{"uid":"cap_6CKUFVCo5rwS7mDpW7O7g","slug":"customer-segment-observations-record-quality-audit-string-50e0f865","name":"Customer Segment Observations — Record Quality Audit + String Normalisation + Duplicate Key Report","description":"Customer segment observations — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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-16-192?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_s8DDANHgifv8qSVjQpJjD","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 records: a record quality audit, string normalisation, and a duplicate key report — all without any external lookups or live data.","exampleAgentPrompt":"Can you audit this set of customer segment rows for data quality issues, normalise the company_group strings, and flag any duplicate row IDs? Here are up to 200 rows with fields: row_id, company_group, date, account_count, and revenue_amount.","exampleUseCases":[{"title":"Pre-pipeline data quality check","prompt":"Before I load this batch of customer segment records into our data warehouse, can you run a quality audit, normalise the company group strings, and identify any duplicate row IDs? I have about 150 rows with account_count and revenue_amount fields."},{"title":"Segment report deduplication review","prompt":"I've got a CSV export of customer segment observations — around 80 rows — with columns for row_id, company_group, date, account_count, and revenue_amount. Can you check for duplicate keys, clean up any inconsistent string formatting, and give me a quality summary?"},{"title":"Monthly revenue data hygiene audit","prompt":"We just pulled our monthly customer segment data with account counts and revenue amounts across different company groups. Can you audit the 120 rows for record quality issues, normalise the group name strings, and report any duplicate row IDs before we share this with leadership?"}],"resultDescription":"Three independent reports: (1) a record quality audit flagging missing, null, or out-of-range values in account_count and revenue_amount fields; (2) a string normalisation report showing standardised versions of company_group and other string fields; (3) a duplicate key report identifying rows sharing the same row_id or key combination. All reports are computed locally with no external data access.","failureModes":["Exceeding 200 rows results in rejection or truncation","Missing required fields (row_id, company_group, date, account_count, revenue_amount) causes validation errors","Malformed date strings not matching YYYY-MM-DD pattern may cause row-level errors","Numeric values outside ±1,000,000,000,000 bounds will be rejected","Empty row array returns an error"],"whenToPreferThis":"Choose this endpoint when you need a low-cost ($0.01 USDC), self-contained data quality pass on up to 200 customer segment observation records covering three reports at once: quality audit, string normalisation, and duplicate detection. Ideal for pre-pipeline validation or spot-checks on CRM-style data where no live lookup, ML prediction, or external enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T06:58:00.426Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-record-quality-audit-string-50e0f865"}