{"uid":"cap_jKfqJoPTvIbz1xafD3LA9","slug":"customer-segment-observations-record-quality-audit-exact-row-f12ddef6","name":"Customer Segment Observations — Record Quality Audit + Exact Row Deduplication + Trailing Mean Series","description":"Customer segment observations — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series 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-16-216?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_yig8nebKII2njhpa1Qgzf","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 analytical reports (record quality audit, exact row deduplication, and trailing mean series) on customer segment observations data containing account counts and revenue amounts, for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, exact row deduplication check, and trailing mean series (window size 3) on my customer segment observations data — I have account_count and revenue_amount fields across company groups and dates, and I want the trailing mean computed over account_count?","exampleUseCases":[{"title":"Pre-pipeline data quality check","prompt":"Before I load my segment data into our warehouse, can you audit the record quality, flag any exact duplicate rows, and run a trailing mean with window 2 on revenue_amount for this batch of customer segment observations across group-a and group-b?"},{"title":"Segment deduplication for reporting","prompt":"I have up to 150 rows of customer segment observations with account_count and revenue_amount — can you find any exact duplicate rows and give me a quality audit so I can clean them up before my weekly report?"},{"title":"Rolling average trend analysis","prompt":"Can you compute a trailing mean series with window size 4 over account_count for my customer segment observations, and also tell me if there are any data quality or duplication issues in the dataset?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing values, anomalies, or format issues in the supplied rows; (2) an exact row deduplication report identifying fully identical records; and (3) a trailing (rolling) mean series computed over the selected numeric field (account_count or revenue_amount) using the specified window size — all derived locally from the supplied data with no external calls.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, company_group, date, account_count, revenue_amount) cause validation errors","Invalid date format (not YYYY-MM-DD) causes parsing failure","Window size larger than number of rows results in insufficient data for trailing mean","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) rejected","Empty rows array returns error"],"whenToPreferThis":"Use this endpoint when you need three bundled local analytics — quality audit, deduplication, and rolling mean — on customer segment time series data (account_count and revenue_amount) in a single low-cost call. It is ideal for pre-processing pipelines, data cleaning checks before reporting, or exploratory EDA on small-to-medium segment datasets (up to 200 rows). It does not make external lookups or predictions, so it's appropriate when you want deterministic, offline computation on data you already have.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T00:52:22.740Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-record-quality-audit-exact-row-f12ddef6"}