{"uid":"cap_tYj3OXJEjf1sFsDmyPgi9","slug":"duplicate-observations-analytics-record-quality-audit-string-35cc8201","name":"Duplicate Observations Analytics — Record Quality Audit, String Normalisation & Base-100 Series","description":"Duplicate observations — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series for supplied duplicate observations records (duplicate_rows, total_rows). 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-analytics-04-201?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","duplicate_rows","total_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"duplicate_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_rows":1,"dataset_group":"group-a","duplicate_rows":10},{"date":"2026-10-02","row_id":"row-2","total_rows":2,"dataset_group":"group-b","duplicate_rows":20},{"date":"2026-10-03","row_id":"row-3","total_rows":3,"dataset_group":"group-a","duplicate_rows":15},{"date":"2026-10-04","row_id":"row-4","total_rows":4,"dataset_group":"group-b","duplicate_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["duplicate_rows","total_rows"],"type":"string","default":"duplicate_rows"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_GeZ-zWOA2duP_faJ_b83H","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 duplicate observation data: a record quality audit, string normalisation, and a base-100 index series — for up to 200 rows of duplicate_rows/total_rows data.","exampleAgentPrompt":"Run the three-report analytics bundle on my duplicate observation data — here are 4 rows with dataset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, duplicate_rows counts of 10, 20, 15, 30, and total_rows of 1, 2, 3, 4. Use duplicate_rows as the field and start the base-100 index at row 0.","exampleUseCases":[{"title":"Monthly duplicate rate quality audit","prompt":"I have 50 rows of duplicate observation data from October — each row has a dataset group, a date, a count of duplicate_rows, and total_rows. Can you run the record quality audit, string normalisation, and base-100 series reports on all of them using duplicate_rows as the field and base index at row 0?"},{"title":"Compare duplicate proportions across dataset groups","prompt":"I want to analyze duplicate counts across two dataset groups, 'finance' and 'ops', over 30 daily records. Run the full three-report analytics on them — total_rows field, base index starting at position 0 — and tell me what the quality audit and index series show."},{"title":"Normalize group label strings in duplicate tracking data","prompt":"My duplicate tracking spreadsheet has inconsistent dataset_group labels and I want them normalized. Can you run the string normalisation report — along with the quality audit and base-100 index — on my 80 rows using the duplicate_rows field and base index at row 0?"}],"resultDescription":"Returns three independent analytical reports computed locally on the supplied rows: (1) a record quality audit flagging completeness, validity, and consistency issues; (2) a string normalisation report standardizing dataset_group and other string fields; and (3) a base-100 index series for the chosen numeric field (duplicate_rows or total_rows) anchored to the specified base_index row. No external lookups or predictions are made.","failureModes":["More than 200 rows submitted — API rejects with validation error","Missing required fields (row_id, date, dataset_group, duplicate_rows, total_rows) cause row-level errors or rejection","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","base_index out of range (>199 or negative) causes parameter rejection","Numeric values outside allowed range (±1 trillion) fail schema validation","Payment not included or insufficient USDC causes x402 payment-required response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of duplicate observation data (with duplicate_rows and total_rows fields) and need three bundled local analytical reports — quality audit, string normalisation, and base-100 index series — in a single low-cost call ($0.01 USDC). Prefer it over building custom analytics when you want fast, self-contained, no-external-lookup computation on structured duplicate tracking data. Not suitable for live data fetching, predictions, or datasets exceeding 200 rows per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:07:38.237Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-record-quality-audit-string-35cc8201"}