{"uid":"cap_5-5Mj77jm7Tk_8wS6a94n","slug":"contact-record-quality-numeric-row-ordering-two-measure-correlation-73483703","name":"Contact Record Quality — Numeric Row Ordering & Two-Measure Correlation","description":"Contact record quality — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation 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-03-120?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_WQdj1RJyszvQPhctBBF4Y","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":"Ranks contact record quality rows by numeric order and computes correlation between checked_records and duplicate_records across up to 200 supplied rows, returning two analytical reports.","exampleAgentPrompt":"I have contact record quality data for two company groups over four dates — can you rank those rows by checked_records and also compute the correlation between checked_records and duplicate_records across all rows? Here's the data: group-a on 2026-10-01 had 10 checked and 1 duplicate, group-b on 2026-10-02 had 20 checked and 2 duplicates, group-a on 2026-10-03 had 15 checked and 3 duplicates, group-b on 2026-10-04 had 30 checked and 4 duplicates.","exampleUseCases":[{"title":"Duplicate rate trend across company groups","prompt":"I want to know if there's a correlation between the number of records we checked and the number of duplicates we found across our two company groups last quarter — here's the data with row IDs, dates, company group, checked_records, and duplicate_records for 12 rows. Rank the rows by checked_records and show me the correlation."},{"title":"CRM data quality audit ranking","prompt":"We ran a contact quality audit and I have 50 rows of results with row IDs, dates, company group, checked_records, and duplicate_records. Can you sort those rows numerically by duplicate_records and give me a correlation report between the two measures?"},{"title":"Monthly contact hygiene report","prompt":"Here are our monthly contact hygiene numbers for group-a and group-b — 30 rows total with dates, checked_records, and duplicate_records per row. Please rank them by checked_records and compute the two-measure correlation so I can see how duplicate volume tracks against total records checked."}],"resultDescription":"Returns two analytical reports: (1) the input rows reordered numerically by the specified field (checked_records or duplicate_records), and (2) a correlation analysis between the checked_records and duplicate_records measures across all supplied rows. Up to 200 rows processed per call.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, company_group) cause validation errors","Non-date-format strings in the date field fail pattern validation","Null values in both measure fields for a row may produce undefined correlation results","Fewer than 2 rows supplied may yield degenerate or meaningless correlation output"],"whenToPreferThis":"Choose this endpoint when you have pre-collected contact record quality tabular data (checked_records and duplicate_records) and need both a numeric row ranking and a correlation coefficient between the two measures in a single cheap call ($0.01 USDC). It is a local analytical engine — no external lookups or live data enrichment — so it is ideal for fast, offline batch analysis of up to 200 rows. Prefer alternatives if you need predictive modeling, live CRM integration, or more than 200 rows at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:53:38.173Z","isFirstParty":false,"canonicalSlug":"contact-record-quality-numeric-row-ordering-two-measure-correlation-73483703"}