{"uid":"cap_CfGhsf8mFYMvixlWk_cRw","slug":"company-record-completeness-string-normalisation-date-by-category-pivot-2c5ddfe8","name":"Company Record Completeness — String Normalisation + Date by Category Pivot","description":"Company record completeness — String normalisation + Date by category pivot: String normalisation + Date by category pivot 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-01-035?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_oIw4LG1iCEaaOYxAdhOvi","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":"Normalises string fields and produces a date-by-category pivot report for up to 200 company record completeness rows, delivering two analytical reports per call.","exampleAgentPrompt":"Can you normalise my company record completeness data and give me a date-by-category pivot on the populated_fields field? I have rows for group-a and group-b spanning 2026-10-01 to 2026-10-04 with populated_fields and required_fields values.","exampleUseCases":[{"title":"Completeness audit across business units","prompt":"I have 150 rows of company record data across three business groups with dates and populated_fields counts — can you normalise the strings and pivot the populated_fields by date and category so I can see which groups are improving over time?"},{"title":"Required fields gap analysis by date","prompt":"Run a date-by-category pivot on my company completeness records using the required_fields column — I want to see how required field counts differ across company groups week by week so I can spot gaps."},{"title":"Data quality reporting for CRM cleanup","prompt":"We're cleaning up our CRM and I need two reports from our 80 company records: normalise the string fields and pivot the required_fields metric by date and company_group so the data team can prioritise which groups need attention."}],"resultDescription":"Returns two analytical reports: (1) a string-normalised view of the supplied company record completeness data, and (2) a date-by-category pivot table showing the selected metric (populated_fields or required_fields) broken down by company_group across dates — all computed locally with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — validation error","Date fields not matching YYYY-MM-DD pattern — schema rejection","populated_fields or required_fields outside numeric bounds — validation error","Invalid field enum value (not 'populated_fields' or 'required_fields') — schema rejection","Missing required row fields (row_id, company_group, date) — schema validation failure"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a date-by-category pivot on company record completeness data in a single low-cost call (0.01 USDC for two reports). It is ideal for batch offline analysis of up to 200 rows where no live data lookup, prediction, or external enrichment is needed — purely local analytical computation on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:58.428Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-string-normalisation-date-by-category-pivot-2c5ddfe8"}