{"uid":"cap_wYNQ0l8OHrISrYeCMnSlw","slug":"duplicate-observations-analytics-base-100-series-date-by-category-pivot-f97c8f40","name":"Duplicate Observations Analytics — Base-100 Series + Date by Category Pivot","description":"Duplicate observations — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot for supplied duplicate observations records (duplicate_rows, total_rows). 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-analytics-04-167?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_3H5BfKkJWYxZJdHp2kxA0","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":"Generates two analytical reports (Base-100 indexed series and a date-by-category pivot) from supplied duplicate observation row data, for up to 200 rows.","exampleAgentPrompt":"I have up to 4 rows of duplicate observation data — for group-a and group-b across dates 2026-10-01 through 2026-10-04 — can you run the base-100 series and date-by-category pivot reports on the duplicate_rows field, using index 0 as the base?","exampleUseCases":[{"title":"Data pipeline duplicate rate trending","prompt":"I have daily duplicate row counts and total row counts for three pipeline groups across October — can you generate a base-100 trend and a date-by-category pivot on the duplicate_rows field, starting the index from row 0?"},{"title":"Data quality audit across dataset groups","prompt":"I want to compare how duplicate counts have evolved across dataset groups A and B over the past week — give me both the rebased-to-100 series and a pivot table showing duplicates by date and group, using the duplicate_rows metric."},{"title":"Baseline comparison for deduplication effort","prompt":"After we ran our deduplication job, I have before-and-after row counts — can you produce a base-100 indexed series and a date-by-category pivot on total_rows so I can see the relative improvement per group over time?"}],"resultDescription":"Returns two analytical reports computed from the supplied rows: (1) a Base-100 rebase series normalizing the chosen field (duplicate_rows or total_rows) relative to the record at base_index, and (2) a date-by-category pivot table cross-tabulating the chosen field by date and dataset_group. Covers up to 200 input rows with no external data lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","base_index out of range (0–199) or exceeds supplied row count — index error","Null or missing required fields (row_id, dataset_group, date) — schema error","Non-numeric values for duplicate_rows or total_rows — type validation failure"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of duplicate observation data (with duplicate_rows and total_rows per date and group) and need both a normalized base-100 trend series AND a date-by-category pivot in a single low-cost call. It is a self-contained analytical engine requiring no live lookups or external data, making it ideal for reproducible, offline data quality reporting.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:15.297Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-base-100-series-date-by-category-pivot-f97c8f40"}