{"uid":"cap_dbONSbpIl3Jd6X-HyuLyF","slug":"customer-segment-observations-record-quality-audit-numeric-row-ordering-bbf95286","name":"Customer Segment Observations — Record Quality Audit + Numeric Row Ordering","description":"Customer segment observations — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering for supplied customer segment observations records (account_count, revenue_amount). 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-16-007?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","account_count","revenue_amount"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"account_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"revenue_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","account_count":10,"company_group":"group-a","revenue_amount":1},{"date":"2026-10-02","row_id":"row-2","account_count":20,"company_group":"group-b","revenue_amount":2},{"date":"2026-10-03","row_id":"row-3","account_count":15,"company_group":"group-a","revenue_amount":3},{"date":"2026-10-04","row_id":"row-4","account_count":30,"company_group":"group-b","revenue_amount":4}],"maxItems":200,"minItems":1},"field":{"enum":["account_count","revenue_amount"],"type":"string","default":"account_count"}}},"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_zlerW_AInyaS7Euq3zBrR","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 a data quality audit and numeric row ordering report on up to 200 customer segment observation records (account_count or revenue_amount), returning two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and numeric row ordering report on my customer segment data — I have 4 rows with company groups group-a and group-b, dates starting 2026-10-01, and I want to analyze the account_count field?","exampleUseCases":[{"title":"Validate monthly segment data before reporting","prompt":"I need to audit these 12 rows of customer segment observations for data quality issues before I send them to the exec team — each row has a row_id, company_group, date, account_count, and revenue_amount. Can you check for bad records and also rank them by account_count?"},{"title":"Rank revenue figures across segment groups","prompt":"I have 50 rows of customer segment data with revenue_amount values across different company groups. Can you run the numeric row ordering report on the revenue_amount field so I can see which rows rank highest and lowest?"},{"title":"Detect nulls and ordering anomalies in segment dataset","prompt":"My data pipeline dumped 150 customer segment records and I want to catch any missing or invalid values, and also get them ranked by account_count — can you run both the quality audit and row ordering on all these rows at once?"}],"resultDescription":"Two independent reports: (1) a record quality audit flagging data issues such as missing, null, or out-of-range values for the specified numeric field across up to 200 rows; (2) a numeric row ordering report ranking rows by the selected field (account_count or revenue_amount). Both reports are generated locally without external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, company_group, date, account_count, revenue_amount) causes rejection","Invalid date format (not YYYY-MM-DD) fails pattern validation","Field value outside ±1,000,000,000,000 range fails schema validation","Empty rows array (minItems:1 violation) returns an error"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and numeric row ordering in a single low-cost call ($0.01 USDC) on a batch of up to 200 customer segment records with account_count and revenue_amount fields. Ideal for pre-reporting validation pipelines or lightweight ETL checks where no external data enrichment or prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T00:51:57.309Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-record-quality-audit-numeric-row-ordering-bbf95286"}