{"uid":"cap_T8kxTO--DQexffj8d39PJ","slug":"contact-record-quality-numeric-row-ordering-daily-sum-series-c758ce4c","name":"Contact Record Quality — Numeric Row Ordering + Daily Sum Series","description":"Contact record quality — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum series 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-03-114?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_nbfXPDo0R9V6y433pqrQk","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":"Performs two local analytical reports on contact record quality data: numeric row ordering and daily sum series for checked_records or duplicate_records fields, across up to 200 rows.","exampleAgentPrompt":"Analyze my contact record quality data — I have 4 rows with row IDs row-1 through row-4, dates from 2026-10-01 to 2026-10-04, company groups group-a and group-b, checked_records values of 10, 20, 15, 30, and duplicate_records of 1, 2, 3, 4 — give me both the numeric row ordering and daily sum series reports for the checked_records field.","exampleUseCases":[{"title":"Daily duplicate record trend analysis","prompt":"I have contact quality logs for the past week across two company groups — can you give me the numeric row ordering and daily sum series for duplicate_records? Here are my rows: row-1 on 2026-10-01 for group-a with 5 checked and 1 duplicate, row-2 on 2026-10-02 for group-b with 12 checked and 3 duplicates, row-3 on 2026-10-03 for group-a with 8 checked and 2 duplicates."},{"title":"Ranking contacts by checked record volume","prompt":"Sort my contact record quality rows by checked_records volume and also show me the daily totals — I've got row-1 through row-5 spanning 2026-09-01 to 2026-09-05, company groups alpha and beta, with checked_records ranging from 50 to 200 and duplicate_records from 2 to 15."},{"title":"Multi-group data quality audit summary","prompt":"Run the row ordering and daily sum analysis on my contact quality dataset for the checked_records field — I have 10 rows across three company groups (east, west, central) from 2026-11-01 to 2026-11-10, each with checked and duplicate record counts I'll provide."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric row ordering that ranks the supplied rows by the chosen metric field (checked_records or duplicate_records), and (2) a daily sum series that aggregates totals per date across the submitted rows. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, date, company_group, checked_records, or duplicate_records) in any row","Invalid date format (must match YYYY-MM-DD pattern)","Invalid field selector — must be 'checked_records' or 'duplicate_records'","row_id exceeds 80-character maxLength","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Payment failure — 0.01 USDC x402 payment not processed"],"whenToPreferThis":"Choose this endpoint when you need quick, low-cost (0.01 USDC) dual analytical reports — row ranking and daily aggregation — on contact record quality data without any external data lookup, prediction, or professional assessment. Ideal for CRM data audits, deduplication monitoring dashboards, and data quality pipelines where you want both a ranked view and a time-series daily sum in one API call for up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:01.070Z","isFirstParty":false,"canonicalSlug":"contact-record-quality-numeric-row-ordering-daily-sum-series-c758ce4c"}