{"uid":"cap_ZCtHmAcWm90Dzn_ukDrMC","slug":"company-record-completeness-numeric-distribution-secondary-measure-f4016a85","name":"Company Record Completeness — Numeric Distribution + Secondary-Measure Weighted Mean","description":"Company record completeness — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean 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-01-082?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_YWADhTh6X9Kpto0pvpW9_","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":"Computes a numeric distribution and a secondary-measure weighted mean for company record completeness data (populated_fields and required_fields) across up to 200 supplied rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you analyze the distribution of populated_fields across these company records and give me the secondary-measure weighted mean? I have 4 rows: group-a on 2026-10-01 with populated_fields=10 and required_fields=1, group-b on 2026-10-02 with populated_fields=20 and required_fields=2, group-a on 2026-10-03 with populated_fields=15 and required_fields=3, and group-b on 2026-10-04 with populated_fields=30 and required_fields=4.","exampleUseCases":[{"title":"Data quality audit across company groups","prompt":"I have a dataset of 50 company records with their populated_fields and required_fields counts, split across group-a and group-b. Can you run a numeric distribution and weighted mean analysis on the populated_fields so I can see how our data completeness is spread and where the average lands when weighted by required_fields?"},{"title":"Monthly record completeness benchmarking","prompt":"Here are our company record completeness numbers for October — about 120 rows with row IDs, dates, company groups, and both populated_fields and required_fields values. Please give me the distribution report and the secondary-measure weighted mean for required_fields so I can benchmark this month's data quality."},{"title":"Identifying completeness gaps between business units","prompt":"I want to compare record completeness between our two business units. I've got 80 rows tagged as either group-finance or group-ops, each with a date, populated_fields count, and required_fields count. Run a numeric distribution and weighted mean on populated_fields so I can see which unit has the biggest gaps."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution of the selected field (populated_fields or required_fields) across the supplied rows, showing how values are spread; and (2) a secondary-measure weighted mean, where the primary field is averaged using the other completeness metric as a weight. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Input array contains fewer than 1 row — minimum item requirement not met","row_id missing or empty string — required field validation failure","date field does not match YYYY-MM-DD pattern — format validation error","populated_fields or required_fields values outside allowed numeric range — schema rejection","More than 200 rows submitted — exceeds maxItems limit","field enum value not one of 'populated_fields' or 'required_fields' — invalid enum error","Null values in numeric fields may affect weighted mean computation if all values are null"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of company record completeness data (populated_fields and required_fields) and need both a numeric distribution report and a secondary-measure weighted mean in a single low-cost call ($0.01 USDC). Ideal for data quality teams running batch analytics on supplied data without needing live external lookups, predictions, or third-party data enrichment. Prefer over general analytics tools when you specifically need these two report types together on completeness-oriented company metadata.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:49.723Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-numeric-distribution-secondary-measure-f4016a85"}