{"uid":"cap_AzoE4zbx_J6UK2PLPnb5K","slug":"company-record-completeness-string-normalisation-numeric-distribution-0d2bd9af","name":"Company Record Completeness – String Normalisation & Numeric Distribution","description":"Company record completeness — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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-01-022?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_zpQZbhpkaYkNNP3IOOhw0","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 string normalisation and numeric distribution analysis on up to 200 company record completeness rows (populated_fields and required_fields), returning two independent analytical reports.","exampleAgentPrompt":"Can you run string normalisation and numeric distribution reports on my company completeness data? I have 4 rows: row-1 for group-a on 2026-10-01 with populated_fields=10 and required_fields=1, row-2 for group-b on 2026-10-02 with populated_fields=20 and required_fields=2, row-3 for group-a on 2026-10-03 with populated_fields=15 and required_fields=3, and row-4 for group-b on 2026-10-04 with populated_fields=30 and required_fields=4 — analyse the populated_fields column.","exampleUseCases":[{"title":"Monthly completeness audit by company group","prompt":"I have 50 company records from October 2026 with their populated_fields and required_fields counts, split across group-a and group-b — can you run string normalisation and a numeric distribution analysis on the populated_fields column and give me two reports?"},{"title":"Detecting field completeness outliers","prompt":"Run a numeric distribution report on these 30 company records to help me spot outliers in required_fields — I have rows from group-alpha, group-beta, and group-gamma dated between 2026-09-01 and 2026-09-30."},{"title":"Cross-group completeness comparison","prompt":"I want to compare how consistently different company groups are filling out required fields — can you do a string normalisation and numeric distribution analysis on my 80 rows of completeness data, focusing on the required_fields column?"}],"resultDescription":"Two independent analytical reports: (1) a string normalisation report covering the company_group and date string fields, and (2) a numeric distribution report covering the selected numeric field (populated_fields or required_fields), covering up to 200 input rows with descriptive statistics and normalised representations.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, company_group, date, populated_fields, required_fields) causes rejection","Invalid date format (not YYYY-MM-DD) fails schema validation","Numeric values outside the allowed range cause rejection","Empty rows array is not accepted (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need offline, local analytical computation — specifically string normalisation and numeric distribution — on company record completeness data (populated_fields and required_fields) without any live data lookup, external enrichment, or ML prediction. Ideal for batch quality audits of up to 200 records at very low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:43.039Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-string-normalisation-numeric-distribution-0d2bd9af"}