{"uid":"cap_0xZbsmBBuFt6mwros-eeI","slug":"customer-segment-observations-record-quality-audit-string-9eedcf31","name":"Customer Segment Observations — Record Quality Audit, String Normalisation & Weighted Mean","description":"Customer segment observations — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied customer segment observations records (account_count, revenue_amount). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 r","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-16-205?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_SjND3pvW62Cx7QkBKVqxj","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 three local analytical reports on customer segment observation records: a record quality audit, string normalisation, and a secondary-measure weighted mean for account_count or revenue_amount fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and weighted mean on my customer segment data — I have rows with company_group, date, account_count, and revenue_amount fields, and I want the weighted mean calculated on the revenue_amount field?","exampleUseCases":[{"title":"Revenue data quality check","prompt":"I've got a batch of customer segment observations with company groups like 'group-a' and 'group-b', dates, account counts, and revenue amounts — can you audit the record quality, normalise the company group strings, and give me the weighted mean of revenue_amount across all rows?"},{"title":"Account count weighted average by segment","prompt":"Run a record quality audit and compute the weighted mean for account_count across my customer segment rows — I'll send you up to 50 rows with row_id, company_group, date, account_count, and revenue_amount."},{"title":"Segment string normalisation before reporting","prompt":"Before I merge my customer segment data into a report, can you normalise the company_group strings and also flag any quality issues in the records? I have about 80 rows with account_count and revenue_amount values."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed dates; (2) a string normalisation report for the company_group field; and (3) a weighted mean of the selected secondary measure (account_count or revenue_amount). All computed locally with no external lookups.","failureModes":["More than 200 rows submitted — batch size exceeds limit","Missing required fields (row_id, company_group, date, account_count, or revenue_amount) — validation error","Malformed date strings not matching YYYY-MM-DD pattern — schema rejection","Numeric values outside allowed range (±1,000,000,000,000) — rejected","Invalid field enum value (not account_count or revenue_amount) — rejected","Empty rows array — minimum 1 row required"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical passes — quality audit, string normalisation, and weighted mean — on customer segment observation data (account_count and revenue_amount) for up to 200 rows in a single low-cost call. It is ideal for lightweight, offline data preparation and validation steps before downstream reporting or merging, where no live prediction, external lookup, or professional assessment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T06:58:39.715Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-record-quality-audit-string-9eedcf31"}