{"uid":"cap_UgSRmsmQstkSUAannx2QW","slug":"customer-segment-observations-record-quality-audit-string-2efc3199","name":"Customer Segment Observations — Record Quality Audit, String Normalisation & Numeric Row Ordering","description":"Customer segment observations — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering 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-16-196?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_hIvJ6O_2MzPw00DXgsDXR","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 numeric row ordering for account_count or revenue_amount fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric row ordering on my customer segment observations — I have 4 rows with company groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, account counts of 10, 20, 15, and 30, revenue amounts of 1, 2, 3, and 4, and I want the ordering done on the account_count field?","exampleUseCases":[{"title":"Pre-pipeline data quality check","prompt":"I've got about 50 customer segment rows with company groups, dates, account counts, and revenue amounts — can you audit them for record quality issues, normalise the string fields, and order them by revenue_amount so I can catch any problems before loading them into our warehouse?"},{"title":"Monthly segment report cleanup","prompt":"Before I share the monthly segment report with leadership, can you run quality audit, string normalisation, and numeric ordering on these 120 customer segment observations? The key metrics are account_count and revenue_amount, and I want the rows ordered by account_count."},{"title":"New data feed validation","prompt":"We just received a batch of 80 customer segment records from a third-party feed — can you check their quality, normalise the company group strings, and order the rows by revenue_amount to see if the data looks reasonable?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging issues like nulls, out-of-range values, or malformed dates across the supplied rows; (2) a string normalisation report showing cleaned/standardised versions of string fields like company_group; (3) a numeric row ordering report ranking rows by the selected numeric field (account_count or revenue_amount). All computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, company_group, date, account_count, revenue_amount) — row-level validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — validation error","Invalid field enum value (not account_count or revenue_amount) — schema error","Empty rows array — minItems violation"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations — quality audit, string normalisation, and numeric ordering — on up to 200 customer segment observation rows in a single low-cost call. It is ideal for pre-processing or validating customer segment data before ingestion into downstream systems, and it operates entirely on supplied data with no external dependencies. Prefer it over general-purpose data tools when working specifically with customer segment records containing account_count and revenue_amount fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T06:58:24.349Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-record-quality-audit-string-2efc3199"}