{"uid":"cap_HI5Pa3I68FIe4NVWvGIBv","slug":"customer-segment-observations-string-normalisation-duplicate-key-report-729ac661","name":"Customer Segment Observations — String Normalisation + Duplicate Key Report","description":"Customer segment observations — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied customer segment observations records (account_count, revenue_amount). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-16-021?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}}},"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_9KLQzJD0s1ppfW892s6l9","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 string normalisation and duplicate key detection reports on supplied customer segment observation records (account_count, revenue_amount) for up to 200 rows.","exampleAgentPrompt":"Can you run a string normalisation check and duplicate key report on my customer segment observations? Here are 4 rows: row-1 for group-a on 2026-10-01 with 10 accounts and $1 revenue, row-2 for group-b on 2026-10-02 with 20 accounts and $2 revenue, row-3 for group-a on 2026-10-03 with 15 accounts and $3 revenue, and row-4 for group-b on 2026-10-04 with 30 accounts and $4 revenue.","exampleUseCases":[{"title":"Pre-merge segment data validation","prompt":"Before I merge these customer segment files, can you check for duplicate row IDs and normalise the company_group strings? I have about 150 rows with account_count and revenue_amount fields — here's the data."},{"title":"Weekly segment report data cleaning","prompt":"I just pulled this week's customer segment observations — can you run a string normalisation pass and flag any duplicate keys across the company_group and date columns? There are around 80 rows with account counts and revenue figures."},{"title":"Audit imported CRM segment records","prompt":"We imported customer segment records from our CRM and I'm worried about inconsistent casing in company_group names and duplicate row IDs. Can you run both the string normalisation and duplicate key reports on these 200 rows of account and revenue data?"}],"resultDescription":"Two independent analytical reports: (1) a string normalisation report highlighting inconsistent or non-standard string values in fields like company_group and date, and (2) a duplicate key report identifying rows with repeated row_id or key-field combinations across the submitted customer segment observation records.","failureModes":["More than 200 rows submitted — request exceeds maximum row limit","Missing required fields (row_id, company_group, date, account_count, revenue_amount) in one or more rows","Invalid date format (must match YYYY-MM-DD pattern)","row_id exceeds 80 character maxLength","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Empty rows array submitted (minItems: 1 not satisfied)"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and duplicate key detection together on customer segment observation data (account_count, revenue_amount) in a single low-cost call. It is ideal for pre-processing or auditing segment datasets up to 200 rows before further analysis, storage, or reporting. Prefer this over general-purpose deduplication tools when your data specifically follows the customer segment schema with company_group and date dimensions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T06:55:51.539Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-string-normalisation-duplicate-key-report-729ac661"}