{"uid":"cap_w2OvpOqJ-u1thraE31JLs","slug":"contact-record-quality-numeric-row-ordering-explicit-missing-value-fill-26da037a","name":"Contact Record Quality — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Contact record quality — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill 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-03-124?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_wko7wspC6wHWX7osAtVHe","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":"Sorts contact record quality rows numerically and fills missing values in checked_records or duplicate_records fields using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a contact record quality dataset with up to 200 rows including checked_records and duplicate_records — can you sort the rows numerically and fill any missing checked_records values using median imputation, and give me two analytical reports?","exampleUseCases":[{"title":"CRM data cleanup before import","prompt":"I'm about to import contact records into our CRM and I have a CSV with checked_records and duplicate_records columns — some values are null. Can you sort all 150 rows numerically and fill the missing checked_records using median imputation so the data is clean before I upload?"},{"title":"Deduplication audit with zero-fill","prompt":"I need to audit our contact deduplication quality across groups A and B. I have 80 rows with date, company_group, checked_records, and duplicate_records — some duplicate_records entries are missing. Please order the rows numerically and fill those nulls with zero, and give me the two reports."},{"title":"Monthly contact quality reporting","prompt":"For my monthly contact quality report, I have 200 rows of checked_records and duplicate_records data across multiple company groups from October 2026. Sort them numerically and use mean fill for any missing duplicate_records values, then show me both analytical reports."}],"resultDescription":"Returns two analytical reports: one showing the numerically ordered rows for the contact record quality dataset, and one showing the dataset with missing values in the selected field (checked_records or duplicate_records) filled using the specified method (zero, mean, or median). No external data is fetched; all computation is performed locally on the supplied rows.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field value exceeds numeric bounds (±1,000,000,000,000) — rejected","Missing required fields (row_id, company_group, date) — validation error","Invalid method enum value — schema rejection","Invalid field enum value — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need both numeric row sorting and missing-value imputation applied to contact record quality data (checked_records and duplicate_records) in a single paid call, and you want two independent reports delivered at once. Ideal for small-to-medium datasets (up to 200 rows) where no external lookup or ML prediction is needed — purely local analytical computation on your supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:00.294Z","isFirstParty":false,"canonicalSlug":"contact-record-quality-numeric-row-ordering-explicit-missing-value-fill-26da037a"}