{"uid":"cap_it16GvzO-7mVvfMJ4oQUU","slug":"contact-record-quality-string-normalisation-date-by-category-pivot-ca13c4d2","name":"Contact Record Quality — String Normalisation + Date by Category Pivot","description":"Contact record quality — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied contact record quality records (checked_records, duplicate_records). 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-03-035?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","checked_records","duplicate_records"],"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},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duplicate_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","checked_records":10,"duplicate_records":1},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","checked_records":20,"duplicate_records":2},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","checked_records":15,"duplicate_records":3},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","checked_records":30,"duplicate_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["checked_records","duplicate_records"],"type":"string","default":"checked_records"}}},"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_i9DDlg3ERamcYNmaF2lmP","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 two local analytical reports on contact record quality data: string normalisation and a date-by-category pivot for checked_records and duplicate_records metrics across up to 200 rows.","exampleAgentPrompt":"Can you run a string normalization and date-by-category pivot on my contact record quality data? I have rows with company_group, date, checked_records, and duplicate_records fields — analyze the checked_records field across up to 200 rows.","exampleUseCases":[{"title":"CRM duplicate rate review by company","prompt":"I have a list of contact record quality snapshots from our CRM — each row has a company group, a date, and counts of checked and duplicate records. Can you normalize the string fields and give me a pivot showing duplicate_records broken out by company group and date?"},{"title":"Weekly data quality audit report","prompt":"Run a string normalisation and date-by-category pivot on these 150 rows of contact quality data — I want to focus on the checked_records field and see how each company group trends over the week."},{"title":"Deduplication metric analysis for data team","prompt":"I need two reports on this contact quality dataset: normalize the text fields and produce a date-pivot of duplicate_records by category — here are the rows with row_id, company_group, date, checked_records, and duplicate_records."}],"resultDescription":"Returns two analytical reports using local engines: (1) a string-normalised version of the contact record quality data, and (2) a date-by-category pivot table for the selected field (checked_records or duplicate_records) grouped by company_group and date — all computed offline with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Missing required fields (row_id, company_group, date, checked_records, duplicate_records) — validation error","Invalid date format (not YYYY-MM-DD) — schema pattern mismatch","Invalid field enum value (must be 'checked_records' or 'duplicate_records') — rejected","Numeric values outside allowed range (±1,000,000,000,000) — validation failure","Empty rows array — minItems violation"],"whenToPreferThis":"Choose this endpoint when you need fast, offline analytical processing of contact record quality data — specifically string normalisation combined with a date-by-category pivot — for up to 200 rows. It is ideal when you want two bundled reports (normalisation + pivot) in a single low-cost call without any live data lookup, external enrichment, or prediction. Prefer alternatives if you need real-time CRM integration, more than 200 rows, or a different combination of analytical report types.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:17.378Z","isFirstParty":false,"canonicalSlug":"contact-record-quality-string-normalisation-date-by-category-pivot-ca13c4d2"}