{"uid":"cap_dmbYa2yN2CyCnoFvyTSV9","slug":"customer-segment-observations-record-quality-audit-exact-row-93234bb0","name":"Customer Segment Observations — Record Quality Audit + Exact Row Deduplication + Numeric Interval Filter","description":"Customer segment observations — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter 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-16-214?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_5Xx93_aksnEsfHkcn0lKM","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 rows: a record quality audit, exact row deduplication, and a numeric interval filter on account_count or revenue_amount fields.","exampleAgentPrompt":"Can you run a data quality audit, deduplication, and numeric interval filter on my customer segment observations — I have rows with company_group, date, account_count, and revenue_amount fields, and I want to filter on account_count between 0 and 500?","exampleUseCases":[{"title":"Revenue range filter for segment reporting","prompt":"I have about 80 customer segment observation rows with company groups, dates, account counts, and revenue amounts. Can you run a quality audit, remove exact duplicate rows, and then filter down to only the rows where revenue_amount is between 1000 and 50000?"},{"title":"Deduplication audit before pipeline load","prompt":"Before I load my customer segment dataset into our data warehouse, can you check it for record quality issues and exact duplicate rows? I'll give you up to 150 rows with row_id, company_group, date, account_count, and revenue_amount."},{"title":"Account count range validation for segment QA","prompt":"I need to validate my segment observations dataset — please audit record quality, deduplicate exact rows, and flag which rows have account_count outside the range of 10 to 200. I have around 60 rows across several company groups."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, malformed, or out-of-range values across input rows; (2) an exact row deduplication report identifying and removing fully duplicate records; (3) a numeric interval filter report listing which rows fall within or outside the specified minimum/maximum range for the chosen field (account_count or revenue_amount). All reports are computed locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, company_group, date, account_count, revenue_amount) cause schema rejection","Invalid date format (non-YYYY-MM-DD) causes pattern validation failure","minimum greater than maximum may yield empty filter results","Numeric values outside ±1,000,000,000,000 are rejected by schema constraints","Empty rows array (minItems:1 violation) returns error"],"whenToPreferThis":"Choose this endpoint when you need three bundled data quality operations — quality audit, deduplication, and numeric range filtering — applied together to a batch of up to 200 customer segment observation rows containing account_count and revenue_amount fields. It is cost-effective at $0.01 for all three reports and requires no external connectivity or prediction. Prefer it over general-purpose data tools when your data specifically follows the customer segment schema (company_group, date, account_count, revenue_amount).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T06:43:34.249Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-record-quality-audit-exact-row-93234bb0"}