2faJHhtrs9","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":"Pivots company record completeness data by date and category, then fills missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Take these company record completeness rows — each has a date, a company_group, plus populated_fields and required_fields counts — and give me a date-by-category pivot on populated_fields plus fill any missing values using median imputation. I have about 80 rows across groups like 'group-a' and 'group-b' from last quarter.","exampleUseCases":[{"title":"Quarterly completeness audit by business unit","prompt":"I have 150 rows of record completeness data for our CRM — each row has a date, a business unit name, and counts for populated_fields and required_fields. Can you pivot populated_fields by date and business unit, and fill any gaps using median so I can see which units have patchy data over Q3?"},{"title":"Monthly data quality dashboard prep","prompt":"For our monthly data quality report, I need to pivot required_fields by date and company group for these 90 records, and fill any missing values with zero so the dashboard doesn't break. Can you run both reports?"},{"title":"Onboarding completeness gap analysis","prompt":"We're checking how thoroughly new company profiles got filled in during onboarding — I have 60 rows with dates, company_group, populated_fields, and required_fields. Pivot populated_fields by date and group and use mean to fill missing spots so I can spot which cohorts had the worst completion rates."}],"resultDescription":"Returns two analytical reports: (1) a date-by-category pivot table showing the selected field (populated_fields or required_fields) broken down by company_group across dates, and (2) the same dataset with explicit missing-value imputation applied using the chosen method (zero, mean, or median). Both reports are computed locally from the supplied rows with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — validation error","Date values not matching YYYY-MM-DD pattern — schema validation rejection","populated_fields or required_fields outside allowed numeric range — validation error","Invalid enum value for field or method parameters — schema rejection","All values present with no nulls — missing-value fill report will be unchanged from pivot","Highly sparse data across many groups/dates may produce mostly-imputed pivot with low analytical value"],"whenToPreferThis":"Choose this endpoint when you have pre-collected company record completeness data (populated_fields and required_fields per row) and need both a date-by-category pivot view and a missing-value-imputed version in one low-cost call. Ideal for offline/batch analytical prep where no live data lookup, prediction, or external enrichment is needed, and you want two complementary report formats simultaneously for up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:40.866Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-date-category-pivot-missing-value-fill-b66592a1"}