{"uid":"cap_WFsnq7C78CW7zJYpY2qVm","slug":"customer-segment-observations-record-quality-audit-string-da8e331d","name":"Customer Segment Observations — Record Quality Audit + String Normalisation + Grouped Numeric Summary","description":"Customer segment observations — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-16-194?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_7MlYxS_xcMTHpp1itibgO","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 data: record quality audit, string normalisation, and grouped numeric summary for account_count or revenue_amount fields.","exampleAgentPrompt":"Can you audit the quality, normalise the company group strings, and give me a grouped summary of revenue_amount for these customer segment rows: [{row_id: 'r1', company_group: 'Alpha Corp', date: '2024-01-01', account_count: 50, revenue_amount: 12000}, {row_id: 'r2', company_group: 'alpha corp', date: '2024-01-02', account_count: 30, revenue_amount: 8500}]?","exampleUseCases":[{"title":"Revenue rollup by company group","prompt":"I have about 80 rows of customer segment observations with company_group and revenue_amount — can you run the quality audit, string normalisation, and grouped numeric summary on them so I can see total revenue per group cleanly?"},{"title":"Account count data quality check","prompt":"Before I load this segment dataset into our dashboard, can you audit the record quality, normalise the company_group labels, and summarise account_count by group? I've got around 150 rows."},{"title":"Cleaning inconsistent segment labels","prompt":"Our segment data has company_group values entered inconsistently — like 'Group A', 'group a', 'GROUP A' — can you normalise those strings and also audit record quality and give me a grouped account_count summary across these 60 rows?"}],"resultDescription":"Three reports returned in a single response: (1) a record quality audit flagging missing values, type issues, and malformed fields; (2) a string normalisation report on the company_group field; and (3) a grouped numeric summary (totals, averages, counts) for the selected field (account_count or revenue_amount) segmented by company_group.","failureModes":["Exceeding 200 rows causes rejection","Missing required fields (row_id, company_group, date, account_count, revenue_amount) causes validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside ±1,000,000,000,000 are rejected","Payment failure via x402 protocol blocks execution"],"whenToPreferThis":"Choose this endpoint when you need a combined data quality audit, string normalisation, and grouped numeric summary for customer segment observations in a single $0.01 call, with up to 200 rows and no external data dependencies. Prefer it over separate audit or summarisation tools when you want all three reports together without multiple API calls.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T06:58:33.107Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-record-quality-audit-string-da8e331d"}